{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "e9ca0612-adb5-4d11-89a1-b224de3bd3b5", "metadata": {}, "outputs": [], "source": [ "import sys\n", "sys.path.append('../') ##accrocchio\n", "from src.utils import retrive_data,split\n", "import pickle" ] }, { "cell_type": "code", "execution_count": 3, "id": "dcb4d7b5-fe20-43f1-b988-51c9d595e06d", "metadata": {}, "outputs": [], "source": [ "labeled,labeled_small,to_remove = retrive_data(False,threshold_under_represented=0.5,path='/home/agobbi/Projects/PID/datanalytics/PID/src')" ] }, { "cell_type": "code", "execution_count": 4, "id": "569dff52-2a78-43f4-ae40-07842d3669e3", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " class p\n", "0 0 0.203424\n", "1 1 0.013596\n", "2 2 0.056109\n", "3 3 1.130661\n", "4 4 16.206137\n" ] } ], "source": [ "dataset,dataset_test = split(labeled_small,\n", " SKI_AREA_TEST= 'Klausberg',\n", " SEASON_TEST_SKIAREA = 'Kronplatz',\n", " SEASON_TEST_YEAR= 2023,\n", " use_smote = False,\n", " weight_type = 'sqrt' )" ] }, { "cell_type": "code", "execution_count": 5, "id": "65405081-748d-43ef-aed6-2a58e38673b4", "metadata": {}, "outputs": [], "source": [ "with open('../src/best_params_and_final_model.pkl','rb') as f:\n", " tot,bst_FS,FS = pickle.load(f) " ] }, { "cell_type": "code", "execution_count": 36, "id": "53434031-1a11-49f7-9481-de77f250d35b", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n" ] } ], "source": [ "import shap\n", "import xgboost as xgb\n", "import numpy as np\n", "dtest_FS = xgb.DMatrix(dataset_test.X_test_area[bst_FS.feature_names],dataset_test.y_test_area,enable_categorical=True,)\n", "\n", "explainer = shap.TreeExplainer(bst_FS,feature_names=bst_FS.feature_names)\n", "shap_values = explainer.shap_values(dtest_FS)\n" ] }, { "cell_type": "code", "execution_count": 37, "id": "f3b72453-27be-4db5-b40d-883454c294f9", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "shap.initjs()" ] }, { "cell_type": "code", "execution_count": 38, "id": "129dd5fb-367e-493e-937c-12ae0727cf85", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([2.58451770e-03, 2.63414029e-02, 8.63697469e-01, 1.07182816e-01,\n", " 1.93854154e-04], dtype=float32)" ] }, "execution_count": 38, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pred = bst_FS.predict(dtest_FS)\n" ] }, { "cell_type": "code", "execution_count": 39, "id": "46bf2240-cfff-4c1b-a5db-87290bf566be", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "age 53.0\n", "diagnosis dislocation\n", "injury_general_location upper_limbs\n", "country Germania\n", "difficulty easy\n", "cause fall_alone\n", "destination hospital_emergency_room\n", "injury_side R\n", "equipment ski\n", "gender F\n", "snowmobile True\n", "helicopter True\n", "akja False\n", "helmet True\n", "ambulance False\n", "snowmobile_sled False\n", "ski_lift False\n", "indipendently False\n", "skiarea_ambulance False\n", "other False\n", "Name: 724, dtype: object" ] }, "execution_count": 39, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dataset_test.X_test_area[bst_FS.feature_names].iloc[2]" ] }, { "cell_type": "code", "execution_count": 51, "id": "27f3b14c-4917-45ff-93ee-234dbc392b20", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "2" ] }, "execution_count": 51, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dataset_test.y_test_area.iloc[2]" ] }, { "cell_type": "code", "execution_count": 44, "id": "91430837-ad76-4835-afbb-3793bbed77fd", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([ 0., 3., 86., 11., 0.], dtype=float32)" ] }, "execution_count": 44, "metadata": {}, "output_type": "execute_result" } ], "source": [ "np.round(pred[2]*100)" ] }, { "cell_type": "code", "execution_count": 64, "id": "9799b767-15f2-403b-8535-eb471b862ab3", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[-3.5973988, -1.704391, 1.8931085, -0.9031036, -7.5351233]" ] }, "execution_count": 64, "metadata": {}, "output_type": "execute_result" } ], "source": [ "[shap_values[i][2].sum() for i in range(5)]" ] }, { "cell_type": "code", "execution_count": 71, "id": "f4cac6a8-1ecc-435b-a7c0-5dff7df561f3", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "
\n", "
\n", " Visualization omitted, Javascript library not loaded!
\n", " Have you run `initjs()` in this notebook? If this notebook was from another\n", " user you must also trust this notebook (File -> Trust notebook). If you are viewing\n", " this notebook on github the Javascript has been stripped for security. If you are using\n", " JupyterLab this error is because a JupyterLab extension has not yet been written.\n", "
\n", " " ], "text/plain": [ "" ] }, "execution_count": 71, "metadata": {}, "output_type": "execute_result" } ], "source": [ "i=1\n", "shap.plots.force(explainer.expected_value[1], shap_values[i][2],feature_names=bst_FS.feature_names)\n" ] }, { "cell_type": "code", "execution_count": 70, "id": "3d56cbf0-ff20-4d3a-94b7-a0e07c5cc019", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "
\n", "
\n", " Visualization omitted, Javascript library not loaded!
\n", " Have you run `initjs()` in this notebook? If this notebook was from another\n", " user you must also trust this notebook (File -> Trust notebook). If you are viewing\n", " this notebook on github the Javascript has been stripped for security. If you are using\n", " JupyterLab this error is because a JupyterLab extension has not yet been written.\n", "
\n", " " ], "text/plain": [ "" ] }, "execution_count": 70, "metadata": {}, "output_type": "execute_result" } ], "source": [ "i=2\n", "shap.plots.force(explainer.expected_value[1], shap_values[i][2],feature_names=bst_FS.feature_names)" ] }, { "cell_type": "code", "execution_count": 6, "id": "6bbece5c-75f4-4ba0-a44e-677d9819b17a", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/tmp/ipykernel_48291/444630369.py:4: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", " df = pd.read_sql('select * from fbk_export_20240212', con=engine)\n" ] } ], "source": [ "import psycopg2 as pg\n", "import pandas as pd\n", "engine = pg.connect(\"dbname='safeidx' user='fbk_mpba' host='172.104.247.67' port='5432' password='fbk2024$'\")\n", "df = pd.read_sql('select * from fbk_export_20240212', con=engine) " ] }, { "cell_type": "code", "execution_count": 7, "id": "4b2cad74-76b2-4860-bacc-807156e2dfc0", "metadata": {}, "outputs": [], "source": [ "df = df[pd.isna(df.india)] ##solo quelli senza label" ] }, { "cell_type": "code", "execution_count": 8, "id": "852e69e7-126d-4a27-beb7-9045e26f2f76", "metadata": {}, "outputs": [], "source": [ "from src.utils import prepare_new_data\n", "with open('../src/to_remove.pkl','rb') as f:\n", " to_remove = pickle.load(f)\n" ] }, { "cell_type": "code", "execution_count": 9, "id": "1e6303a4-ab85-4476-8bdd-ee10e7f92e04", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/agobbi/Projects/PID/datanalytics/PID/notebooks/../src/utils.py:58: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value 'other' has dtype incompatible with bool, please explicitly cast to a compatible dtype first.\n", " dataset_p_small.loc[dataset_p[c]==k,c] = 'other'\n", "/home/agobbi/Projects/PID/datanalytics/PID/notebooks/../src/utils.py:61: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", " dataset_p_small[c] = dataset_p_small[c].fillna('None').astype('category')\n" ] } ], "source": [ "dataset_p,dataset_p_small = prepare_new_data(df,to_remove)" ] }, { "cell_type": "code", "execution_count": 15, "id": "e33a020d-d5af-4fbc-b5ba-3422ff87fd7f", "metadata": {}, "outputs": [], "source": [ "import xgboost as xgb\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "unlabeled_dm = xgb.DMatrix(dataset_p_small[bst_FS.feature_names],enable_categorical=True,)\n" ] }, { "cell_type": "code", "execution_count": 35, "id": "396b40d7-8fd8-4145-ba1e-cd4fddcfa8a9", "metadata": {}, "outputs": [ { "data": { "image/png": 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OxK5du+K9996Lffv2xfDwcLS1tcXLL798zYOts2UOPEB5AjwAZW3bti1KpdJ1j+nt7Z33KTO5XC5yuVyMjY1FQ0PDvJ4bIHUeYgUAgIQI8AAAkBABHoBFp1AoREtLS2zevDnrUgAWHQEegEXHOvAA5S14gL98+XK0t7dHW1tbbNy4MZ577rmFLgEAAJK14KvQrFy5Mvr7+2PFihVRLBZj48aN8eCDD8btt9++0KUAAEByFnwEvra2NlasWBERERMTE1Eqlf7gEmUAAMBvzTrA9/f3x86dO2Pt2rVRU1MTx48fv+aYQqEQGzZsiOXLl8eWLVvi5MmTM76/fPlytLa2xrp16+LrX/96NDY23vQNAFB9PMQKUN6sA3yxWIzW1tYoFAof+v3Ro0cjn8/H/v3748yZM9Ha2ho7duyIixcvTh9z6623xk9+8pO4cOFCPP/88zEyMlL2ehMTEzE2NjbjA0B18xArQHmzDvBdXV3xxBNPxAMPPPCh3z/zzDOxe/fu6OnpiZaWljh06FCsWLEiDh8+fM2xTU1N0draGj/60Y/KXu/AgQPR0NAw/Wlubp5tyQAAUDXmdQ781atXY2BgIDo7O//vAsuWRWdnZ5w4cSIiIkZGRuLKlSsRETE6Ohr9/f1x1113lT3n3r17Y3R0dPozNDQ0nyUDAEBS5nUVmkuXLsXk5GQ0NTXN2N/U1BTnzp2LiIh33nknHn744emHVx955JG4++67y56zvr4+6uvr57NMAABI1oIvI9nR0RGDg4MLfVkAElIoFKJQKMTk5GTWpQAsOvM6haaxsTFqa2uveSh1ZGQk1qxZM6dzW5EAYOnwECtAefMa4Ovq6mLTpk3R19c3vW9qair6+vpi69atczq3Zg4AADcxhWZ8fDzOnz8/vX3hwoUYHByM1atXx/r16yOfz0d3d3e0t7dHR0dHHDx4MIrFYvT09Mxr4QAAsBTNOsCfPn06tm/fPr2dz+cjIqK7uzuOHDkSu3btivfeey/27dsXw8PD0dbWFi+//PI1D7YCAACzN+sAv23btiiVStc9pre3N3p7e2+6qA/jgSYAAJjnOfCVZA48AAAkFOABWDqsPAZQngAPwKLjf10ByksmwBuNAQCAhAK80RgAAEgowAMAAAI8AAAkRYAHAICEJBPgPcQKAAAJBXgPsQIsHQZtAMpLJsADsHQYtAEoT4AHAICECPAAAJAQAR4AABIiwAMAQEKSCfBWJAAAgIQCvBUJAAAgoQAPAAAI8AAAkBQBHgAAEiLAAwBAQgR4ABYdK48BlJdMgNfMAZYOK48BlJdMgNfMAQAgoQAPAAAI8AAAkBQBHgAAEiLAAwBAQgR4AABIiAAPAAAJEeABACAhAjwAACQkmQDvTawAAJBQgPcmVgAASCjAAwAAAjwAACRFgAegoh544IG47bbb4gtf+ELWpQBUBQEegIp69NFH45//+Z+zLgOgagjwAFTUtm3bYuXKlVmXAVA1BHgAyurv74+dO3fG2rVro6amJo4fP37NMYVCITZs2BDLly+PLVu2xMmTJxe+UIAlRIAHoKxisRitra1RKBQ+9PujR49GPp+P/fv3x5kzZ6K1tTV27NgRFy9eXOBKAZaOW7IuAIDFq6urK7q6usp+/8wzz8Tu3bujp6cnIiIOHToUL730Uhw+fDj27Nkz6+tNTEzExMTE9PbY2NjsiwaockbgAbgpV69ejYGBgejs7Jzet2zZsujs7IwTJ07c1DkPHDgQDQ0N05/m5ub5KhegagjwANyUS5cuxeTkZDQ1Nc3Y39TUFMPDw9PbnZ2d8cUvfjG+973vxbp1664b7vfu3Rujo6PTn6GhoYrVD5AqU2gAqKh///d/v+Fj6+vro76+voLVAKQvmRH4QqEQLS0tsXnz5qxLASAiGhsbo7a2NkZGRmbsHxkZiTVr1szp3Ho+QHnJBPhcLhdnz56NU6dOZV0KABFRV1cXmzZtir6+vul9U1NT0dfXF1u3bp3TufV8gPJMoQGgrPHx8Th//vz09oULF2JwcDBWr14d69evj3w+H93d3dHe3h4dHR1x8ODBKBaL06vSADD/BHgAyjp9+nRs3759ejufz0dERHd3dxw5ciR27doV7733Xuzbty+Gh4ejra0tXn755WsebJ2tQqEQhUIhJicn53QegGokwANQ1rZt26JUKl33mN7e3ujt7Z3X6+ZyucjlcjE2NhYNDQ3zem6A1CUzBx4AABDgAQAgKQI8AIuOZSQByhPgAVh0LCMJUJ4ADwAACRHgAQAgIQI8AAAkxDrwQDI27Hkp6xLm5O0n78u6hGR4kRMsbfr99RmBB2DR8RArQHkCPAAAJESABwCAhAjwAACQEAEegEXHm1gByhPgAVh0PMQKUJ4ADwAACRHgAQAgIcm9yKlUKkVExNjY2Kx/dmri/fkuZ8HN9r5Tv2f3e33uNy0307d+9zO/631LzVLu+f58XJ/7TYv7nd3P/aGeX1NK7G+FX/ziF9Hc3Jx1GQALamhoKNatW5d1GQtOzweWoj/U85ML8FNTU/Huu+/GypUro6amJutyZhgbG4vm5uYYGhqKVatWZV1Oxbnf6uZ+F4dSqRRXrlyJtWvXxrJlS2/W42Lt+Yv196VS3G91c7+Lx432/OSm0CxbtmzRj0KtWrVq0f1CVJL7rW7uN3sNDQ1Zl5CZxd7zF+PvSyW53+rmfheHG+n5S284BwAAEibAAwBAQgT4eVRfXx/79++P+vr6rEtZEO63urlfKG+p/b643+rmftOT3EOsAACwlBmBBwCAhAjwAACQEAEeAAASIsADAEBCBHgAAEiIAD9PCoVCbNiwIZYvXx5btmyJkydPZl1SxfT398fOnTtj7dq1UVNTE8ePH8+6pIo5cOBAbN68OVauXBl33HFH3H///fHmm29mXVbF/N3f/V3cc88902+n27p1a3z/+9/PuqwF8+STT0ZNTU089thjWZfCIqbfVy89f+n0/NT7vQA/D44ePRr5fD72798fZ86cidbW1tixY0dcvHgx69IqolgsRmtraxQKhaxLqbjXXnstcrlcvP766/Hqq6/GBx98EH/5l38ZxWIx69IqYt26dfHkk0/GwMBAnD59Oj772c/G5z//+fjv//7vrEuruFOnTsW3v/3tuOeee7IuhUVMv69uev7S6PlV0e9LzFlHR0cpl8tNb09OTpbWrl1bOnDgQIZVLYyIKB07dizrMhbMxYsXSxFReu2117IuZcHcdtttpX/4h3/IuoyKunLlSulP//RPS6+++mrpL/7iL0qPPvpo1iWxSOn3x7IuY0Hp+dWnWvq9Efg5unr1agwMDERnZ+f0vmXLlkVnZ2ecOHEiw8qohNHR0YiIWL16dcaVVN7k5GS88MILUSwWY+vWrVmXU1G5XC7uu+++GX+O4ffp90uPnl99qqXf35J1Aam7dOlSTE5ORlNT04z9TU1Nce7cuYyqohKmpqbiscceiz/7sz+LjRs3Zl1OxbzxxhuxdevW+M1vfhN//Md/HMeOHYuWlpasy6qYF154Ic6cOROnTp3KuhQWOf1+adHzq0819XsBHm5QLpeLn/70p/Gf//mfWZdSUXfddVcMDg7G6OhofPe7343u7u547bXXqrKhDw0NxaOPPhqvvvpqLF++POtygEVEz6+unl9t/V6An6PGxsaora2NkZGRGftHRkZizZo1GVXFfOvt7Y1//dd/jf7+/li3bl3W5VRUXV1dfOITn4iIiE2bNsWpU6fib//2b+Pb3/52xpXNv4GBgbh48WJ86lOfmt43OTkZ/f398eyzz8bExETU1tZmWCGLiX6/dOj51dfzq63fmwM/R3V1dbFp06bo6+ub3jc1NRV9fX1VPYdsqSiVStHb2xvHjh2L//iP/4g/+ZM/ybqkBTc1NRUTExNZl1ERn/vc5+KNN96IwcHB6U97e3t86UtfisHBwaSaOZWn31c/Pb96e3619Xsj8PMgn89Hd3d3tLe3R0dHRxw8eDCKxWL09PRkXVpFjI+Px/nz56e3L1y4EIODg7F69epYv359hpXNv1wuF88//3y8+OKLsXLlyhgeHo6IiIaGhvijP/qjjKubf3v37o2urq5Yv359XLlyJZ5//vn44Q9/GP/2b/+WdWkVsXLlymvmtn7kIx+J22+/varnvHLz9Pvq7fcRen419/yq6/dZL4NTLb71rW+V1q9fX6qrqyt1dHSUXn/99axLqpgf/OAHpYi45tPd3Z11afPuw+4zIkr/+I//mHVpFfGVr3yl9PGPf7xUV1dX+uhHP1r63Oc+V3rllVeyLmtBpbysGAtDv6/Ofl8q6flLreen3O9rSqVSaSH/wQAAANw8c+ABACAhAjwAACREgAcAgIQI8AAAkBABHgAAEiLAAwBAQgR4AABIiAAPAAAJEeABACAhAjwAACREgAcAgIT8L8ZR4nE5mkZfAAAAAElFTkSuQmCC", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axs = plt.subplots(1, 2, figsize=(9, 3))\n", "axs[0].bar(range(5),np.unique(np.argmax(bst_FS.predict(unlabeled_dm),1),return_counts=True)[1])\n", "axs[0].set_yscale(\"log\", base=10)\n", "axs[1].bar(range(5),np.unique(dataset.y_train,return_counts=True)[1])\n", "axs[1].set_yscale(\"log\", base=10)" ] }, { "cell_type": "code", "execution_count": 45, "id": "d1e3f7cb-e732-46f3-9d18-93eec0f3b90e", "metadata": {}, "outputs": [], "source": [ "with open('../src/best_params.pkl','rb') as f:\n", " params_final,feat_imp,best_model = pickle.load(f)" ] }, { "cell_type": "code", "execution_count": 53, "id": "40d9658f-60c0-4c6a-b348-8bd1a307c1f4", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "xgboost.core.Booster" ] }, "execution_count": 53, "metadata": {}, "output_type": "execute_result" } ], "source": [ "xgb.Booster" ] }, { "cell_type": "code", "execution_count": 48, "id": "2fe4e627-d4c9-484e-8912-7a12b0138dea", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 48, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "feat_imp.plot(kind='bar')" ] }, { "cell_type": "code", "execution_count": 51, "id": "2b89c4cc-92c6-416e-bb6e-2de31cf310a7", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 51, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.plot(tot.FS,tot.mcc,'o-', label='MCC')\n", "plt.plot(tot.FS,tot.acc,'o-', label='Accuracy')\n", "plt.legend()" ] }, { "cell_type": "code", "execution_count": null, "id": "27b66569-1e5b-4b76-ad38-8122253cef2a", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.0" } }, "nbformat": 4, "nbformat_minor": 5 }