{ "cells": [ { "cell_type": "code", "id": "initial_id", "metadata": { "collapsed": true, "ExecuteTime": { "end_time": "2024-04-16T17:40:39.605207Z", "start_time": "2024-04-16T17:40:37.592172Z" } }, "source": [ "from data import load_data, categorize_metadata, process_experiments\n", "import pandas as pd\n", "import numpy as np\n", "import os" ], "outputs": [], "execution_count": 1 }, { "metadata": { "ExecuteTime": { "end_time": "2024-04-16T17:40:40.100841Z", "start_time": "2024-04-16T17:40:39.605207Z" } }, "cell_type": "code", "source": [ "metadata_train, experiments_train = load_data(os.path.join(\"..\", \"data\", \"train\"), \"\")\n", "truth_train, metadata_train = categorize_metadata(metadata_train)\n", "metadata_test, experiments_test = load_data(os.path.join(\"..\", \"data\", \"test\"), \"\")\n", "truth_test, metadata_test = categorize_metadata(metadata_test)" ], "id": "f48d3dca7499a5f8", "outputs": [], "execution_count": 2 }, { "metadata": { "ExecuteTime": { "end_time": "2024-04-16T17:40:43.055129Z", "start_time": "2024-04-16T17:40:40.100841Z" } }, "cell_type": "code", "source": [ "from sklearn.model_selection import train_test_split\n", "processed_train = process_experiments(experiments_train, baseline_lam=10, baseline_p=1e-2, smooth_window_length=7, smooth_polyorder=3)\n", "X_train = pd.concat([metadata_train, processed_train], axis=1)\n", "processed_test = process_experiments(experiments_test, baseline_lam=10, baseline_p=1e-2, smooth_window_length=7, smooth_polyorder=3)\n", "X_test = pd.concat([metadata_test, processed_test], axis=1)" ], "id": "8fb458c0b78c9aa7", "outputs": [], "execution_count": 3 }, { "metadata": { "ExecuteTime": { "end_time": "2024-04-16T17:40:43.127855Z", "start_time": "2024-04-16T17:40:43.055129Z" } }, "cell_type": "code", "source": [ "from sklearn.preprocessing import StandardScaler\n", "scaler = StandardScaler()\n", "scaler.fit(X_train)\n", "X_train = scaler.transform(X_train)\n", "X_test = scaler.transform(X_test)" ], "id": "2572f4508200d308", "outputs": [], "execution_count": 4 }, { "metadata": { "ExecuteTime": { "end_time": "2024-04-16T17:42:11.247830Z", "start_time": "2024-04-16T17:40:43.127855Z" } }, "cell_type": "code", "source": [ "from sklearn.ensemble import RandomForestClassifier\n", "from sklearn.model_selection import GridSearchCV\n", "param_grid = {\n", " 'n_estimators': range(1, 201, 50),\n", " 'max_depth': range(10, 11, 10)\n", "}\n", "\n", "clf = RandomForestClassifier()\n", "\n", "grid_clf = GridSearchCV(clf, param_grid, cv=20)\n", "grid_clf.fit(X_train, truth_train.to_numpy().ravel())" ], "id": "80a355d2740ebf4a", "outputs": [ { "data": { "text/plain": [ "GridSearchCV(cv=20, estimator=RandomForestClassifier(),\n", " param_grid={'max_depth': range(10, 11, 10),\n", " 'n_estimators': range(1, 201, 50)})" ], "text/html": [ "
GridSearchCV(cv=20, estimator=RandomForestClassifier(),\n",
       "             param_grid={'max_depth': range(10, 11, 10),\n",
       "                         'n_estimators': range(1, 201, 50)})
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "execution_count": 5 }, { "metadata": { "ExecuteTime": { "end_time": "2024-04-16T17:42:11.260342Z", "start_time": "2024-04-16T17:42:11.247830Z" } }, "cell_type": "code", "source": "grid_clf.cv_results_", "id": "790017144f8feaa6", "outputs": [ { "data": { "text/plain": [ "{'mean_fit_time': array([0.02515169, 0.81249317, 1.44318742, 2.0558908 ]),\n", " 'std_fit_time': array([0.00768036, 0.233411 , 0.24691436, 0.13221224]),\n", " 'mean_score_time': array([0. , 0.00578324, 0.00520812, 0.00942556]),\n", " 'std_score_time': array([0. , 0.00711642, 0.00715995, 0.00759582]),\n", " 'param_max_depth': masked_array(data=[10, 10, 10, 10],\n", " mask=[False, False, False, False],\n", " fill_value='?',\n", " dtype=object),\n", " 'param_n_estimators': masked_array(data=[1, 51, 101, 151],\n", " mask=[False, False, False, False],\n", " fill_value='?',\n", " dtype=object),\n", " 'params': [{'max_depth': 10, 'n_estimators': 1},\n", " {'max_depth': 10, 'n_estimators': 51},\n", " {'max_depth': 10, 'n_estimators': 101},\n", " {'max_depth': 10, 'n_estimators': 151}],\n", " 'split0_test_score': array([0.77777778, 1. , 1. , 1. ]),\n", " 'split1_test_score': array([0.77777778, 1. , 1. , 1. ]),\n", " 'split2_test_score': array([0.74074074, 1. , 1. , 1. ]),\n", " 'split3_test_score': array([0.66666667, 0.92592593, 0.88888889, 0.88888889]),\n", " 'split4_test_score': array([0.96296296, 0.96296296, 0.96296296, 0.96296296]),\n", " 'split5_test_score': array([0.7037037 , 0.92592593, 0.92592593, 0.92592593]),\n", " 'split6_test_score': array([0.88888889, 0.88888889, 0.96296296, 0.92592593]),\n", " 'split7_test_score': array([0.74074074, 1. , 1. , 0.92592593]),\n", " 'split8_test_score': array([0.76923077, 0.96153846, 0.96153846, 0.96153846]),\n", " 'split9_test_score': array([0.80769231, 0.92307692, 0.92307692, 0.88461538]),\n", " 'split10_test_score': array([0.53846154, 0.92307692, 0.84615385, 0.84615385]),\n", " 'split11_test_score': array([0.80769231, 1. , 1. , 1. ]),\n", " 'split12_test_score': array([0.84615385, 1. , 0.96153846, 0.92307692]),\n", " 'split13_test_score': array([0.84615385, 0.96153846, 1. , 1. ]),\n", " 'split14_test_score': array([0.92307692, 1. , 0.96153846, 0.96153846]),\n", " 'split15_test_score': array([0.88461538, 0.96153846, 1. , 0.92307692]),\n", " 'split16_test_score': array([0.38461538, 0.96153846, 0.88461538, 0.92307692]),\n", " 'split17_test_score': array([0.57692308, 1. , 1. , 1. ]),\n", " 'split18_test_score': array([0.84615385, 0.96153846, 0.92307692, 0.96153846]),\n", " 'split19_test_score': array([0.76923077, 0.88461538, 0.88461538, 0.92307692]),\n", " 'mean_test_score': array([0.76296296, 0.96210826, 0.95434473, 0.9468661 ]),\n", " 'std_test_score': array([0.13481565, 0.03776246, 0.04767395, 0.04404705]),\n", " 'rank_test_score': array([4, 1, 2, 3])}" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "execution_count": 6 }, { "metadata": { "ExecuteTime": { "end_time": "2024-04-16T17:42:12.818172Z", "start_time": "2024-04-16T17:42:11.260342Z" } }, "cell_type": "code", "source": [ "import matplotlib.pyplot as plt\n", "z = grid_clf.cv_results_['mean_test_score']\n", "x = list(map(lambda x: x['max_depth'], grid_clf.cv_results_['params']))\n", "y = list(map(lambda x: x['n_estimators'], grid_clf.cv_results_['params']))\n", "fig, ax = plt.subplots(subplot_kw={\"projection\": \"3d\"})\n", "_ = ax.plot_trisurf(x, y, z)\n" ], "id": "7220b441cfbd90d7", "outputs": [ { "ename": "RuntimeError", "evalue": "Error in qhull Delaunay triangulation calculation: input inconsistency (exitcode=1); use python verbose option (-v) to see original qhull error.", "output_type": "error", "traceback": [ "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m", "\u001B[1;31mRuntimeError\u001B[0m Traceback (most recent call last)", "Cell \u001B[1;32mIn[7], line 6\u001B[0m\n\u001B[0;32m 4\u001B[0m y \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mlist\u001B[39m(\u001B[38;5;28mmap\u001B[39m(\u001B[38;5;28;01mlambda\u001B[39;00m x: x[\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mn_estimators\u001B[39m\u001B[38;5;124m'\u001B[39m], grid_clf\u001B[38;5;241m.\u001B[39mcv_results_[\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mparams\u001B[39m\u001B[38;5;124m'\u001B[39m]))\n\u001B[0;32m 5\u001B[0m fig, ax \u001B[38;5;241m=\u001B[39m plt\u001B[38;5;241m.\u001B[39msubplots(subplot_kw\u001B[38;5;241m=\u001B[39m{\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mprojection\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m3d\u001B[39m\u001B[38;5;124m\"\u001B[39m})\n\u001B[1;32m----> 6\u001B[0m _ \u001B[38;5;241m=\u001B[39m \u001B[43max\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mplot_trisurf\u001B[49m\u001B[43m(\u001B[49m\u001B[43mx\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43my\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mz\u001B[49m\u001B[43m)\u001B[49m\n", "File \u001B[1;32m~\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\mpl_toolkits\\mplot3d\\axes3d.py:2003\u001B[0m, in \u001B[0;36mAxes3D.plot_trisurf\u001B[1;34m(self, color, norm, vmin, vmax, lightsource, *args, **kwargs)\u001B[0m\n\u001B[0;32m 1999\u001B[0m cmap \u001B[38;5;241m=\u001B[39m kwargs\u001B[38;5;241m.\u001B[39mget(\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mcmap\u001B[39m\u001B[38;5;124m'\u001B[39m, \u001B[38;5;28;01mNone\u001B[39;00m)\n\u001B[0;32m 2000\u001B[0m shade \u001B[38;5;241m=\u001B[39m kwargs\u001B[38;5;241m.\u001B[39mpop(\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mshade\u001B[39m\u001B[38;5;124m'\u001B[39m, cmap \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m)\n\u001B[0;32m 2002\u001B[0m tri, args, kwargs \u001B[38;5;241m=\u001B[39m \\\n\u001B[1;32m-> 2003\u001B[0m \u001B[43mTriangulation\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mget_from_args_and_kwargs\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43margs\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m 2004\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[0;32m 2005\u001B[0m z \u001B[38;5;241m=\u001B[39m kwargs\u001B[38;5;241m.\u001B[39mpop(\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mZ\u001B[39m\u001B[38;5;124m'\u001B[39m)\n", "File \u001B[1;32m~\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\matplotlib\\tri\\_triangulation.py:167\u001B[0m, in \u001B[0;36mTriangulation.get_from_args_and_kwargs\u001B[1;34m(*args, **kwargs)\u001B[0m\n\u001B[0;32m 164\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[0;32m 165\u001B[0m x, y, triangles, mask, args, kwargs \u001B[38;5;241m=\u001B[39m \\\n\u001B[0;32m 166\u001B[0m Triangulation\u001B[38;5;241m.\u001B[39m_extract_triangulation_params(args, kwargs)\n\u001B[1;32m--> 167\u001B[0m triangulation \u001B[38;5;241m=\u001B[39m \u001B[43mTriangulation\u001B[49m\u001B[43m(\u001B[49m\u001B[43mx\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43my\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mtriangles\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mmask\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m 168\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m triangulation, args, kwargs\n", "File \u001B[1;32m~\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\matplotlib\\tri\\_triangulation.py:60\u001B[0m, in \u001B[0;36mTriangulation.__init__\u001B[1;34m(self, x, y, triangles, mask)\u001B[0m\n\u001B[0;32m 55\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mis_delaunay \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;01mFalse\u001B[39;00m\n\u001B[0;32m 57\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m triangles \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m:\n\u001B[0;32m 58\u001B[0m \u001B[38;5;66;03m# No triangulation specified, so use matplotlib._qhull to obtain\u001B[39;00m\n\u001B[0;32m 59\u001B[0m \u001B[38;5;66;03m# Delaunay triangulation.\u001B[39;00m\n\u001B[1;32m---> 60\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mtriangles, \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_neighbors \u001B[38;5;241m=\u001B[39m \u001B[43m_qhull\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mdelaunay\u001B[49m\u001B[43m(\u001B[49m\u001B[43mx\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43my\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43msys\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mflags\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mverbose\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m 61\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mis_delaunay \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;01mTrue\u001B[39;00m\n\u001B[0;32m 62\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[0;32m 63\u001B[0m \u001B[38;5;66;03m# Triangulation specified. Copy, since we may correct triangle\u001B[39;00m\n\u001B[0;32m 64\u001B[0m \u001B[38;5;66;03m# orientation.\u001B[39;00m\n", "\u001B[1;31mRuntimeError\u001B[0m: Error in qhull Delaunay triangulation calculation: input inconsistency (exitcode=1); use python verbose option (-v) to see original qhull error." ] }, { "data": { "text/plain": [ "
" ], "image/png": 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" }, "metadata": {}, "output_type": "display_data" } ], "execution_count": 7 }, { "metadata": { "ExecuteTime": { "end_time": "2024-04-16T17:45:12.146424Z", "start_time": "2024-04-16T17:42:15.736442Z" } }, "cell_type": "code", "source": [ "from sklearn.model_selection import cross_val_score\n", "\n", "for polyorder in range(3, 25, 2):\n", " processed_train = process_experiments(experiments_train, baseline_lam=10, baseline_p=1e-2, smooth_window_length=polyorder+2, smooth_polyorder=polyorder)\n", " X_train = pd.concat([metadata_train, processed_train], axis=1)\n", " scaler = StandardScaler()\n", " scaler.fit(X_train)\n", " X_train = scaler.transform(X_train)\n", " clf = RandomForestClassifier()\n", " print(polyorder, np.mean(cross_val_score(clf, X_train, truth_train.to_numpy().ravel(), cv=10)))\n", " " ], "id": "e518d47d3a6aef5e", "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "3 0.9468795355587808\n", "5 0.9430696661828737\n", "7 0.9431785195936138\n", "9 0.9469158200290275\n", "11 0.9526487663280117\n", "13 0.9336357039187227\n", "15 0.9488026124818576\n", "17 0.9449927431059505\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "19 0.9166182873730044\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "21 0.928011611030479\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n", "C:\\Users\\Ed\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:193: RankWarning: Polyfit may be poorly conditioned\n", " poly_coeffs = np.polyfit(np.arange(0, window_stop - window_start),\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "23 0.928011611030479\n" ] } ], "execution_count": 8 }, { "metadata": { "ExecuteTime": { "end_time": "2024-04-16T17:46:29.122526Z", "start_time": "2024-04-16T17:46:22.315641Z" } }, "cell_type": "code", "source": [ "temp = process_experiments(experiments_train, baseline_lam=10, baseline_p=1e-2, smooth_window_length=7, smooth_polyorder=3)\n", "_ = temp.transpose().plot(legend=False)\n", "temp = process_experiments(experiments_train, baseline_lam=10, baseline_p=1e-2, smooth_window_length=19, smooth_polyorder=17)\n", "_ = temp.transpose().plot(legend=False)" ], "id": "181d38c70d5cd1a1", "outputs": [ { "data": { "text/plain": [ "
" ], "image/png": 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" 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" }, "metadata": {}, "output_type": "display_data" } ], "execution_count": 9 }, { "metadata": { "ExecuteTime": { "end_time": "2024-04-16T18:00:26.278947Z", "start_time": "2024-04-16T17:59:19.497419Z" } }, "cell_type": "code", "source": [ "for droprate in [1, 2, 3, 5, 10, 20, 50, 100, 200, 500, 1000]:\n", " dropped_train = experiments_train.iloc[:, ::droprate]\n", " processed_train = process_experiments(dropped_train, baseline_lam=10, baseline_p=1e-2, smooth_window_length=7, smooth_polyorder=3)\n", " X_train = pd.concat([metadata_train, processed_train], axis=1)\n", " scaler = StandardScaler()\n", " scaler.fit(X_train)\n", " X_train = scaler.transform(X_train)\n", " clf = RandomForestClassifier()\n", " print(droprate, dropped_train.shape, np.mean(cross_val_score(clf, X_train, truth_train.to_numpy().ravel(), cv=10)))" ], "id": "ebb00d3254a98b96", "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1 (528, 1746) 0.9563134978229317\n", "2 (528, 873) 0.9583454281567487\n", "3 (528, 582) 0.9526124818577649\n", "5 (528, 350) 0.9489477503628446\n", "10 (528, 175) 0.9659288824383163\n", "20 (528, 88) 0.9678156748911466\n", "50 (528, 35) 0.9546081277213352\n", "100 (528, 18) 0.9205370101596516\n", "200 (528, 9) 0.9148403483309144\n" ] }, { "ename": "ValueError", "evalue": "If mode is 'interp', window_length must be less than or equal to the size of x.", "output_type": "error", "traceback": [ "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m", "\u001B[1;31mValueError\u001B[0m Traceback (most recent call last)", "Cell \u001B[1;32mIn[14], line 3\u001B[0m\n\u001B[0;32m 1\u001B[0m \u001B[38;5;28;01mfor\u001B[39;00m droprate \u001B[38;5;129;01min\u001B[39;00m [\u001B[38;5;241m1\u001B[39m, \u001B[38;5;241m2\u001B[39m, \u001B[38;5;241m3\u001B[39m, \u001B[38;5;241m5\u001B[39m, \u001B[38;5;241m10\u001B[39m, \u001B[38;5;241m20\u001B[39m, \u001B[38;5;241m50\u001B[39m, \u001B[38;5;241m100\u001B[39m, \u001B[38;5;241m200\u001B[39m, \u001B[38;5;241m500\u001B[39m, \u001B[38;5;241m1000\u001B[39m]:\n\u001B[0;32m 2\u001B[0m dropped_train \u001B[38;5;241m=\u001B[39m experiments_train\u001B[38;5;241m.\u001B[39miloc[:, ::droprate]\n\u001B[1;32m----> 3\u001B[0m processed_train \u001B[38;5;241m=\u001B[39m \u001B[43mprocess_experiments\u001B[49m\u001B[43m(\u001B[49m\u001B[43mdropped_train\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mbaseline_lam\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[38;5;241;43m10\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mbaseline_p\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[38;5;241;43m1e-2\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43msmooth_window_length\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[38;5;241;43m7\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43msmooth_polyorder\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[38;5;241;43m3\u001B[39;49m\u001B[43m)\u001B[49m\n\u001B[0;32m 4\u001B[0m X_train \u001B[38;5;241m=\u001B[39m pd\u001B[38;5;241m.\u001B[39mconcat([metadata_train, processed_train], axis\u001B[38;5;241m=\u001B[39m\u001B[38;5;241m1\u001B[39m)\n\u001B[0;32m 5\u001B[0m scaler \u001B[38;5;241m=\u001B[39m StandardScaler()\n", "File \u001B[1;32m~\\Desktop\\Programming\\RamanClassifier\\data\\data_processing.py:87\u001B[0m, in \u001B[0;36mprocess_experiments\u001B[1;34m(experiments, baseline_lam, baseline_p, smooth_window_length, smooth_polyorder)\u001B[0m\n\u001B[0;32m 85\u001B[0m experiments \u001B[38;5;241m=\u001B[39m adjust_all_baselines(experiments, lam\u001B[38;5;241m=\u001B[39mbaseline_lam, p\u001B[38;5;241m=\u001B[39mbaseline_p)\n\u001B[0;32m 86\u001B[0m experiments \u001B[38;5;241m=\u001B[39m scale_experiments(experiments)\n\u001B[1;32m---> 87\u001B[0m experiments \u001B[38;5;241m=\u001B[39m \u001B[43msmooth_experiments\u001B[49m\u001B[43m(\u001B[49m\u001B[43mexperiments\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mwindow_length\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43msmooth_window_length\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mpolyorder\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43msmooth_polyorder\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m 88\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m experiments\n", "File \u001B[1;32m~\\Desktop\\Programming\\RamanClassifier\\data\\data_processing.py:72\u001B[0m, in \u001B[0;36msmooth_experiments\u001B[1;34m(experiments, window_length, polyorder)\u001B[0m\n\u001B[0;32m 70\u001B[0m result \u001B[38;5;241m=\u001B[39m experiments\u001B[38;5;241m.\u001B[39mcopy(deep\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mTrue\u001B[39;00m)\n\u001B[0;32m 71\u001B[0m \u001B[38;5;28;01mfor\u001B[39;00m index, row \u001B[38;5;129;01min\u001B[39;00m result\u001B[38;5;241m.\u001B[39miterrows():\n\u001B[1;32m---> 72\u001B[0m result\u001B[38;5;241m.\u001B[39miloc[index, :] \u001B[38;5;241m=\u001B[39m \u001B[43mapply_smoothing\u001B[49m\u001B[43m(\u001B[49m\u001B[43mrow\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mwindow_length\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mwindow_length\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mpolyorder\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mpolyorder\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m 73\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m result\n", "File \u001B[1;32m~\\Desktop\\Programming\\RamanClassifier\\data\\data_processing.py:66\u001B[0m, in \u001B[0;36mapply_smoothing\u001B[1;34m(experiment, window_length, polyorder)\u001B[0m\n\u001B[0;32m 65\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21mapply_smoothing\u001B[39m(experiment, window_length\u001B[38;5;241m=\u001B[39m\u001B[38;5;241m7\u001B[39m, polyorder\u001B[38;5;241m=\u001B[39m\u001B[38;5;241m3\u001B[39m):\n\u001B[1;32m---> 66\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43msavgol_filter\u001B[49m\u001B[43m(\u001B[49m\u001B[43mexperiment\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mwindow_length\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mpolyorder\u001B[49m\u001B[43m)\u001B[49m\n", "File \u001B[1;32m~\\Desktop\\Programming\\RamanClassifier\\venv\\Lib\\site-packages\\scipy\\signal\\_savitzky_golay.py:345\u001B[0m, in \u001B[0;36msavgol_filter\u001B[1;34m(x, window_length, polyorder, deriv, delta, axis, mode, cval)\u001B[0m\n\u001B[0;32m 343\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m mode \u001B[38;5;241m==\u001B[39m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124minterp\u001B[39m\u001B[38;5;124m\"\u001B[39m:\n\u001B[0;32m 344\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m window_length \u001B[38;5;241m>\u001B[39m x\u001B[38;5;241m.\u001B[39mshape[axis]:\n\u001B[1;32m--> 345\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mValueError\u001B[39;00m(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mIf mode is \u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124minterp\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124m, window_length must be less \u001B[39m\u001B[38;5;124m\"\u001B[39m\n\u001B[0;32m 346\u001B[0m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mthan or equal to the size of x.\u001B[39m\u001B[38;5;124m\"\u001B[39m)\n\u001B[0;32m 348\u001B[0m \u001B[38;5;66;03m# Do not pad. Instead, for the elements within `window_length // 2`\u001B[39;00m\n\u001B[0;32m 349\u001B[0m \u001B[38;5;66;03m# of the ends of the sequence, use the polynomial that is fitted to\u001B[39;00m\n\u001B[0;32m 350\u001B[0m \u001B[38;5;66;03m# the last `window_length` elements.\u001B[39;00m\n\u001B[0;32m 351\u001B[0m y \u001B[38;5;241m=\u001B[39m convolve1d(x, coeffs, axis\u001B[38;5;241m=\u001B[39maxis, mode\u001B[38;5;241m=\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mconstant\u001B[39m\u001B[38;5;124m\"\u001B[39m)\n", "\u001B[1;31mValueError\u001B[0m: If mode is 'interp', window_length must be less than or equal to the size of x." ] } ], "execution_count": 14 }, { "metadata": { "ExecuteTime": { "end_time": "2024-04-16T18:01:59.073661Z", "start_time": "2024-04-16T18:01:57.766415Z" } }, "cell_type": "code", "source": [ "clf = RandomForestClassifier()\n", "print(np.mean(cross_val_score(clf, 0*X_train, truth_train.to_numpy().ravel(), cv=10)))" ], "id": "59fa3f4c120b9255", "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0.35420899854862115\n" ] } ], "execution_count": 15 }, { "metadata": {}, "cell_type": "code", "outputs": [], "execution_count": null, "source": "", "id": "8e54d640f33e81bc" } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.6" } }, "nbformat": 4, "nbformat_minor": 5 }