3630 lines
677 KiB
Plaintext
3630 lines
677 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Self made RP3-beta"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"import helpers\n",
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"import pandas as pd\n",
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"import numpy as np\n",
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"import scipy.sparse as sparse\n",
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"from collections import defaultdict\n",
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"from itertools import chain\n",
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"import random\n",
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"import time\n",
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"import matplotlib.pyplot as plt\n",
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"\n",
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"train_read=pd.read_csv('./Datasets/ml-100k/train.csv', sep='\\t', header=None)\n",
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"test_read=pd.read_csv('./Datasets/ml-100k/test.csv', sep='\\t', header=None)\n",
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"train_ui, test_ui, user_code_id, user_id_code, item_code_id, item_id_code = helpers.data_to_csr(train_read, test_read)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"class RP3Beta():\n",
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" def fit(self, train_ui, alpha, beta):\n",
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" \"\"\"We weight our edges by user's explicit ratings so if user rated movie high we'll follow that path\n",
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" with higher probability.\"\"\"\n",
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" self.train_ui=train_ui\n",
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" self.train_iu=train_ui.transpose()\n",
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" \n",
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" self.alpha = alpha\n",
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" self.beta = beta\n",
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" \n",
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" # Define Pui \n",
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" Pui=sparse.csr_matrix(self.train_ui/self.train_ui.sum(axis=1))\n",
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" \n",
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" # Define Piu\n",
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" to_divide=np.vectorize(lambda x: x if x>0 else 1)(self.train_iu.sum(axis=1)) # to avoid dividing by zero\n",
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" Piu=sparse.csr_matrix(self.train_iu/to_divide)\n",
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" item_orders=(self.train_ui>0).sum(axis=0)\n",
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" \n",
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" Pui = Pui.power(self.alpha)\n",
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" Piu = Piu.power(self.alpha)\n",
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"\n",
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" P3=Pui*Piu*Pui\n",
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" \n",
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" P3/=np.power(np.vectorize(lambda x: x if x>0 else 1)(item_orders), self.beta)\n",
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" \n",
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" self.estimations=np.array(P3)\n",
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" \n",
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" def recommend(self, user_code_id, item_code_id, topK=10):\n",
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" \n",
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" top_k = defaultdict(list)\n",
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" for nb_user, user in enumerate(self.estimations):\n",
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" \n",
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" user_rated=self.train_ui.indices[self.train_ui.indptr[nb_user]:self.train_ui.indptr[nb_user+1]]\n",
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" for item, score in enumerate(user):\n",
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" if item not in user_rated and not np.isnan(score):\n",
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" top_k[user_code_id[nb_user]].append((item_code_id[item], score))\n",
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" result=[]\n",
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" # Let's choose k best items in the format: (user, item1, score1, item2, score2, ...)\n",
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" for uid, item_scores in top_k.items():\n",
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" item_scores.sort(key=lambda x: x[1], reverse=True)\n",
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" result.append([uid]+list(chain(*item_scores[:topK])))\n",
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" return result\n",
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" \n",
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" def estimate(self, user_code_id, item_code_id, test_ui):\n",
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" result=[]\n",
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" for user, item in zip(*test_ui.nonzero()):\n",
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" result.append([user_code_id[user], item_code_id[item], \n",
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" self.estimations[user,item] if not np.isnan(self.estimations[user,item]) else 1])\n",
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" return result"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"model=RP3Beta()\n",
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"model.fit(train_ui, alpha=1, beta=0)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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"top_n=pd.DataFrame(model.recommend(user_code_id, item_code_id, topK=10))\n",
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"\n",
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"top_n.to_csv('Recommendations generated/ml-100k/Self_P3_reco.csv', index=False, header=False)\n",
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"\n",
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"estimations=pd.DataFrame(model.estimate(user_code_id, item_code_id, test_ui))\n",
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"estimations.to_csv('Recommendations generated/ml-100k/Self_P3_estimations.csv', index=False, header=False)"
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]
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},
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{
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||
"cell_type": "code",
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||
"execution_count": 6,
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||
"metadata": {},
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||
"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"943it [00:00, 11083.98it/s]\n"
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]
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},
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
|
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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||
" <th>RMSE</th>\n",
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" <th>MAE</th>\n",
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||
" <th>precision</th>\n",
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||
" <th>recall</th>\n",
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||
" <th>F_1</th>\n",
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||
" <th>F_05</th>\n",
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||
" <th>precision_super</th>\n",
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" <th>recall_super</th>\n",
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||
" <th>NDCG</th>\n",
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||
" <th>mAP</th>\n",
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||
" <th>MRR</th>\n",
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||
" <th>LAUC</th>\n",
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||
" <th>HR</th>\n",
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||
" <th>F_2</th>\n",
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" <th>Whole_average</th>\n",
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" <th>Reco in test</th>\n",
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" <th>Test coverage</th>\n",
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" <th>Shannon</th>\n",
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" <th>Gini</th>\n",
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||
" </tr>\n",
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||
" </thead>\n",
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||
" <tbody>\n",
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||
" <tr>\n",
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||
" <th>0</th>\n",
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||
" <td>3.702446</td>\n",
|
||
" <td>3.527273</td>\n",
|
||
" <td>0.282185</td>\n",
|
||
" <td>0.192092</td>\n",
|
||
" <td>0.186749</td>\n",
|
||
" <td>0.21698</td>\n",
|
||
" <td>0.204185</td>\n",
|
||
" <td>0.240096</td>\n",
|
||
" <td>0.339114</td>\n",
|
||
" <td>0.204905</td>\n",
|
||
" <td>0.572157</td>\n",
|
||
" <td>0.593544</td>\n",
|
||
" <td>0.875928</td>\n",
|
||
" <td>0.181702</td>\n",
|
||
" <td>0.340803</td>\n",
|
||
" <td>1.0</td>\n",
|
||
" <td>0.077201</td>\n",
|
||
" <td>3.875892</td>\n",
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||
" <td>0.974947</td>\n",
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||
" </tr>\n",
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||
" </tbody>\n",
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||
"</table>\n",
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||
"</div>"
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],
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"text/plain": [
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" RMSE MAE precision recall F_1 F_05 \\\n",
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"0 3.702446 3.527273 0.282185 0.192092 0.186749 0.21698 \n",
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"\n",
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||
" precision_super recall_super NDCG mAP MRR LAUC \\\n",
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"0 0.204185 0.240096 0.339114 0.204905 0.572157 0.593544 \n",
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"\n",
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||
" HR F_2 Whole_average Reco in test Test coverage Shannon \\\n",
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"0 0.875928 0.181702 0.340803 1.0 0.077201 3.875892 \n",
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"\n",
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||
" Gini \n",
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||
"0 0.974947 "
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||
]
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||
},
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||
"execution_count": 6,
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||
"metadata": {},
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||
"output_type": "execute_result"
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||
}
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||
],
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||
"source": [
|
||
"import evaluation_measures as ev\n",
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||
"estimations_df=pd.read_csv('Recommendations generated/ml-100k/Self_P3_estimations.csv', header=None)\n",
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||
"reco=np.loadtxt('Recommendations generated/ml-100k/Self_P3_reco.csv', delimiter=',')\n",
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"\n",
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"ev.evaluate(test=pd.read_csv('./Datasets/ml-100k/test.csv', sep='\\t', header=None),\n",
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||
" estimations_df=estimations_df, \n",
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||
" reco=reco,\n",
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||
" super_reactions=[4,5])"
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||
]
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||
},
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||
{
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||
"cell_type": "markdown",
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||
"metadata": {},
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||
"source": [
|
||
"# Let's check hiperparameters"
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||
]
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||
},
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||
{
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||
"cell_type": "markdown",
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||
"metadata": {},
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||
"source": [
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||
"##### Alpha"
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||
]
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||
},
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||
{
|
||
"cell_type": "code",
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||
"execution_count": 7,
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||
"metadata": {},
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||
"outputs": [
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||
{
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||
"name": "stderr",
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"output_type": "stream",
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"text": [
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" 0%| | 0/8 [00:00<?, ?it/s]\n",
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"943it [00:00, 10829.24it/s]\n",
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" 12%|██████████▌ | 1/8 [00:07<00:54, 7.76s/it]\n",
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"943it [00:00, 10352.86it/s]\n",
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" 25%|█████████████████████ | 2/8 [00:15<00:46, 7.74s/it]\n",
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"943it [00:00, 10130.29it/s]\n",
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" 38%|███████████████████████████████▌ | 3/8 [00:23<00:38, 7.75s/it]\n",
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"943it [00:00, 10130.62it/s]\n",
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" 50%|██████████████████████████████████████████ | 4/8 [00:30<00:30, 7.74s/it]\n",
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"943it [00:00, 10240.79it/s]\n",
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" 62%|████████████████████████████████████████████████████▌ | 5/8 [00:38<00:23, 7.79s/it]\n",
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"943it [00:00, 10585.44it/s]\n",
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" 75%|███████████████████████████████████████████████████████████████ | 6/8 [00:46<00:15, 7.87s/it]\n",
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"943it [00:00, 9990.63it/s]\n",
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" 88%|█████████████████████████████████████████████████████████████████████████▌ | 7/8 [00:55<00:07, 7.99s/it]\n",
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"943it [00:00, 10706.30it/s]\n",
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"100%|████████████████████████████████████████████████████████████████████████████████████| 8/8 [01:03<00:00, 7.92s/it]\n"
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]
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},
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{
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"data": {
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"text/html": [
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"<div>\n",
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||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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||
" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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||
" text-align: right;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>Alpha</th>\n",
|
||
" <th>RMSE</th>\n",
|
||
" <th>MAE</th>\n",
|
||
" <th>precision</th>\n",
|
||
" <th>recall</th>\n",
|
||
" <th>F_1</th>\n",
|
||
" <th>F_05</th>\n",
|
||
" <th>precision_super</th>\n",
|
||
" <th>recall_super</th>\n",
|
||
" <th>NDCG</th>\n",
|
||
" <th>mAP</th>\n",
|
||
" <th>MRR</th>\n",
|
||
" <th>LAUC</th>\n",
|
||
" <th>HR</th>\n",
|
||
" <th>F_2</th>\n",
|
||
" <th>Whole_average</th>\n",
|
||
" <th>Reco in test</th>\n",
|
||
" <th>Test coverage</th>\n",
|
||
" <th>Shannon</th>\n",
|
||
" <th>Gini</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0.2</td>\n",
|
||
" <td>268.177832</td>\n",
|
||
" <td>211.732649</td>\n",
|
||
" <td>0.262672</td>\n",
|
||
" <td>0.166858</td>\n",
|
||
" <td>0.166277</td>\n",
|
||
" <td>0.197184</td>\n",
|
||
" <td>0.187661</td>\n",
|
||
" <td>0.203252</td>\n",
|
||
" <td>0.320910</td>\n",
|
||
" <td>0.196132</td>\n",
|
||
" <td>0.563378</td>\n",
|
||
" <td>0.580866</td>\n",
|
||
" <td>0.850477</td>\n",
|
||
" <td>0.159293</td>\n",
|
||
" <td>0.321247</td>\n",
|
||
" <td>1.000000</td>\n",
|
||
" <td>0.060606</td>\n",
|
||
" <td>3.669627</td>\n",
|
||
" <td>0.979636</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0.4</td>\n",
|
||
" <td>10.546689</td>\n",
|
||
" <td>7.792373</td>\n",
|
||
" <td>0.268505</td>\n",
|
||
" <td>0.172669</td>\n",
|
||
" <td>0.171569</td>\n",
|
||
" <td>0.202643</td>\n",
|
||
" <td>0.192489</td>\n",
|
||
" <td>0.212653</td>\n",
|
||
" <td>0.326760</td>\n",
|
||
" <td>0.200172</td>\n",
|
||
" <td>0.565148</td>\n",
|
||
" <td>0.583801</td>\n",
|
||
" <td>0.854719</td>\n",
|
||
" <td>0.164747</td>\n",
|
||
" <td>0.326323</td>\n",
|
||
" <td>1.000000</td>\n",
|
||
" <td>0.064214</td>\n",
|
||
" <td>3.726996</td>\n",
|
||
" <td>0.978426</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0.6</td>\n",
|
||
" <td>3.143988</td>\n",
|
||
" <td>2.948790</td>\n",
|
||
" <td>0.274655</td>\n",
|
||
" <td>0.180502</td>\n",
|
||
" <td>0.177820</td>\n",
|
||
" <td>0.208730</td>\n",
|
||
" <td>0.198176</td>\n",
|
||
" <td>0.222746</td>\n",
|
||
" <td>0.332872</td>\n",
|
||
" <td>0.203290</td>\n",
|
||
" <td>0.568872</td>\n",
|
||
" <td>0.587738</td>\n",
|
||
" <td>0.870626</td>\n",
|
||
" <td>0.171652</td>\n",
|
||
" <td>0.333140</td>\n",
|
||
" <td>1.000000</td>\n",
|
||
" <td>0.065657</td>\n",
|
||
" <td>3.785282</td>\n",
|
||
" <td>0.977090</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0.8</td>\n",
|
||
" <td>3.670728</td>\n",
|
||
" <td>3.495735</td>\n",
|
||
" <td>0.281972</td>\n",
|
||
" <td>0.189868</td>\n",
|
||
" <td>0.185300</td>\n",
|
||
" <td>0.216071</td>\n",
|
||
" <td>0.203541</td>\n",
|
||
" <td>0.236751</td>\n",
|
||
" <td>0.339867</td>\n",
|
||
" <td>0.206688</td>\n",
|
||
" <td>0.573729</td>\n",
|
||
" <td>0.592432</td>\n",
|
||
" <td>0.874867</td>\n",
|
||
" <td>0.179823</td>\n",
|
||
" <td>0.340076</td>\n",
|
||
" <td>1.000000</td>\n",
|
||
" <td>0.070707</td>\n",
|
||
" <td>3.832415</td>\n",
|
||
" <td>0.975998</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>1.0</td>\n",
|
||
" <td>3.702446</td>\n",
|
||
" <td>3.527273</td>\n",
|
||
" <td>0.282185</td>\n",
|
||
" <td>0.192092</td>\n",
|
||
" <td>0.186749</td>\n",
|
||
" <td>0.216980</td>\n",
|
||
" <td>0.204185</td>\n",
|
||
" <td>0.240096</td>\n",
|
||
" <td>0.339114</td>\n",
|
||
" <td>0.204905</td>\n",
|
||
" <td>0.572157</td>\n",
|
||
" <td>0.593544</td>\n",
|
||
" <td>0.875928</td>\n",
|
||
" <td>0.181702</td>\n",
|
||
" <td>0.340803</td>\n",
|
||
" <td>1.000000</td>\n",
|
||
" <td>0.077201</td>\n",
|
||
" <td>3.875892</td>\n",
|
||
" <td>0.974947</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>1.2</td>\n",
|
||
" <td>3.704441</td>\n",
|
||
" <td>3.529251</td>\n",
|
||
" <td>0.280912</td>\n",
|
||
" <td>0.193633</td>\n",
|
||
" <td>0.187311</td>\n",
|
||
" <td>0.216872</td>\n",
|
||
" <td>0.203004</td>\n",
|
||
" <td>0.240588</td>\n",
|
||
" <td>0.338049</td>\n",
|
||
" <td>0.203453</td>\n",
|
||
" <td>0.571830</td>\n",
|
||
" <td>0.594313</td>\n",
|
||
" <td>0.883351</td>\n",
|
||
" <td>0.182776</td>\n",
|
||
" <td>0.341341</td>\n",
|
||
" <td>1.000000</td>\n",
|
||
" <td>0.085859</td>\n",
|
||
" <td>3.910718</td>\n",
|
||
" <td>0.974073</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>1.4</td>\n",
|
||
" <td>3.704580</td>\n",
|
||
" <td>3.529388</td>\n",
|
||
" <td>0.273595</td>\n",
|
||
" <td>0.190651</td>\n",
|
||
" <td>0.183874</td>\n",
|
||
" <td>0.212183</td>\n",
|
||
" <td>0.199464</td>\n",
|
||
" <td>0.239118</td>\n",
|
||
" <td>0.329550</td>\n",
|
||
" <td>0.195433</td>\n",
|
||
" <td>0.566171</td>\n",
|
||
" <td>0.592793</td>\n",
|
||
" <td>0.871686</td>\n",
|
||
" <td>0.179766</td>\n",
|
||
" <td>0.336190</td>\n",
|
||
" <td>1.000000</td>\n",
|
||
" <td>0.107504</td>\n",
|
||
" <td>3.961915</td>\n",
|
||
" <td>0.972674</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>1.6</td>\n",
|
||
" <td>3.704591</td>\n",
|
||
" <td>3.529399</td>\n",
|
||
" <td>0.263097</td>\n",
|
||
" <td>0.186255</td>\n",
|
||
" <td>0.178709</td>\n",
|
||
" <td>0.205170</td>\n",
|
||
" <td>0.191094</td>\n",
|
||
" <td>0.232920</td>\n",
|
||
" <td>0.317439</td>\n",
|
||
" <td>0.184917</td>\n",
|
||
" <td>0.552349</td>\n",
|
||
" <td>0.590545</td>\n",
|
||
" <td>0.868505</td>\n",
|
||
" <td>0.175419</td>\n",
|
||
" <td>0.328868</td>\n",
|
||
" <td>0.999576</td>\n",
|
||
" <td>0.156566</td>\n",
|
||
" <td>4.060156</td>\n",
|
||
" <td>0.969203</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Alpha RMSE MAE precision recall F_1 F_05 \\\n",
|
||
"0 0.2 268.177832 211.732649 0.262672 0.166858 0.166277 0.197184 \n",
|
||
"0 0.4 10.546689 7.792373 0.268505 0.172669 0.171569 0.202643 \n",
|
||
"0 0.6 3.143988 2.948790 0.274655 0.180502 0.177820 0.208730 \n",
|
||
"0 0.8 3.670728 3.495735 0.281972 0.189868 0.185300 0.216071 \n",
|
||
"0 1.0 3.702446 3.527273 0.282185 0.192092 0.186749 0.216980 \n",
|
||
"0 1.2 3.704441 3.529251 0.280912 0.193633 0.187311 0.216872 \n",
|
||
"0 1.4 3.704580 3.529388 0.273595 0.190651 0.183874 0.212183 \n",
|
||
"0 1.6 3.704591 3.529399 0.263097 0.186255 0.178709 0.205170 \n",
|
||
"\n",
|
||
" precision_super recall_super NDCG mAP MRR LAUC \\\n",
|
||
"0 0.187661 0.203252 0.320910 0.196132 0.563378 0.580866 \n",
|
||
"0 0.192489 0.212653 0.326760 0.200172 0.565148 0.583801 \n",
|
||
"0 0.198176 0.222746 0.332872 0.203290 0.568872 0.587738 \n",
|
||
"0 0.203541 0.236751 0.339867 0.206688 0.573729 0.592432 \n",
|
||
"0 0.204185 0.240096 0.339114 0.204905 0.572157 0.593544 \n",
|
||
"0 0.203004 0.240588 0.338049 0.203453 0.571830 0.594313 \n",
|
||
"0 0.199464 0.239118 0.329550 0.195433 0.566171 0.592793 \n",
|
||
"0 0.191094 0.232920 0.317439 0.184917 0.552349 0.590545 \n",
|
||
"\n",
|
||
" HR F_2 Whole_average Reco in test Test coverage Shannon \\\n",
|
||
"0 0.850477 0.159293 0.321247 1.000000 0.060606 3.669627 \n",
|
||
"0 0.854719 0.164747 0.326323 1.000000 0.064214 3.726996 \n",
|
||
"0 0.870626 0.171652 0.333140 1.000000 0.065657 3.785282 \n",
|
||
"0 0.874867 0.179823 0.340076 1.000000 0.070707 3.832415 \n",
|
||
"0 0.875928 0.181702 0.340803 1.000000 0.077201 3.875892 \n",
|
||
"0 0.883351 0.182776 0.341341 1.000000 0.085859 3.910718 \n",
|
||
"0 0.871686 0.179766 0.336190 1.000000 0.107504 3.961915 \n",
|
||
"0 0.868505 0.175419 0.328868 0.999576 0.156566 4.060156 \n",
|
||
"\n",
|
||
" Gini \n",
|
||
"0 0.979636 \n",
|
||
"0 0.978426 \n",
|
||
"0 0.977090 \n",
|
||
"0 0.975998 \n",
|
||
"0 0.974947 \n",
|
||
"0 0.974073 \n",
|
||
"0 0.972674 \n",
|
||
"0 0.969203 "
|
||
]
|
||
},
|
||
"execution_count": 7,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"from tqdm import tqdm\n",
|
||
"result=[]\n",
|
||
"for alpha in tqdm([round(i,1) for i in np.arange(0.2,1.6001,0.2)]):\n",
|
||
" model=RP3Beta()\n",
|
||
" model.fit(train_ui, alpha=alpha, beta=0)\n",
|
||
" reco=pd.DataFrame(model.recommend(user_code_id, item_code_id, topK=10))\n",
|
||
" estimations_df=pd.DataFrame(model.estimate(user_code_id, item_code_id, test_ui))\n",
|
||
" to_append=ev.evaluate(test=pd.read_csv('./Datasets/ml-100k/test.csv', sep='\\t', header=None),\n",
|
||
" estimations_df=estimations_df, \n",
|
||
" reco=np.array(reco),\n",
|
||
" super_reactions=[4,5])\n",
|
||
" to_append.insert(0, \"Alpha\", alpha)\n",
|
||
" result.append(to_append)\n",
|
||
" \n",
|
||
"result=pd.concat(result)\n",
|
||
"result"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 9,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"ename": "IndexError",
|
||
"evalue": "list index out of range",
|
||
"output_type": "error",
|
||
"traceback": [
|
||
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
|
||
"\u001b[1;31mIndexError\u001b[0m Traceback (most recent call last)",
|
||
"\u001b[1;32m<ipython-input-9-e01206177978>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m 10\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmetrics\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 11\u001b[0m \u001b[0mdf\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mresult\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'Alpha'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmetrics\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 12\u001b[1;33m \u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0max\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0maxes\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mto_iter\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtitle\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmetrics\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mx\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
|
||
"\u001b[1;31mIndexError\u001b[0m: list index out of range"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 1296x3024 with 18 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"metrics=list(result.columns[[i not in ['Alpha'] for i in result.columns]])\n",
|
||
"\n",
|
||
"charts_per_row=6\n",
|
||
"charts_per_column=3\n",
|
||
"\n",
|
||
"fig, axes = plt.subplots(nrows=charts_per_row, ncols=charts_per_column,figsize=(18, 7*charts_per_row ))\n",
|
||
"import itertools\n",
|
||
"to_iter=[i for i in itertools.product(range(charts_per_row), range(charts_per_column))]\n",
|
||
"\n",
|
||
"for i in range(len(metrics)):\n",
|
||
" df=result[['Alpha', metrics[i]]]\n",
|
||
" df.plot(ax=axes[to_iter[i]], title=metrics[i], x=0, y=1)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"##### Beta"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 19,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"\n",
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||
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|
||
},
|
||
{
|
||
"data": {
|
||
"text/html": [
|
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"<style scoped>\n",
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|
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" }\n",
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"</style>\n",
|
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"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>Beta</th>\n",
|
||
" <th>RMSE</th>\n",
|
||
" <th>MAE</th>\n",
|
||
" <th>precision</th>\n",
|
||
" <th>recall</th>\n",
|
||
" <th>F_1</th>\n",
|
||
" <th>F_05</th>\n",
|
||
" <th>precision_super</th>\n",
|
||
" <th>recall_super</th>\n",
|
||
" <th>NDCG</th>\n",
|
||
" <th>mAP</th>\n",
|
||
" <th>MRR</th>\n",
|
||
" <th>LAUC</th>\n",
|
||
" <th>HR</th>\n",
|
||
" <th>F_2</th>\n",
|
||
" <th>Whole_average</th>\n",
|
||
" <th>Reco in test</th>\n",
|
||
" <th>Test coverage</th>\n",
|
||
" <th>Shannon</th>\n",
|
||
" <th>Gini</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>3.702446</td>\n",
|
||
" <td>3.527273</td>\n",
|
||
" <td>0.282185</td>\n",
|
||
" <td>0.192092</td>\n",
|
||
" <td>0.186749</td>\n",
|
||
" <td>0.216980</td>\n",
|
||
" <td>0.204185</td>\n",
|
||
" <td>0.240096</td>\n",
|
||
" <td>0.339114</td>\n",
|
||
" <td>0.204905</td>\n",
|
||
" <td>0.572157</td>\n",
|
||
" <td>0.593544</td>\n",
|
||
" <td>0.875928</td>\n",
|
||
" <td>0.181702</td>\n",
|
||
" <td>0.340803</td>\n",
|
||
" <td>1.000000</td>\n",
|
||
" <td>0.077201</td>\n",
|
||
" <td>3.875892</td>\n",
|
||
" <td>0.974947</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0.1</td>\n",
|
||
" <td>3.703312</td>\n",
|
||
" <td>3.528128</td>\n",
|
||
" <td>0.290138</td>\n",
|
||
" <td>0.197597</td>\n",
|
||
" <td>0.192259</td>\n",
|
||
" <td>0.223336</td>\n",
|
||
" <td>0.210944</td>\n",
|
||
" <td>0.246153</td>\n",
|
||
" <td>0.347768</td>\n",
|
||
" <td>0.212034</td>\n",
|
||
" <td>0.581038</td>\n",
|
||
" <td>0.596328</td>\n",
|
||
" <td>0.884411</td>\n",
|
||
" <td>0.187030</td>\n",
|
||
" <td>0.347420</td>\n",
|
||
" <td>1.000000</td>\n",
|
||
" <td>0.085137</td>\n",
|
||
" <td>3.957416</td>\n",
|
||
" <td>0.972784</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0.2</td>\n",
|
||
" <td>3.703825</td>\n",
|
||
" <td>3.528636</td>\n",
|
||
" <td>0.297137</td>\n",
|
||
" <td>0.201202</td>\n",
|
||
" <td>0.196067</td>\n",
|
||
" <td>0.228169</td>\n",
|
||
" <td>0.218026</td>\n",
|
||
" <td>0.252767</td>\n",
|
||
" <td>0.355655</td>\n",
|
||
" <td>0.219909</td>\n",
|
||
" <td>0.588904</td>\n",
|
||
" <td>0.598160</td>\n",
|
||
" <td>0.886532</td>\n",
|
||
" <td>0.190538</td>\n",
|
||
" <td>0.352756</td>\n",
|
||
" <td>1.000000</td>\n",
|
||
" <td>0.094517</td>\n",
|
||
" <td>4.053212</td>\n",
|
||
" <td>0.969980</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0.3</td>\n",
|
||
" <td>3.704130</td>\n",
|
||
" <td>3.528939</td>\n",
|
||
" <td>0.303499</td>\n",
|
||
" <td>0.204749</td>\n",
|
||
" <td>0.199901</td>\n",
|
||
" <td>0.232829</td>\n",
|
||
" <td>0.225107</td>\n",
|
||
" <td>0.260797</td>\n",
|
||
" <td>0.363757</td>\n",
|
||
" <td>0.226825</td>\n",
|
||
" <td>0.599969</td>\n",
|
||
" <td>0.599964</td>\n",
|
||
" <td>0.888653</td>\n",
|
||
" <td>0.194073</td>\n",
|
||
" <td>0.358344</td>\n",
|
||
" <td>1.000000</td>\n",
|
||
" <td>0.105339</td>\n",
|
||
" <td>4.147779</td>\n",
|
||
" <td>0.966948</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0.4</td>\n",
|
||
" <td>3.704313</td>\n",
|
||
" <td>3.529120</td>\n",
|
||
" <td>0.308908</td>\n",
|
||
" <td>0.208811</td>\n",
|
||
" <td>0.203854</td>\n",
|
||
" <td>0.237241</td>\n",
|
||
" <td>0.229614</td>\n",
|
||
" <td>0.266918</td>\n",
|
||
" <td>0.370758</td>\n",
|
||
" <td>0.232673</td>\n",
|
||
" <td>0.609385</td>\n",
|
||
" <td>0.602014</td>\n",
|
||
" <td>0.895016</td>\n",
|
||
" <td>0.197981</td>\n",
|
||
" <td>0.363598</td>\n",
|
||
" <td>0.999894</td>\n",
|
||
" <td>0.132035</td>\n",
|
||
" <td>4.259682</td>\n",
|
||
" <td>0.962989</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0.5</td>\n",
|
||
" <td>3.704422</td>\n",
|
||
" <td>3.529229</td>\n",
|
||
" <td>0.314316</td>\n",
|
||
" <td>0.211411</td>\n",
|
||
" <td>0.206768</td>\n",
|
||
" <td>0.240986</td>\n",
|
||
" <td>0.237124</td>\n",
|
||
" <td>0.273416</td>\n",
|
||
" <td>0.378307</td>\n",
|
||
" <td>0.239297</td>\n",
|
||
" <td>0.622792</td>\n",
|
||
" <td>0.603327</td>\n",
|
||
" <td>0.903499</td>\n",
|
||
" <td>0.200572</td>\n",
|
||
" <td>0.369318</td>\n",
|
||
" <td>0.999046</td>\n",
|
||
" <td>0.168831</td>\n",
|
||
" <td>4.411281</td>\n",
|
||
" <td>0.956648</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0.6</td>\n",
|
||
" <td>3.704488</td>\n",
|
||
" <td>3.529295</td>\n",
|
||
" <td>0.314634</td>\n",
|
||
" <td>0.206209</td>\n",
|
||
" <td>0.204818</td>\n",
|
||
" <td>0.240159</td>\n",
|
||
" <td>0.242489</td>\n",
|
||
" <td>0.273850</td>\n",
|
||
" <td>0.376438</td>\n",
|
||
" <td>0.238428</td>\n",
|
||
" <td>0.622042</td>\n",
|
||
" <td>0.600721</td>\n",
|
||
" <td>0.897137</td>\n",
|
||
" <td>0.197320</td>\n",
|
||
" <td>0.367854</td>\n",
|
||
" <td>0.996394</td>\n",
|
||
" <td>0.212843</td>\n",
|
||
" <td>4.621938</td>\n",
|
||
" <td>0.945932</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0.7</td>\n",
|
||
" <td>3.704528</td>\n",
|
||
" <td>3.529335</td>\n",
|
||
" <td>0.304136</td>\n",
|
||
" <td>0.187298</td>\n",
|
||
" <td>0.191990</td>\n",
|
||
" <td>0.228749</td>\n",
|
||
" <td>0.238305</td>\n",
|
||
" <td>0.256201</td>\n",
|
||
" <td>0.358807</td>\n",
|
||
" <td>0.226808</td>\n",
|
||
" <td>0.593897</td>\n",
|
||
" <td>0.591207</td>\n",
|
||
" <td>0.868505</td>\n",
|
||
" <td>0.182056</td>\n",
|
||
" <td>0.352330</td>\n",
|
||
" <td>0.983033</td>\n",
|
||
" <td>0.256854</td>\n",
|
||
" <td>4.898568</td>\n",
|
||
" <td>0.928065</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0.8</td>\n",
|
||
" <td>3.704552</td>\n",
|
||
" <td>3.529360</td>\n",
|
||
" <td>0.266384</td>\n",
|
||
" <td>0.147571</td>\n",
|
||
" <td>0.158660</td>\n",
|
||
" <td>0.194838</td>\n",
|
||
" <td>0.214485</td>\n",
|
||
" <td>0.209336</td>\n",
|
||
" <td>0.299850</td>\n",
|
||
" <td>0.184356</td>\n",
|
||
" <td>0.492852</td>\n",
|
||
" <td>0.571152</td>\n",
|
||
" <td>0.803818</td>\n",
|
||
" <td>0.146414</td>\n",
|
||
" <td>0.307476</td>\n",
|
||
" <td>0.936373</td>\n",
|
||
" <td>0.341270</td>\n",
|
||
" <td>5.257397</td>\n",
|
||
" <td>0.895882</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0.9</td>\n",
|
||
" <td>3.704567</td>\n",
|
||
" <td>3.529375</td>\n",
|
||
" <td>0.162354</td>\n",
|
||
" <td>0.076967</td>\n",
|
||
" <td>0.089233</td>\n",
|
||
" <td>0.114583</td>\n",
|
||
" <td>0.134657</td>\n",
|
||
" <td>0.113253</td>\n",
|
||
" <td>0.160868</td>\n",
|
||
" <td>0.085486</td>\n",
|
||
" <td>0.243590</td>\n",
|
||
" <td>0.535405</td>\n",
|
||
" <td>0.580064</td>\n",
|
||
" <td>0.078906</td>\n",
|
||
" <td>0.197947</td>\n",
|
||
" <td>0.800106</td>\n",
|
||
" <td>0.415584</td>\n",
|
||
" <td>5.563910</td>\n",
|
||
" <td>0.857396</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Beta RMSE MAE precision recall F_1 F_05 \\\n",
|
||
"0 0.0 3.702446 3.527273 0.282185 0.192092 0.186749 0.216980 \n",
|
||
"0 0.1 3.703312 3.528128 0.290138 0.197597 0.192259 0.223336 \n",
|
||
"0 0.2 3.703825 3.528636 0.297137 0.201202 0.196067 0.228169 \n",
|
||
"0 0.3 3.704130 3.528939 0.303499 0.204749 0.199901 0.232829 \n",
|
||
"0 0.4 3.704313 3.529120 0.308908 0.208811 0.203854 0.237241 \n",
|
||
"0 0.5 3.704422 3.529229 0.314316 0.211411 0.206768 0.240986 \n",
|
||
"0 0.6 3.704488 3.529295 0.314634 0.206209 0.204818 0.240159 \n",
|
||
"0 0.7 3.704528 3.529335 0.304136 0.187298 0.191990 0.228749 \n",
|
||
"0 0.8 3.704552 3.529360 0.266384 0.147571 0.158660 0.194838 \n",
|
||
"0 0.9 3.704567 3.529375 0.162354 0.076967 0.089233 0.114583 \n",
|
||
"\n",
|
||
" precision_super recall_super NDCG mAP MRR LAUC \\\n",
|
||
"0 0.204185 0.240096 0.339114 0.204905 0.572157 0.593544 \n",
|
||
"0 0.210944 0.246153 0.347768 0.212034 0.581038 0.596328 \n",
|
||
"0 0.218026 0.252767 0.355655 0.219909 0.588904 0.598160 \n",
|
||
"0 0.225107 0.260797 0.363757 0.226825 0.599969 0.599964 \n",
|
||
"0 0.229614 0.266918 0.370758 0.232673 0.609385 0.602014 \n",
|
||
"0 0.237124 0.273416 0.378307 0.239297 0.622792 0.603327 \n",
|
||
"0 0.242489 0.273850 0.376438 0.238428 0.622042 0.600721 \n",
|
||
"0 0.238305 0.256201 0.358807 0.226808 0.593897 0.591207 \n",
|
||
"0 0.214485 0.209336 0.299850 0.184356 0.492852 0.571152 \n",
|
||
"0 0.134657 0.113253 0.160868 0.085486 0.243590 0.535405 \n",
|
||
"\n",
|
||
" HR F_2 Whole_average Reco in test Test coverage Shannon \\\n",
|
||
"0 0.875928 0.181702 0.340803 1.000000 0.077201 3.875892 \n",
|
||
"0 0.884411 0.187030 0.347420 1.000000 0.085137 3.957416 \n",
|
||
"0 0.886532 0.190538 0.352756 1.000000 0.094517 4.053212 \n",
|
||
"0 0.888653 0.194073 0.358344 1.000000 0.105339 4.147779 \n",
|
||
"0 0.895016 0.197981 0.363598 0.999894 0.132035 4.259682 \n",
|
||
"0 0.903499 0.200572 0.369318 0.999046 0.168831 4.411281 \n",
|
||
"0 0.897137 0.197320 0.367854 0.996394 0.212843 4.621938 \n",
|
||
"0 0.868505 0.182056 0.352330 0.983033 0.256854 4.898568 \n",
|
||
"0 0.803818 0.146414 0.307476 0.936373 0.341270 5.257397 \n",
|
||
"0 0.580064 0.078906 0.197947 0.800106 0.415584 5.563910 \n",
|
||
"\n",
|
||
" Gini \n",
|
||
"0 0.974947 \n",
|
||
"0 0.972784 \n",
|
||
"0 0.969980 \n",
|
||
"0 0.966948 \n",
|
||
"0 0.962989 \n",
|
||
"0 0.956648 \n",
|
||
"0 0.945932 \n",
|
||
"0 0.928065 \n",
|
||
"0 0.895882 \n",
|
||
"0 0.857396 "
|
||
]
|
||
},
|
||
"execution_count": 19,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"from tqdm import tqdm\n",
|
||
"result=[]\n",
|
||
"for beta in tqdm([round(i,1) for i in np.arange(0,1,0.1)]):\n",
|
||
" model=RP3Beta()\n",
|
||
" model.fit(train_ui, alpha=1, beta=beta)\n",
|
||
" reco=pd.DataFrame(model.recommend(user_code_id, item_code_id, topK=10))\n",
|
||
" estimations_df=pd.DataFrame(model.estimate(user_code_id, item_code_id, test_ui))\n",
|
||
" to_append=ev.evaluate(test=pd.read_csv('./Datasets/ml-100k/test.csv', sep='\\t', header=None),\n",
|
||
" estimations_df=estimations_df, \n",
|
||
" reco=np.array(reco),\n",
|
||
" super_reactions=[4,5])\n",
|
||
" to_append.insert(0, \"Beta\", beta)\n",
|
||
" result.append(to_append)\n",
|
||
" \n",
|
||
"result=pd.concat(result)\n",
|
||
"result"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 20,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"ename": "IndexError",
|
||
"evalue": "list index out of range",
|
||
"output_type": "error",
|
||
"traceback": [
|
||
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
|
||
"\u001b[1;31mIndexError\u001b[0m Traceback (most recent call last)",
|
||
"\u001b[1;32m<ipython-input-20-8f1dc184fb30>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m 12\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmetrics\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 13\u001b[0m \u001b[0mdf\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mresult\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'Beta'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmetrics\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 14\u001b[1;33m \u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0max\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0maxes\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mto_iter\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtitle\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmetrics\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mx\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
|
||
"\u001b[1;31mIndexError\u001b[0m: list index out of range"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 1296x3024 with 18 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"### import matplotlib.pyplot as plt\n",
|
||
"\n",
|
||
"metrics=list(result.columns[[i not in ['Beta'] for i in result.columns]])\n",
|
||
"\n",
|
||
"charts_per_row=6\n",
|
||
"charts_per_column=3\n",
|
||
"\n",
|
||
"fig, axes = plt.subplots(nrows=charts_per_row, ncols=charts_per_column,figsize=(18, 7*charts_per_row ))\n",
|
||
"import itertools\n",
|
||
"to_iter=[i for i in itertools.product(range(charts_per_row), range(charts_per_column))]\n",
|
||
"\n",
|
||
"for i in range(len(metrics)):\n",
|
||
" df=result[['Beta', metrics[i]]]\n",
|
||
" df.plot(ax=axes[to_iter[i]], title=metrics[i], x=0, y=1)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"# Check sample recommendations"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 21,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
" vertical-align: middle;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe tbody tr th {\n",
|
||
" vertical-align: top;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe thead th {\n",
|
||
" text-align: right;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>user</th>\n",
|
||
" <th>rating</th>\n",
|
||
" <th>title</th>\n",
|
||
" <th>genres</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>24400</th>\n",
|
||
" <td>162</td>\n",
|
||
" <td>5</td>\n",
|
||
" <td>People vs. Larry Flynt, The (1996)</td>\n",
|
||
" <td>Drama</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2968</th>\n",
|
||
" <td>162</td>\n",
|
||
" <td>5</td>\n",
|
||
" <td>Star Wars (1977)</td>\n",
|
||
" <td>Action, Adventure, Romance, Sci-Fi, War</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>53325</th>\n",
|
||
" <td>162</td>\n",
|
||
" <td>5</td>\n",
|
||
" <td>Multiplicity (1996)</td>\n",
|
||
" <td>Comedy</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>338</th>\n",
|
||
" <td>162</td>\n",
|
||
" <td>4</td>\n",
|
||
" <td>Toy Story (1995)</td>\n",
|
||
" <td>Animation, Children's, Comedy</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>75614</th>\n",
|
||
" <td>162</td>\n",
|
||
" <td>4</td>\n",
|
||
" <td>Things to Do in Denver when You're Dead (1995)</td>\n",
|
||
" <td>Crime, Drama, Romance</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>62014</th>\n",
|
||
" <td>162</td>\n",
|
||
" <td>4</td>\n",
|
||
" <td>Private Parts (1997)</td>\n",
|
||
" <td>Comedy, Drama</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>55054</th>\n",
|
||
" <td>162</td>\n",
|
||
" <td>4</td>\n",
|
||
" <td>Long Kiss Goodnight, The (1996)</td>\n",
|
||
" <td>Action, Thriller</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>44658</th>\n",
|
||
" <td>162</td>\n",
|
||
" <td>4</td>\n",
|
||
" <td>Ransom (1996)</td>\n",
|
||
" <td>Drama, Thriller</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>39354</th>\n",
|
||
" <td>162</td>\n",
|
||
" <td>4</td>\n",
|
||
" <td>Sleepers (1996)</td>\n",
|
||
" <td>Crime, Drama</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>31559</th>\n",
|
||
" <td>162</td>\n",
|
||
" <td>4</td>\n",
|
||
" <td>Seven (Se7en) (1995)</td>\n",
|
||
" <td>Crime, Thriller</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>30151</th>\n",
|
||
" <td>162</td>\n",
|
||
" <td>4</td>\n",
|
||
" <td>Star Trek: First Contact (1996)</td>\n",
|
||
" <td>Action, Adventure, Sci-Fi</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>28434</th>\n",
|
||
" <td>162</td>\n",
|
||
" <td>4</td>\n",
|
||
" <td>2 Days in the Valley (1996)</td>\n",
|
||
" <td>Crime</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>28048</th>\n",
|
||
" <td>162</td>\n",
|
||
" <td>4</td>\n",
|
||
" <td>Face/Off (1997)</td>\n",
|
||
" <td>Action, Sci-Fi, Thriller</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>76062</th>\n",
|
||
" <td>162</td>\n",
|
||
" <td>4</td>\n",
|
||
" <td>Killing Zoe (1994)</td>\n",
|
||
" <td>Thriller</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4876</th>\n",
|
||
" <td>162</td>\n",
|
||
" <td>4</td>\n",
|
||
" <td>Rock, The (1996)</td>\n",
|
||
" <td>Action, Adventure, Thriller</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" user rating title \\\n",
|
||
"24400 162 5 People vs. Larry Flynt, The (1996) \n",
|
||
"2968 162 5 Star Wars (1977) \n",
|
||
"53325 162 5 Multiplicity (1996) \n",
|
||
"338 162 4 Toy Story (1995) \n",
|
||
"75614 162 4 Things to Do in Denver when You're Dead (1995) \n",
|
||
"62014 162 4 Private Parts (1997) \n",
|
||
"55054 162 4 Long Kiss Goodnight, The (1996) \n",
|
||
"44658 162 4 Ransom (1996) \n",
|
||
"39354 162 4 Sleepers (1996) \n",
|
||
"31559 162 4 Seven (Se7en) (1995) \n",
|
||
"30151 162 4 Star Trek: First Contact (1996) \n",
|
||
"28434 162 4 2 Days in the Valley (1996) \n",
|
||
"28048 162 4 Face/Off (1997) \n",
|
||
"76062 162 4 Killing Zoe (1994) \n",
|
||
"4876 162 4 Rock, The (1996) \n",
|
||
"\n",
|
||
" genres \n",
|
||
"24400 Drama \n",
|
||
"2968 Action, Adventure, Romance, Sci-Fi, War \n",
|
||
"53325 Comedy \n",
|
||
"338 Animation, Children's, Comedy \n",
|
||
"75614 Crime, Drama, Romance \n",
|
||
"62014 Comedy, Drama \n",
|
||
"55054 Action, Thriller \n",
|
||
"44658 Drama, Thriller \n",
|
||
"39354 Crime, Drama \n",
|
||
"31559 Crime, Thriller \n",
|
||
"30151 Action, Adventure, Sci-Fi \n",
|
||
"28434 Crime \n",
|
||
"28048 Action, Sci-Fi, Thriller \n",
|
||
"76062 Thriller \n",
|
||
"4876 Action, Adventure, Thriller "
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
" vertical-align: middle;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe tbody tr th {\n",
|
||
" vertical-align: top;\n",
|
||
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|
||
"\n",
|
||
" .dataframe thead th {\n",
|
||
" text-align: right;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>user</th>\n",
|
||
" <th>rec_nb</th>\n",
|
||
" <th>title</th>\n",
|
||
" <th>genres</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>6985</th>\n",
|
||
" <td>162.0</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>Fargo (1996)</td>\n",
|
||
" <td>Crime, Drama, Thriller</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>5656</th>\n",
|
||
" <td>162.0</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>Contact (1997)</td>\n",
|
||
" <td>Drama, Sci-Fi</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2253</th>\n",
|
||
" <td>162.0</td>\n",
|
||
" <td>3</td>\n",
|
||
" <td>Godfather, The (1972)</td>\n",
|
||
" <td>Action, Crime, Drama</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>8472</th>\n",
|
||
" <td>162.0</td>\n",
|
||
" <td>4</td>\n",
|
||
" <td>Independence Day (ID4) (1996)</td>\n",
|
||
" <td>Action, Sci-Fi, War</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1727</th>\n",
|
||
" <td>162.0</td>\n",
|
||
" <td>5</td>\n",
|
||
" <td>Scream (1996)</td>\n",
|
||
" <td>Horror, Thriller</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4478</th>\n",
|
||
" <td>162.0</td>\n",
|
||
" <td>6</td>\n",
|
||
" <td>Air Force One (1997)</td>\n",
|
||
" <td>Action, Thriller</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>728</th>\n",
|
||
" <td>162.0</td>\n",
|
||
" <td>7</td>\n",
|
||
" <td>Silence of the Lambs, The (1991)</td>\n",
|
||
" <td>Drama, Thriller</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>9100</th>\n",
|
||
" <td>162.0</td>\n",
|
||
" <td>8</td>\n",
|
||
" <td>Mission: Impossible (1996)</td>\n",
|
||
" <td>Action, Adventure, Mystery</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>8822</th>\n",
|
||
" <td>162.0</td>\n",
|
||
" <td>9</td>\n",
|
||
" <td>Men in Black (1997)</td>\n",
|
||
" <td>Action, Adventure, Comedy, Sci-Fi</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>6382</th>\n",
|
||
" <td>162.0</td>\n",
|
||
" <td>10</td>\n",
|
||
" <td>Pulp Fiction (1994)</td>\n",
|
||
" <td>Crime, Drama</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" user rec_nb title \\\n",
|
||
"6985 162.0 1 Fargo (1996) \n",
|
||
"5656 162.0 2 Contact (1997) \n",
|
||
"2253 162.0 3 Godfather, The (1972) \n",
|
||
"8472 162.0 4 Independence Day (ID4) (1996) \n",
|
||
"1727 162.0 5 Scream (1996) \n",
|
||
"4478 162.0 6 Air Force One (1997) \n",
|
||
"728 162.0 7 Silence of the Lambs, The (1991) \n",
|
||
"9100 162.0 8 Mission: Impossible (1996) \n",
|
||
"8822 162.0 9 Men in Black (1997) \n",
|
||
"6382 162.0 10 Pulp Fiction (1994) \n",
|
||
"\n",
|
||
" genres \n",
|
||
"6985 Crime, Drama, Thriller \n",
|
||
"5656 Drama, Sci-Fi \n",
|
||
"2253 Action, Crime, Drama \n",
|
||
"8472 Action, Sci-Fi, War \n",
|
||
"1727 Horror, Thriller \n",
|
||
"4478 Action, Thriller \n",
|
||
"728 Drama, Thriller \n",
|
||
"9100 Action, Adventure, Mystery \n",
|
||
"8822 Action, Adventure, Comedy, Sci-Fi \n",
|
||
"6382 Crime, Drama "
|
||
]
|
||
},
|
||
"execution_count": 21,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"train=pd.read_csv('./Datasets/ml-100k/train.csv', sep='\\t', header=None, names=['user', 'item', 'rating', 'timestamp'])\n",
|
||
"items=pd.read_csv('./Datasets/ml-100k/movies.csv')\n",
|
||
"\n",
|
||
"user=random.choice(list(set(train['user'])))\n",
|
||
"\n",
|
||
"train_content=pd.merge(train, items, left_on='item', right_on='id')\n",
|
||
"display(train_content[train_content['user']==user][['user', 'rating', 'title', 'genres']]\\\n",
|
||
" .sort_values(by='rating', ascending=False)[:15])\n",
|
||
"\n",
|
||
"reco = np.loadtxt('Recommendations generated/ml-100k/Self_P3_reco.csv', delimiter=',')\n",
|
||
"items=pd.read_csv('./Datasets/ml-100k/movies.csv')\n",
|
||
"\n",
|
||
"# Let's ignore scores - they are not used in evaluation: \n",
|
||
"reco_users=reco[:,:1]\n",
|
||
"reco_items=reco[:,1::2]\n",
|
||
"# Let's put them into one array\n",
|
||
"reco=np.concatenate((reco_users, reco_items), axis=1)\n",
|
||
"\n",
|
||
"# Let's rebuild it user-item dataframe\n",
|
||
"recommended=[]\n",
|
||
"for row in reco:\n",
|
||
" for rec_nb, entry in enumerate(row[1:]):\n",
|
||
" recommended.append((row[0], rec_nb+1, entry))\n",
|
||
"recommended=pd.DataFrame(recommended, columns=['user','rec_nb', 'item'])\n",
|
||
"\n",
|
||
"recommended_content=pd.merge(recommended, items, left_on='item', right_on='id')\n",
|
||
"recommended_content[recommended_content['user']==user][['user', 'rec_nb', 'title', 'genres']].sort_values(by='rec_nb')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"# project task 6: generate recommendations of RP3Beta for hiperparameters found to optimize recall"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 12,
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"metadata": {},
|
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"outputs": [
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{
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"name": "stderr",
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|
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|
||
"943it [00:00, 10467.50it/s]\u001b[A\n",
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||
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" 60%|█████████████████████████████████████████████████▊ | 6/10 [00:48<00:31, 7.99s/it]\u001b[A\u001b[A\u001b[A\n",
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|
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|
||
"943it [00:00, 10130.49it/s]\u001b[A\n",
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||
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" 70%|██████████████████████████████████████████████████████████ | 7/10 [00:56<00:23, 7.98s/it]\u001b[A\u001b[A\u001b[A\n",
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|
||
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|
||
"943it [00:00, 10364.75it/s]\u001b[A\n",
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||
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||
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||
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" 80%|██████████████████████████████████████████████████████████████████▍ | 8/10 [01:04<00:16, 8.03s/it]\u001b[A\u001b[A\u001b[A\n",
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|
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|
||
"943it [00:00, 10240.52it/s]\u001b[A\n",
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||
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||
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|
||
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" 90%|██████████████████████████████████████████████████████████████████████████▋ | 9/10 [01:12<00:08, 8.00s/it]\u001b[A\u001b[A\u001b[A\n",
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|
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"\n",
|
||
"943it [00:00, 11256.66it/s]\u001b[A\n",
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||
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||
"\n",
|
||
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"100%|██████████████████████████████████████████████████████████████████████████████████| 10/10 [01:20<00:00, 8.00s/it]\u001b[A\u001b[A\u001b[A\n",
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"\n",
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" 25%|█████████████████████ | 2/8 [02:38<07:52, 78.75s/it]\u001b[A\u001b[A\n",
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||
" 0%| | 0/10 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\n",
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||
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|
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|
||
"943it [00:00, 10408.58it/s]\u001b[A\n",
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||
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||
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" 10%|████████▎ | 1/10 [00:07<01:10, 7.78s/it]\u001b[A\u001b[A\u001b[A\n",
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|
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|
||
"943it [00:00, 10130.60it/s]\u001b[A\n",
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||
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" 20%|████████████████▌ | 2/10 [00:15<01:02, 7.86s/it]\u001b[A\u001b[A\u001b[A\n",
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"\n",
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|
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"\n",
|
||
"943it [00:00, 10376.19it/s]\u001b[A\n",
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||
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|
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" 30%|████████████████████████▉ | 3/10 [00:23<00:54, 7.86s/it]\u001b[A\u001b[A\u001b[A\n",
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|
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|
||
"943it [00:00, 10240.82it/s]\u001b[A\n",
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||
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|
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|
||
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" 40%|█████████████████████████████████▏ | 4/10 [00:31<00:47, 7.88s/it]\u001b[A\u001b[A\u001b[A\n",
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|
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"\n",
|
||
"943it [00:00, 10526.31it/s]\u001b[A\n",
|
||
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|
||
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|
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" 50%|█████████████████████████████████████████▌ | 5/10 [00:39<00:39, 7.88s/it]\u001b[A\u001b[A\u001b[A\n",
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|
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|
||
"943it [00:00, 10240.84it/s]\u001b[A\n",
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||
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" 60%|█████████████████████████████████████████████████▊ | 6/10 [00:47<00:31, 7.88s/it]\u001b[A\u001b[A\u001b[A\n",
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|
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|
||
"943it [00:00, 10240.66it/s]\u001b[A\n",
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||
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||
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||
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|
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" 70%|██████████████████████████████████████████████████████████ | 7/10 [00:55<00:23, 7.91s/it]\u001b[A\u001b[A\u001b[A\n",
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"\n",
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|
||
"\n",
|
||
"943it [00:00, 9813.25it/s]A\u001b[A\n",
|
||
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|
||
"\n",
|
||
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" 80%|██████████████████████████████████████████████████████████████████▍ | 8/10 [01:03<00:15, 7.93s/it]\u001b[A\u001b[A\u001b[A\n",
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||
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||
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|
||
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" 90%|██████████████████████████████████████████████████████████████████████████▋ | 9/10 [01:11<00:07, 7.94s/it]\u001b[A\u001b[A\u001b[A\n",
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|
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"\n",
|
||
"943it [00:00, 10766.86it/s]\u001b[A\n",
|
||
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|
||
"\n",
|
||
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|
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"100%|██████████████████████████████████████████████████████████████████████████████████| 10/10 [01:19<00:00, 7.93s/it]\u001b[A\u001b[A\u001b[A\n",
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"\n",
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|
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" 38%|███████████████████████████████▌ | 3/8 [03:57<06:34, 78.90s/it]\u001b[A\u001b[A\n",
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" 0%| | 0/10 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\n",
|
||
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|
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|
||
"943it [00:00, 10240.76it/s]\u001b[A\n",
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||
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|
||
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|
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" 10%|████████▎ | 1/10 [00:07<01:10, 7.81s/it]\u001b[A\u001b[A\u001b[A\n",
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"\n",
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||
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|
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|
||
"943it [00:00, 10130.62it/s]\u001b[A\n",
|
||
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|
||
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" 20%|████████████████▌ | 2/10 [00:15<01:02, 7.81s/it]\u001b[A\u001b[A\u001b[A\n",
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|
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|
||
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||
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|
||
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|
||
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" 30%|████████████████████████▉ | 3/10 [00:23<00:54, 7.82s/it]\u001b[A\u001b[A\u001b[A\n",
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|
||
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|
||
"943it [00:00, 10352.97it/s]\u001b[A\n",
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||
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|
||
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|
||
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" 40%|█████████████████████████████████▏ | 4/10 [00:31<00:47, 7.92s/it]\u001b[A\u001b[A\u001b[A\n",
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|
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|
||
"943it [00:00, 10468.36it/s]\u001b[A\n",
|
||
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|
||
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|
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" 50%|█████████████████████████████████████████▌ | 5/10 [00:39<00:39, 7.97s/it]\u001b[A\u001b[A\u001b[A\n",
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|
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|
||
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|
||
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|
||
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|
||
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|
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" 60%|█████████████████████████████████████████████████▊ | 6/10 [00:47<00:31, 7.98s/it]\u001b[A\u001b[A\u001b[A\n",
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|
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|
||
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|
||
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|
||
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|
||
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|
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" 70%|██████████████████████████████████████████████████████████ | 7/10 [00:55<00:23, 7.95s/it]\u001b[A\u001b[A\u001b[A\n",
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|
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|
||
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|
||
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|
||
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|
||
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|
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" 80%|██████████████████████████████████████████████████████████████████▍ | 8/10 [01:03<00:15, 7.96s/it]\u001b[A\u001b[A\u001b[A\n",
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|
||
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|
||
"943it [00:00, 10392.28it/s]\u001b[A\n",
|
||
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|
||
"\n",
|
||
"\n",
|
||
" 90%|██████████████████████████████████████████████████████████████████████████▋ | 9/10 [01:11<00:07, 7.95s/it]\u001b[A\u001b[A\u001b[A\n",
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|
||
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|
||
"943it [00:00, 11083.95it/s]\u001b[A\n",
|
||
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|
||
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|
||
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|
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"100%|██████████████████████████████████████████████████████████████████████████████████| 10/10 [01:19<00:00, 7.95s/it]\u001b[A\u001b[A\u001b[A\n",
|
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||
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|
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" 50%|██████████████████████████████████████████ | 4/8 [05:16<05:16, 79.07s/it]\u001b[A\u001b[A\n",
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|
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|
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" 0%| | 0/10 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\n",
|
||
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|
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|
||
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||
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|
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|
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|
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" 10%|████████▎ | 1/10 [00:08<01:12, 8.05s/it]\u001b[A\u001b[A\u001b[A\n",
|
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"\n",
|
||
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|
||
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|
||
"943it [00:00, 10024.91it/s]\u001b[A\n",
|
||
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|
||
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|
||
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|
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" 20%|████████████████▌ | 2/10 [00:16<01:04, 8.07s/it]\u001b[A\u001b[A\u001b[A\n",
|
||
"\n",
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|
||
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|
||
"943it [00:00, 10130.55it/s]\u001b[A\n",
|
||
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|
||
"\n",
|
||
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" 30%|████████████████████████▉ | 3/10 [00:23<00:55, 7.99s/it]\u001b[A\u001b[A\u001b[A\n",
|
||
"\n",
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||
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|
||
"\n",
|
||
"943it [00:00, 10130.60it/s]\u001b[A\n",
|
||
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|
||
"\n",
|
||
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||
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|
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||
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|
||
"\n",
|
||
"943it [00:00, 10240.63it/s]\u001b[A\n",
|
||
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|
||
"\n",
|
||
"\n",
|
||
" 50%|█████████████████████████████████████████▌ | 5/10 [00:40<00:40, 8.00s/it]\u001b[A\u001b[A\u001b[A\n",
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|
||
"\n",
|
||
"943it [00:00, 10130.31it/s]\u001b[A\n",
|
||
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|
||
"\n",
|
||
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|
||
" 60%|█████████████████████████████████████████████████▊ | 6/10 [00:47<00:31, 7.98s/it]\u001b[A\u001b[A\u001b[A\n",
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||
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|
||
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|
||
"943it [00:00, 10240.71it/s]\u001b[A\n",
|
||
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|
||
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|
||
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|
||
" 70%|██████████████████████████████████████████████████████████ | 7/10 [00:55<00:23, 7.91s/it]\u001b[A\u001b[A\u001b[A\n",
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||
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||
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|
||
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|
||
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|
||
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|
||
"\n",
|
||
"\n",
|
||
" 80%|██████████████████████████████████████████████████████████████████▍ | 8/10 [01:03<00:15, 7.88s/it]\u001b[A\u001b[A\u001b[A\n",
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||
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|
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|
||
"0it [00:00, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\n",
|
||
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|
||
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|
||
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|
||
"943it [00:00, 8192.56it/s]\u001b[A\u001b[A\u001b[A\u001b[A\n",
|
||
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|
||
"\n",
|
||
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||
" 90%|██████████████████████████████████████████████████████████████████████████▋ | 9/10 [01:11<00:07, 7.89s/it]\u001b[A\u001b[A\u001b[A\n",
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||
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|
||
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|
||
"943it [00:00, 10828.06it/s]\u001b[A\n",
|
||
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|
||
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|
||
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|
||
"100%|██████████████████████████████████████████████████████████████████████████████████| 10/10 [01:19<00:00, 7.93s/it]\u001b[A\u001b[A\u001b[A\n",
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||
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|
||
" 62%|████████████████████████████████████████████████████▌ | 5/8 [06:36<03:57, 79.14s/it]\u001b[A\u001b[A\n",
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||
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|
||
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|
||
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||
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||
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||
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||
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|
||
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|
||
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||
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||
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||
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|
||
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||
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||
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||
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||
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||
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|
||
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||
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|
||
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|
||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0.5</td>\n",
|
||
" <td>1.6</td>\n",
|
||
" <td>3.704592</td>\n",
|
||
" <td>3.529400</td>\n",
|
||
" <td>0.252810</td>\n",
|
||
" <td>0.168829</td>\n",
|
||
" <td>0.166131</td>\n",
|
||
" <td>0.193923</td>\n",
|
||
" <td>0.194099</td>\n",
|
||
" <td>0.222324</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>0.172320</td>\n",
|
||
" <td>0.507818</td>\n",
|
||
" <td>0.581757</td>\n",
|
||
" <td>0.832450</td>\n",
|
||
" <td>0.160691</td>\n",
|
||
" <td>0.312473</td>\n",
|
||
" <td>0.978685</td>\n",
|
||
" <td>0.324675</td>\n",
|
||
" <td>4.885124</td>\n",
|
||
" <td>0.923658</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0.6</td>\n",
|
||
" <td>1.6</td>\n",
|
||
" <td>3.704592</td>\n",
|
||
" <td>3.529400</td>\n",
|
||
" <td>0.232344</td>\n",
|
||
" <td>0.149823</td>\n",
|
||
" <td>0.149912</td>\n",
|
||
" <td>0.176682</td>\n",
|
||
" <td>0.182618</td>\n",
|
||
" <td>0.202454</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>0.149266</td>\n",
|
||
" <td>0.447627</td>\n",
|
||
" <td>0.572141</td>\n",
|
||
" <td>0.793213</td>\n",
|
||
" <td>0.143766</td>\n",
|
||
" <td>0.288652</td>\n",
|
||
" <td>0.956734</td>\n",
|
||
" <td>0.375180</td>\n",
|
||
" <td>5.163474</td>\n",
|
||
" <td>0.899700</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0.7</td>\n",
|
||
" <td>1.6</td>\n",
|
||
" <td>3.704592</td>\n",
|
||
" <td>3.529400</td>\n",
|
||
" <td>0.190668</td>\n",
|
||
" <td>0.114377</td>\n",
|
||
" <td>0.119136</td>\n",
|
||
" <td>0.142966</td>\n",
|
||
" <td>0.153433</td>\n",
|
||
" <td>0.156962</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>0.108990</td>\n",
|
||
" <td>0.338688</td>\n",
|
||
" <td>0.554239</td>\n",
|
||
" <td>0.714740</td>\n",
|
||
" <td>0.112032</td>\n",
|
||
" <td>0.242561</td>\n",
|
||
" <td>0.917391</td>\n",
|
||
" <td>0.422799</td>\n",
|
||
" <td>5.439353</td>\n",
|
||
" <td>0.871133</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0.8</td>\n",
|
||
" <td>1.6</td>\n",
|
||
" <td>3.704592</td>\n",
|
||
" <td>3.529400</td>\n",
|
||
" <td>0.128420</td>\n",
|
||
" <td>0.074778</td>\n",
|
||
" <td>0.078618</td>\n",
|
||
" <td>0.095479</td>\n",
|
||
" <td>0.104614</td>\n",
|
||
" <td>0.104027</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>0.058852</td>\n",
|
||
" <td>0.195718</td>\n",
|
||
" <td>0.534170</td>\n",
|
||
" <td>0.576882</td>\n",
|
||
" <td>0.073268</td>\n",
|
||
" <td>0.179234</td>\n",
|
||
" <td>0.848993</td>\n",
|
||
" <td>0.461760</td>\n",
|
||
" <td>5.645544</td>\n",
|
||
" <td>0.844059</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0.9</td>\n",
|
||
" <td>1.6</td>\n",
|
||
" <td>3.704592</td>\n",
|
||
" <td>3.529400</td>\n",
|
||
" <td>0.053128</td>\n",
|
||
" <td>0.032647</td>\n",
|
||
" <td>0.034075</td>\n",
|
||
" <td>0.040718</td>\n",
|
||
" <td>0.042060</td>\n",
|
||
" <td>0.041190</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>0.016389</td>\n",
|
||
" <td>0.070535</td>\n",
|
||
" <td>0.512829</td>\n",
|
||
" <td>0.318134</td>\n",
|
||
" <td>0.032001</td>\n",
|
||
" <td>0.103351</td>\n",
|
||
" <td>0.751856</td>\n",
|
||
" <td>0.458874</td>\n",
|
||
" <td>5.549901</td>\n",
|
||
" <td>0.851786</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>80 rows × 21 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Beta Alpha RMSE MAE precision recall F_1 \\\n",
|
||
"0 0.0 0.2 268.177832 211.732649 0.262672 0.166858 0.166277 \n",
|
||
"0 0.1 0.2 157.599233 126.908903 0.270201 0.172173 0.171630 \n",
|
||
"0 0.2 0.2 92.637651 75.868627 0.276776 0.176262 0.175719 \n",
|
||
"0 0.3 0.2 54.292373 45.040060 0.285366 0.186535 0.183212 \n",
|
||
"0 0.4 0.2 31.548217 26.348648 0.294168 0.195917 0.190517 \n",
|
||
".. ... ... ... ... ... ... ... \n",
|
||
"0 0.5 1.6 3.704592 3.529400 0.252810 0.168829 0.166131 \n",
|
||
"0 0.6 1.6 3.704592 3.529400 0.232344 0.149823 0.149912 \n",
|
||
"0 0.7 1.6 3.704592 3.529400 0.190668 0.114377 0.119136 \n",
|
||
"0 0.8 1.6 3.704592 3.529400 0.128420 0.074778 0.078618 \n",
|
||
"0 0.9 1.6 3.704592 3.529400 0.053128 0.032647 0.034075 \n",
|
||
"\n",
|
||
" F_05 precision_super recall_super ... mAP MRR \\\n",
|
||
"0 0.197184 0.187661 0.203252 ... 0.196132 0.563378 \n",
|
||
"0 0.203289 0.193455 0.210058 ... 0.204201 0.574015 \n",
|
||
"0 0.208241 0.198712 0.215199 ... 0.212735 0.586185 \n",
|
||
"0 0.215805 0.206330 0.228824 ... 0.221257 0.599301 \n",
|
||
"0 0.223387 0.212339 0.237213 ... 0.232274 0.613992 \n",
|
||
".. ... ... ... ... ... ... \n",
|
||
"0 0.193923 0.194099 0.222324 ... 0.172320 0.507818 \n",
|
||
"0 0.176682 0.182618 0.202454 ... 0.149266 0.447627 \n",
|
||
"0 0.142966 0.153433 0.156962 ... 0.108990 0.338688 \n",
|
||
"0 0.095479 0.104614 0.104027 ... 0.058852 0.195718 \n",
|
||
"0 0.040718 0.042060 0.041190 ... 0.016389 0.070535 \n",
|
||
"\n",
|
||
" LAUC HR F_2 Whole_average Reco in test Test coverage \\\n",
|
||
"0 0.580866 0.850477 0.159293 0.321247 1.000000 0.060606 \n",
|
||
"0 0.583558 0.854719 0.164471 0.327693 1.000000 0.069264 \n",
|
||
"0 0.585642 0.856840 0.168325 0.333365 1.000000 0.073593 \n",
|
||
"0 0.590800 0.866384 0.176715 0.342608 1.000000 0.080087 \n",
|
||
"0 0.595531 0.873807 0.184624 0.351439 1.000000 0.090909 \n",
|
||
".. ... ... ... ... ... ... \n",
|
||
"0 0.581757 0.832450 0.160691 0.312473 0.978685 0.324675 \n",
|
||
"0 0.572141 0.793213 0.143766 0.288652 0.956734 0.375180 \n",
|
||
"0 0.554239 0.714740 0.112032 0.242561 0.917391 0.422799 \n",
|
||
"0 0.534170 0.576882 0.073268 0.179234 0.848993 0.461760 \n",
|
||
"0 0.512829 0.318134 0.032001 0.103351 0.751856 0.458874 \n",
|
||
"\n",
|
||
" Shannon Gini \n",
|
||
"0 3.669627 0.979636 \n",
|
||
"0 3.755959 0.977793 \n",
|
||
"0 3.853614 0.975477 \n",
|
||
"0 3.975583 0.972148 \n",
|
||
"0 4.135455 0.967171 \n",
|
||
".. ... ... \n",
|
||
"0 4.885124 0.923658 \n",
|
||
"0 5.163474 0.899700 \n",
|
||
"0 5.439353 0.871133 \n",
|
||
"0 5.645544 0.844059 \n",
|
||
"0 5.549901 0.851786 \n",
|
||
"\n",
|
||
"[80 rows x 21 columns]"
|
||
]
|
||
},
|
||
"execution_count": 12,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"# use better values than (1,0) for alpha and beta\n",
|
||
"# if you want you can also modify the model to consider different weights (we took as weights user ratings, maybe take ones or squares of ratings instead)\n",
|
||
"# save the outptut in 'Recommendations generated/ml-100k/Self_RP3Beta_estimations.csv'\n",
|
||
"# and 'Recommendations generated/ml-100k/Self_RP3Beta_reco.csv'\n",
|
||
"from tqdm import tqdm\n",
|
||
"result=[]\n",
|
||
"for alpha in tqdm([round(i,1) for i in np.arange(0.2,1.6001,0.2)]):\n",
|
||
" for beta in tqdm([round(i,1) for i in np.arange(0,1,0.1)]):\n",
|
||
" model=RP3Beta()\n",
|
||
" model.fit(train_ui, alpha=alpha, beta=beta)\n",
|
||
" reco=pd.DataFrame(model.recommend(user_code_id, item_code_id, topK=10))\n",
|
||
" estimations_df=pd.DataFrame(model.estimate(user_code_id, item_code_id, test_ui))\n",
|
||
" to_append=ev.evaluate(test=pd.read_csv('./Datasets/ml-100k/test.csv', sep='\\t', header=None),\n",
|
||
" estimations_df=estimations_df, \n",
|
||
" reco=np.array(reco),\n",
|
||
" super_reactions=[4,5])\n",
|
||
" to_append.insert(0, \"Alpha\", alpha)\n",
|
||
" to_append.insert(0, \"Beta\", beta)\n",
|
||
" result.append(to_append)\n",
|
||
"\n",
|
||
"result=pd.concat(result)\n",
|
||
"result"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 15,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
" vertical-align: middle;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe tbody tr th {\n",
|
||
" vertical-align: top;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe thead th {\n",
|
||
" text-align: right;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>Beta</th>\n",
|
||
" <th>Alpha</th>\n",
|
||
" <th>RMSE</th>\n",
|
||
" <th>MAE</th>\n",
|
||
" <th>precision</th>\n",
|
||
" <th>recall</th>\n",
|
||
" <th>F_1</th>\n",
|
||
" <th>F_05</th>\n",
|
||
" <th>precision_super</th>\n",
|
||
" <th>recall_super</th>\n",
|
||
" <th>...</th>\n",
|
||
" <th>mAP</th>\n",
|
||
" <th>MRR</th>\n",
|
||
" <th>LAUC</th>\n",
|
||
" <th>HR</th>\n",
|
||
" <th>F_2</th>\n",
|
||
" <th>Whole_average</th>\n",
|
||
" <th>Reco in test</th>\n",
|
||
" <th>Test coverage</th>\n",
|
||
" <th>Shannon</th>\n",
|
||
" <th>Gini</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0.9</td>\n",
|
||
" <td>0.2</td>\n",
|
||
" <td>1.924999</td>\n",
|
||
" <td>1.578969</td>\n",
|
||
" <td>0.046872</td>\n",
|
||
" <td>0.029500</td>\n",
|
||
" <td>0.030577</td>\n",
|
||
" <td>0.036250</td>\n",
|
||
" <td>0.026717</td>\n",
|
||
" <td>0.030322</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>0.016399</td>\n",
|
||
" <td>0.087921</td>\n",
|
||
" <td>0.511252</td>\n",
|
||
" <td>0.304348</td>\n",
|
||
" <td>0.028900</td>\n",
|
||
" <td>0.099565</td>\n",
|
||
" <td>0.563945</td>\n",
|
||
" <td>0.386724</td>\n",
|
||
" <td>5.389109</td>\n",
|
||
" <td>0.873532</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0.9</td>\n",
|
||
" <td>1.6</td>\n",
|
||
" <td>3.704592</td>\n",
|
||
" <td>3.529400</td>\n",
|
||
" <td>0.053128</td>\n",
|
||
" <td>0.032647</td>\n",
|
||
" <td>0.034075</td>\n",
|
||
" <td>0.040718</td>\n",
|
||
" <td>0.042060</td>\n",
|
||
" <td>0.041190</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>0.016389</td>\n",
|
||
" <td>0.070535</td>\n",
|
||
" <td>0.512829</td>\n",
|
||
" <td>0.318134</td>\n",
|
||
" <td>0.032001</td>\n",
|
||
" <td>0.103351</td>\n",
|
||
" <td>0.751856</td>\n",
|
||
" <td>0.458874</td>\n",
|
||
" <td>5.549901</td>\n",
|
||
" <td>0.851786</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0.9</td>\n",
|
||
" <td>1.4</td>\n",
|
||
" <td>3.704592</td>\n",
|
||
" <td>3.529400</td>\n",
|
||
" <td>0.083987</td>\n",
|
||
" <td>0.043380</td>\n",
|
||
" <td>0.048687</td>\n",
|
||
" <td>0.061086</td>\n",
|
||
" <td>0.069850</td>\n",
|
||
" <td>0.059877</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>0.031721</td>\n",
|
||
" <td>0.110366</td>\n",
|
||
" <td>0.518313</td>\n",
|
||
" <td>0.404030</td>\n",
|
||
" <td>0.043871</td>\n",
|
||
" <td>0.129225</td>\n",
|
||
" <td>0.760870</td>\n",
|
||
" <td>0.437951</td>\n",
|
||
" <td>5.533867</td>\n",
|
||
" <td>0.857181</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0.9</td>\n",
|
||
" <td>1.2</td>\n",
|
||
" <td>3.704590</td>\n",
|
||
" <td>3.529398</td>\n",
|
||
" <td>0.123754</td>\n",
|
||
" <td>0.059849</td>\n",
|
||
" <td>0.068941</td>\n",
|
||
" <td>0.088107</td>\n",
|
||
" <td>0.103112</td>\n",
|
||
" <td>0.086342</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>0.056347</td>\n",
|
||
" <td>0.173414</td>\n",
|
||
" <td>0.526691</td>\n",
|
||
" <td>0.513256</td>\n",
|
||
" <td>0.061176</td>\n",
|
||
" <td>0.164812</td>\n",
|
||
" <td>0.778473</td>\n",
|
||
" <td>0.428571</td>\n",
|
||
" <td>5.542104</td>\n",
|
||
" <td>0.859106</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0.9</td>\n",
|
||
" <td>0.4</td>\n",
|
||
" <td>3.570950</td>\n",
|
||
" <td>3.389375</td>\n",
|
||
" <td>0.134571</td>\n",
|
||
" <td>0.074128</td>\n",
|
||
" <td>0.081566</td>\n",
|
||
" <td>0.100181</td>\n",
|
||
" <td>0.093348</td>\n",
|
||
" <td>0.089465</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>0.061490</td>\n",
|
||
" <td>0.221330</td>\n",
|
||
" <td>0.533886</td>\n",
|
||
" <td>0.583245</td>\n",
|
||
" <td>0.074504</td>\n",
|
||
" <td>0.181723</td>\n",
|
||
" <td>0.756628</td>\n",
|
||
" <td>0.475469</td>\n",
|
||
" <td>5.836152</td>\n",
|
||
" <td>0.814736</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>...</th>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0.7</td>\n",
|
||
" <td>0.4</td>\n",
|
||
" <td>3.366117</td>\n",
|
||
" <td>3.176750</td>\n",
|
||
" <td>0.325451</td>\n",
|
||
" <td>0.212663</td>\n",
|
||
" <td>0.211707</td>\n",
|
||
" <td>0.248509</td>\n",
|
||
" <td>0.241845</td>\n",
|
||
" <td>0.277204</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>0.254415</td>\n",
|
||
" <td>0.641002</td>\n",
|
||
" <td>0.604002</td>\n",
|
||
" <td>0.899258</td>\n",
|
||
" <td>0.203678</td>\n",
|
||
" <td>0.376005</td>\n",
|
||
" <td>0.999364</td>\n",
|
||
" <td>0.212843</td>\n",
|
||
" <td>4.811161</td>\n",
|
||
" <td>0.935129</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0.6</td>\n",
|
||
" <td>0.6</td>\n",
|
||
" <td>3.675385</td>\n",
|
||
" <td>3.499644</td>\n",
|
||
" <td>0.321209</td>\n",
|
||
" <td>0.212728</td>\n",
|
||
" <td>0.210025</td>\n",
|
||
" <td>0.245804</td>\n",
|
||
" <td>0.240021</td>\n",
|
||
" <td>0.275765</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>0.252127</td>\n",
|
||
" <td>0.641583</td>\n",
|
||
" <td>0.604033</td>\n",
|
||
" <td>0.898197</td>\n",
|
||
" <td>0.202744</td>\n",
|
||
" <td>0.374524</td>\n",
|
||
" <td>1.000000</td>\n",
|
||
" <td>0.157287</td>\n",
|
||
" <td>4.524904</td>\n",
|
||
" <td>0.951442</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0.5</td>\n",
|
||
" <td>0.6</td>\n",
|
||
" <td>3.657073</td>\n",
|
||
" <td>3.481191</td>\n",
|
||
" <td>0.316543</td>\n",
|
||
" <td>0.213824</td>\n",
|
||
" <td>0.208731</td>\n",
|
||
" <td>0.243080</td>\n",
|
||
" <td>0.235515</td>\n",
|
||
" <td>0.272396</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>0.245543</td>\n",
|
||
" <td>0.627971</td>\n",
|
||
" <td>0.604552</td>\n",
|
||
" <td>0.903499</td>\n",
|
||
" <td>0.202671</td>\n",
|
||
" <td>0.371481</td>\n",
|
||
" <td>1.000000</td>\n",
|
||
" <td>0.125541</td>\n",
|
||
" <td>4.347845</td>\n",
|
||
" <td>0.959410</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0.6</td>\n",
|
||
" <td>0.4</td>\n",
|
||
" <td>3.163972</td>\n",
|
||
" <td>2.963841</td>\n",
|
||
" <td>0.321633</td>\n",
|
||
" <td>0.214651</td>\n",
|
||
" <td>0.210829</td>\n",
|
||
" <td>0.246304</td>\n",
|
||
" <td>0.237554</td>\n",
|
||
" <td>0.271061</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>0.254635</td>\n",
|
||
" <td>0.638867</td>\n",
|
||
" <td>0.604994</td>\n",
|
||
" <td>0.897137</td>\n",
|
||
" <td>0.204058</td>\n",
|
||
" <td>0.374418</td>\n",
|
||
" <td>1.000000</td>\n",
|
||
" <td>0.152958</td>\n",
|
||
" <td>4.525149</td>\n",
|
||
" <td>0.951375</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0.6</td>\n",
|
||
" <td>0.8</td>\n",
|
||
" <td>3.702928</td>\n",
|
||
" <td>3.527713</td>\n",
|
||
" <td>0.322694</td>\n",
|
||
" <td>0.216069</td>\n",
|
||
" <td>0.212152</td>\n",
|
||
" <td>0.247538</td>\n",
|
||
" <td>0.245279</td>\n",
|
||
" <td>0.284983</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>0.248239</td>\n",
|
||
" <td>0.636318</td>\n",
|
||
" <td>0.605683</td>\n",
|
||
" <td>0.910923</td>\n",
|
||
" <td>0.205450</td>\n",
|
||
" <td>0.376967</td>\n",
|
||
" <td>0.999788</td>\n",
|
||
" <td>0.178932</td>\n",
|
||
" <td>4.549663</td>\n",
|
||
" <td>0.950182</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>80 rows × 21 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Beta Alpha RMSE MAE precision recall F_1 F_05 \\\n",
|
||
"0 0.9 0.2 1.924999 1.578969 0.046872 0.029500 0.030577 0.036250 \n",
|
||
"0 0.9 1.6 3.704592 3.529400 0.053128 0.032647 0.034075 0.040718 \n",
|
||
"0 0.9 1.4 3.704592 3.529400 0.083987 0.043380 0.048687 0.061086 \n",
|
||
"0 0.9 1.2 3.704590 3.529398 0.123754 0.059849 0.068941 0.088107 \n",
|
||
"0 0.9 0.4 3.570950 3.389375 0.134571 0.074128 0.081566 0.100181 \n",
|
||
".. ... ... ... ... ... ... ... ... \n",
|
||
"0 0.7 0.4 3.366117 3.176750 0.325451 0.212663 0.211707 0.248509 \n",
|
||
"0 0.6 0.6 3.675385 3.499644 0.321209 0.212728 0.210025 0.245804 \n",
|
||
"0 0.5 0.6 3.657073 3.481191 0.316543 0.213824 0.208731 0.243080 \n",
|
||
"0 0.6 0.4 3.163972 2.963841 0.321633 0.214651 0.210829 0.246304 \n",
|
||
"0 0.6 0.8 3.702928 3.527713 0.322694 0.216069 0.212152 0.247538 \n",
|
||
"\n",
|
||
" precision_super recall_super ... mAP MRR LAUC \\\n",
|
||
"0 0.026717 0.030322 ... 0.016399 0.087921 0.511252 \n",
|
||
"0 0.042060 0.041190 ... 0.016389 0.070535 0.512829 \n",
|
||
"0 0.069850 0.059877 ... 0.031721 0.110366 0.518313 \n",
|
||
"0 0.103112 0.086342 ... 0.056347 0.173414 0.526691 \n",
|
||
"0 0.093348 0.089465 ... 0.061490 0.221330 0.533886 \n",
|
||
".. ... ... ... ... ... ... \n",
|
||
"0 0.241845 0.277204 ... 0.254415 0.641002 0.604002 \n",
|
||
"0 0.240021 0.275765 ... 0.252127 0.641583 0.604033 \n",
|
||
"0 0.235515 0.272396 ... 0.245543 0.627971 0.604552 \n",
|
||
"0 0.237554 0.271061 ... 0.254635 0.638867 0.604994 \n",
|
||
"0 0.245279 0.284983 ... 0.248239 0.636318 0.605683 \n",
|
||
"\n",
|
||
" HR F_2 Whole_average Reco in test Test coverage Shannon \\\n",
|
||
"0 0.304348 0.028900 0.099565 0.563945 0.386724 5.389109 \n",
|
||
"0 0.318134 0.032001 0.103351 0.751856 0.458874 5.549901 \n",
|
||
"0 0.404030 0.043871 0.129225 0.760870 0.437951 5.533867 \n",
|
||
"0 0.513256 0.061176 0.164812 0.778473 0.428571 5.542104 \n",
|
||
"0 0.583245 0.074504 0.181723 0.756628 0.475469 5.836152 \n",
|
||
".. ... ... ... ... ... ... \n",
|
||
"0 0.899258 0.203678 0.376005 0.999364 0.212843 4.811161 \n",
|
||
"0 0.898197 0.202744 0.374524 1.000000 0.157287 4.524904 \n",
|
||
"0 0.903499 0.202671 0.371481 1.000000 0.125541 4.347845 \n",
|
||
"0 0.897137 0.204058 0.374418 1.000000 0.152958 4.525149 \n",
|
||
"0 0.910923 0.205450 0.376967 0.999788 0.178932 4.549663 \n",
|
||
"\n",
|
||
" Gini \n",
|
||
"0 0.873532 \n",
|
||
"0 0.851786 \n",
|
||
"0 0.857181 \n",
|
||
"0 0.859106 \n",
|
||
"0 0.814736 \n",
|
||
".. ... \n",
|
||
"0 0.935129 \n",
|
||
"0 0.951442 \n",
|
||
"0 0.959410 \n",
|
||
"0 0.951375 \n",
|
||
"0 0.950182 \n",
|
||
"\n",
|
||
"[80 rows x 21 columns]"
|
||
]
|
||
},
|
||
"execution_count": 15,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"result.sort_values([\"recall\"])"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "raw",
|
||
"metadata": {},
|
||
"source": [
|
||
"So Beta 0.6 and alpha 0.8 seems to maximze recall"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 17,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"model=RP3Beta()\n",
|
||
"model.fit(train_ui, alpha=0.8, beta=0.6)\n",
|
||
"reco=pd.DataFrame(model.recommend(user_code_id, item_code_id, topK=10))\n",
|
||
"estimations_df=pd.DataFrame(model.estimate(user_code_id, item_code_id, test_ui))\n",
|
||
"reco.to_csv('Recommendations generated/ml-100k/Self_RP3Beta_reco.csv', index=False, header=False)\n",
|
||
"estimations_df.to_csv('Recommendations generated/ml-100k/Self_RP3Beta_estimations.csv', index=False, header=False)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 18,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
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||
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|
||
},
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
" vertical-align: middle;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe tbody tr th {\n",
|
||
" vertical-align: top;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe thead th {\n",
|
||
" text-align: right;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>Model</th>\n",
|
||
" <th>RMSE</th>\n",
|
||
" <th>MAE</th>\n",
|
||
" <th>precision</th>\n",
|
||
" <th>recall</th>\n",
|
||
" <th>F_1</th>\n",
|
||
" <th>F_05</th>\n",
|
||
" <th>precision_super</th>\n",
|
||
" <th>recall_super</th>\n",
|
||
" <th>NDCG</th>\n",
|
||
" <th>mAP</th>\n",
|
||
" <th>MRR</th>\n",
|
||
" <th>LAUC</th>\n",
|
||
" <th>HR</th>\n",
|
||
" <th>F_2</th>\n",
|
||
" <th>Whole_average</th>\n",
|
||
" <th>Reco in test</th>\n",
|
||
" <th>Test coverage</th>\n",
|
||
" <th>Shannon</th>\n",
|
||
" <th>Gini</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>Self_RP3Beta</td>\n",
|
||
" <td>3.702928</td>\n",
|
||
" <td>3.527713</td>\n",
|
||
" <td>0.322694</td>\n",
|
||
" <td>0.216069</td>\n",
|
||
" <td>0.212152</td>\n",
|
||
" <td>0.247538</td>\n",
|
||
" <td>0.245279</td>\n",
|
||
" <td>0.284983</td>\n",
|
||
" <td>0.388271</td>\n",
|
||
" <td>0.248239</td>\n",
|
||
" <td>0.636318</td>\n",
|
||
" <td>0.605683</td>\n",
|
||
" <td>0.910923</td>\n",
|
||
" <td>0.205450</td>\n",
|
||
" <td>0.376967</td>\n",
|
||
" <td>0.999788</td>\n",
|
||
" <td>0.178932</td>\n",
|
||
" <td>4.549663</td>\n",
|
||
" <td>0.950182</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>Self_P3</td>\n",
|
||
" <td>3.702446</td>\n",
|
||
" <td>3.527273</td>\n",
|
||
" <td>0.282185</td>\n",
|
||
" <td>0.192092</td>\n",
|
||
" <td>0.186749</td>\n",
|
||
" <td>0.216980</td>\n",
|
||
" <td>0.204185</td>\n",
|
||
" <td>0.240096</td>\n",
|
||
" <td>0.339114</td>\n",
|
||
" <td>0.204905</td>\n",
|
||
" <td>0.572157</td>\n",
|
||
" <td>0.593544</td>\n",
|
||
" <td>0.875928</td>\n",
|
||
" <td>0.181702</td>\n",
|
||
" <td>0.340803</td>\n",
|
||
" <td>1.000000</td>\n",
|
||
" <td>0.077201</td>\n",
|
||
" <td>3.875892</td>\n",
|
||
" <td>0.974947</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>Self_TopPop</td>\n",
|
||
" <td>2.508258</td>\n",
|
||
" <td>2.217909</td>\n",
|
||
" <td>0.188865</td>\n",
|
||
" <td>0.116919</td>\n",
|
||
" <td>0.118732</td>\n",
|
||
" <td>0.141584</td>\n",
|
||
" <td>0.130472</td>\n",
|
||
" <td>0.137473</td>\n",
|
||
" <td>0.214651</td>\n",
|
||
" <td>0.111707</td>\n",
|
||
" <td>0.400939</td>\n",
|
||
" <td>0.555546</td>\n",
|
||
" <td>0.765642</td>\n",
|
||
" <td>0.112750</td>\n",
|
||
" <td>0.249607</td>\n",
|
||
" <td>1.000000</td>\n",
|
||
" <td>0.038961</td>\n",
|
||
" <td>3.159079</td>\n",
|
||
" <td>0.987317</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>Self_SVDBaseline</td>\n",
|
||
" <td>3.645871</td>\n",
|
||
" <td>3.480308</td>\n",
|
||
" <td>0.135949</td>\n",
|
||
" <td>0.078868</td>\n",
|
||
" <td>0.082011</td>\n",
|
||
" <td>0.099188</td>\n",
|
||
" <td>0.106974</td>\n",
|
||
" <td>0.103767</td>\n",
|
||
" <td>0.159486</td>\n",
|
||
" <td>0.079783</td>\n",
|
||
" <td>0.328576</td>\n",
|
||
" <td>0.536311</td>\n",
|
||
" <td>0.632025</td>\n",
|
||
" <td>0.077145</td>\n",
|
||
" <td>0.201674</td>\n",
|
||
" <td>0.999894</td>\n",
|
||
" <td>0.281385</td>\n",
|
||
" <td>5.140721</td>\n",
|
||
" <td>0.909056</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>Ready_SVD</td>\n",
|
||
" <td>0.950835</td>\n",
|
||
" <td>0.748676</td>\n",
|
||
" <td>0.097879</td>\n",
|
||
" <td>0.048335</td>\n",
|
||
" <td>0.053780</td>\n",
|
||
" <td>0.068420</td>\n",
|
||
" <td>0.086159</td>\n",
|
||
" <td>0.080289</td>\n",
|
||
" <td>0.113553</td>\n",
|
||
" <td>0.054094</td>\n",
|
||
" <td>0.249037</td>\n",
|
||
" <td>0.520893</td>\n",
|
||
" <td>0.498409</td>\n",
|
||
" <td>0.048439</td>\n",
|
||
" <td>0.159941</td>\n",
|
||
" <td>0.997985</td>\n",
|
||
" <td>0.204906</td>\n",
|
||
" <td>4.395721</td>\n",
|
||
" <td>0.954872</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>Self_SVD</td>\n",
|
||
" <td>0.913966</td>\n",
|
||
" <td>0.717846</td>\n",
|
||
" <td>0.105514</td>\n",
|
||
" <td>0.044566</td>\n",
|
||
" <td>0.054152</td>\n",
|
||
" <td>0.071575</td>\n",
|
||
" <td>0.095386</td>\n",
|
||
" <td>0.075767</td>\n",
|
||
" <td>0.108802</td>\n",
|
||
" <td>0.051730</td>\n",
|
||
" <td>0.200919</td>\n",
|
||
" <td>0.519021</td>\n",
|
||
" <td>0.482503</td>\n",
|
||
" <td>0.046741</td>\n",
|
||
" <td>0.154723</td>\n",
|
||
" <td>0.861612</td>\n",
|
||
" <td>0.142136</td>\n",
|
||
" <td>3.845461</td>\n",
|
||
" <td>0.973440</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>Ready_Baseline</td>\n",
|
||
" <td>0.949459</td>\n",
|
||
" <td>0.752487</td>\n",
|
||
" <td>0.091410</td>\n",
|
||
" <td>0.037652</td>\n",
|
||
" <td>0.046030</td>\n",
|
||
" <td>0.061286</td>\n",
|
||
" <td>0.079614</td>\n",
|
||
" <td>0.056463</td>\n",
|
||
" <td>0.095957</td>\n",
|
||
" <td>0.043178</td>\n",
|
||
" <td>0.198193</td>\n",
|
||
" <td>0.515501</td>\n",
|
||
" <td>0.437964</td>\n",
|
||
" <td>0.039549</td>\n",
|
||
" <td>0.141900</td>\n",
|
||
" <td>1.000000</td>\n",
|
||
" <td>0.033911</td>\n",
|
||
" <td>2.836513</td>\n",
|
||
" <td>0.991139</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>Ready_SVDBiased</td>\n",
|
||
" <td>0.943277</td>\n",
|
||
" <td>0.743628</td>\n",
|
||
" <td>0.080912</td>\n",
|
||
" <td>0.033048</td>\n",
|
||
" <td>0.040445</td>\n",
|
||
" <td>0.053881</td>\n",
|
||
" <td>0.070815</td>\n",
|
||
" <td>0.049631</td>\n",
|
||
" <td>0.090496</td>\n",
|
||
" <td>0.041928</td>\n",
|
||
" <td>0.200192</td>\n",
|
||
" <td>0.513176</td>\n",
|
||
" <td>0.411453</td>\n",
|
||
" <td>0.034776</td>\n",
|
||
" <td>0.135063</td>\n",
|
||
" <td>0.998727</td>\n",
|
||
" <td>0.168110</td>\n",
|
||
" <td>4.165618</td>\n",
|
||
" <td>0.964211</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>Self_KNNSurprisetask</td>\n",
|
||
" <td>0.946255</td>\n",
|
||
" <td>0.745209</td>\n",
|
||
" <td>0.083457</td>\n",
|
||
" <td>0.032848</td>\n",
|
||
" <td>0.041227</td>\n",
|
||
" <td>0.055493</td>\n",
|
||
" <td>0.074785</td>\n",
|
||
" <td>0.048890</td>\n",
|
||
" <td>0.089577</td>\n",
|
||
" <td>0.040902</td>\n",
|
||
" <td>0.189057</td>\n",
|
||
" <td>0.513076</td>\n",
|
||
" <td>0.417815</td>\n",
|
||
" <td>0.034996</td>\n",
|
||
" <td>0.135177</td>\n",
|
||
" <td>0.888547</td>\n",
|
||
" <td>0.130592</td>\n",
|
||
" <td>3.611806</td>\n",
|
||
" <td>0.978659</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>Self_TopRated</td>\n",
|
||
" <td>2.508258</td>\n",
|
||
" <td>2.217909</td>\n",
|
||
" <td>0.079321</td>\n",
|
||
" <td>0.032667</td>\n",
|
||
" <td>0.039983</td>\n",
|
||
" <td>0.053170</td>\n",
|
||
" <td>0.068884</td>\n",
|
||
" <td>0.048582</td>\n",
|
||
" <td>0.070766</td>\n",
|
||
" <td>0.027602</td>\n",
|
||
" <td>0.114790</td>\n",
|
||
" <td>0.512943</td>\n",
|
||
" <td>0.411453</td>\n",
|
||
" <td>0.034385</td>\n",
|
||
" <td>0.124546</td>\n",
|
||
" <td>1.000000</td>\n",
|
||
" <td>0.024531</td>\n",
|
||
" <td>2.761238</td>\n",
|
||
" <td>0.991660</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>Self_GlobalAvg</td>\n",
|
||
" <td>1.125760</td>\n",
|
||
" <td>0.943534</td>\n",
|
||
" <td>0.061188</td>\n",
|
||
" <td>0.025968</td>\n",
|
||
" <td>0.031383</td>\n",
|
||
" <td>0.041343</td>\n",
|
||
" <td>0.040558</td>\n",
|
||
" <td>0.032107</td>\n",
|
||
" <td>0.067695</td>\n",
|
||
" <td>0.027470</td>\n",
|
||
" <td>0.171187</td>\n",
|
||
" <td>0.509546</td>\n",
|
||
" <td>0.384942</td>\n",
|
||
" <td>0.027213</td>\n",
|
||
" <td>0.118383</td>\n",
|
||
" <td>1.000000</td>\n",
|
||
" <td>0.025974</td>\n",
|
||
" <td>2.711772</td>\n",
|
||
" <td>0.992003</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>Ready_Random</td>\n",
|
||
" <td>1.525730</td>\n",
|
||
" <td>1.225537</td>\n",
|
||
" <td>0.045917</td>\n",
|
||
" <td>0.020462</td>\n",
|
||
" <td>0.023786</td>\n",
|
||
" <td>0.031070</td>\n",
|
||
" <td>0.026931</td>\n",
|
||
" <td>0.021781</td>\n",
|
||
" <td>0.051318</td>\n",
|
||
" <td>0.019634</td>\n",
|
||
" <td>0.132275</td>\n",
|
||
" <td>0.506747</td>\n",
|
||
" <td>0.316013</td>\n",
|
||
" <td>0.020936</td>\n",
|
||
" <td>0.101406</td>\n",
|
||
" <td>0.987275</td>\n",
|
||
" <td>0.183261</td>\n",
|
||
" <td>5.096275</td>\n",
|
||
" <td>0.908275</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>Ready_I-KNN</td>\n",
|
||
" <td>1.030386</td>\n",
|
||
" <td>0.813067</td>\n",
|
||
" <td>0.026087</td>\n",
|
||
" <td>0.006908</td>\n",
|
||
" <td>0.010593</td>\n",
|
||
" <td>0.016046</td>\n",
|
||
" <td>0.021137</td>\n",
|
||
" <td>0.009522</td>\n",
|
||
" <td>0.024214</td>\n",
|
||
" <td>0.008958</td>\n",
|
||
" <td>0.048068</td>\n",
|
||
" <td>0.499885</td>\n",
|
||
" <td>0.154825</td>\n",
|
||
" <td>0.008007</td>\n",
|
||
" <td>0.069521</td>\n",
|
||
" <td>0.402333</td>\n",
|
||
" <td>0.434343</td>\n",
|
||
" <td>5.133650</td>\n",
|
||
" <td>0.877999</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>Ready_I-KNNBaseline</td>\n",
|
||
" <td>0.935327</td>\n",
|
||
" <td>0.737424</td>\n",
|
||
" <td>0.002545</td>\n",
|
||
" <td>0.000755</td>\n",
|
||
" <td>0.001105</td>\n",
|
||
" <td>0.001602</td>\n",
|
||
" <td>0.002253</td>\n",
|
||
" <td>0.000930</td>\n",
|
||
" <td>0.003444</td>\n",
|
||
" <td>0.001362</td>\n",
|
||
" <td>0.011760</td>\n",
|
||
" <td>0.496724</td>\n",
|
||
" <td>0.021209</td>\n",
|
||
" <td>0.000862</td>\n",
|
||
" <td>0.045379</td>\n",
|
||
" <td>0.482821</td>\n",
|
||
" <td>0.059885</td>\n",
|
||
" <td>2.232578</td>\n",
|
||
" <td>0.994487</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>Ready_U-KNN</td>\n",
|
||
" <td>1.023495</td>\n",
|
||
" <td>0.807913</td>\n",
|
||
" <td>0.000742</td>\n",
|
||
" <td>0.000205</td>\n",
|
||
" <td>0.000305</td>\n",
|
||
" <td>0.000449</td>\n",
|
||
" <td>0.000536</td>\n",
|
||
" <td>0.000198</td>\n",
|
||
" <td>0.000845</td>\n",
|
||
" <td>0.000274</td>\n",
|
||
" <td>0.002744</td>\n",
|
||
" <td>0.496441</td>\n",
|
||
" <td>0.007423</td>\n",
|
||
" <td>0.000235</td>\n",
|
||
" <td>0.042533</td>\n",
|
||
" <td>0.602121</td>\n",
|
||
" <td>0.010823</td>\n",
|
||
" <td>2.089186</td>\n",
|
||
" <td>0.995706</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>Self_BaselineIU</td>\n",
|
||
" <td>0.958136</td>\n",
|
||
" <td>0.754051</td>\n",
|
||
" <td>0.000954</td>\n",
|
||
" <td>0.000188</td>\n",
|
||
" <td>0.000298</td>\n",
|
||
" <td>0.000481</td>\n",
|
||
" <td>0.000644</td>\n",
|
||
" <td>0.000223</td>\n",
|
||
" <td>0.001043</td>\n",
|
||
" <td>0.000335</td>\n",
|
||
" <td>0.003348</td>\n",
|
||
" <td>0.496433</td>\n",
|
||
" <td>0.009544</td>\n",
|
||
" <td>0.000220</td>\n",
|
||
" <td>0.042809</td>\n",
|
||
" <td>0.699046</td>\n",
|
||
" <td>0.005051</td>\n",
|
||
" <td>1.945910</td>\n",
|
||
" <td>0.995669</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>Self_BaselineUI</td>\n",
|
||
" <td>0.967585</td>\n",
|
||
" <td>0.762740</td>\n",
|
||
" <td>0.000954</td>\n",
|
||
" <td>0.000170</td>\n",
|
||
" <td>0.000278</td>\n",
|
||
" <td>0.000463</td>\n",
|
||
" <td>0.000644</td>\n",
|
||
" <td>0.000189</td>\n",
|
||
" <td>0.000752</td>\n",
|
||
" <td>0.000168</td>\n",
|
||
" <td>0.001677</td>\n",
|
||
" <td>0.496424</td>\n",
|
||
" <td>0.009544</td>\n",
|
||
" <td>0.000201</td>\n",
|
||
" <td>0.042622</td>\n",
|
||
" <td>0.600530</td>\n",
|
||
" <td>0.005051</td>\n",
|
||
" <td>1.803126</td>\n",
|
||
" <td>0.996380</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>Self_IKNN</td>\n",
|
||
" <td>1.018363</td>\n",
|
||
" <td>0.808793</td>\n",
|
||
" <td>0.000318</td>\n",
|
||
" <td>0.000108</td>\n",
|
||
" <td>0.000140</td>\n",
|
||
" <td>0.000189</td>\n",
|
||
" <td>0.000000</td>\n",
|
||
" <td>0.000000</td>\n",
|
||
" <td>0.000214</td>\n",
|
||
" <td>0.000037</td>\n",
|
||
" <td>0.000368</td>\n",
|
||
" <td>0.496391</td>\n",
|
||
" <td>0.003181</td>\n",
|
||
" <td>0.000118</td>\n",
|
||
" <td>0.041755</td>\n",
|
||
" <td>0.392153</td>\n",
|
||
" <td>0.115440</td>\n",
|
||
" <td>4.174741</td>\n",
|
||
" <td>0.965327</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Model RMSE MAE precision recall F_1 \\\n",
|
||
"0 Self_RP3Beta 3.702928 3.527713 0.322694 0.216069 0.212152 \n",
|
||
"0 Self_P3 3.702446 3.527273 0.282185 0.192092 0.186749 \n",
|
||
"0 Self_TopPop 2.508258 2.217909 0.188865 0.116919 0.118732 \n",
|
||
"0 Self_SVDBaseline 3.645871 3.480308 0.135949 0.078868 0.082011 \n",
|
||
"0 Ready_SVD 0.950835 0.748676 0.097879 0.048335 0.053780 \n",
|
||
"0 Self_SVD 0.913966 0.717846 0.105514 0.044566 0.054152 \n",
|
||
"0 Ready_Baseline 0.949459 0.752487 0.091410 0.037652 0.046030 \n",
|
||
"0 Ready_SVDBiased 0.943277 0.743628 0.080912 0.033048 0.040445 \n",
|
||
"0 Self_KNNSurprisetask 0.946255 0.745209 0.083457 0.032848 0.041227 \n",
|
||
"0 Self_TopRated 2.508258 2.217909 0.079321 0.032667 0.039983 \n",
|
||
"0 Self_GlobalAvg 1.125760 0.943534 0.061188 0.025968 0.031383 \n",
|
||
"0 Ready_Random 1.525730 1.225537 0.045917 0.020462 0.023786 \n",
|
||
"0 Ready_I-KNN 1.030386 0.813067 0.026087 0.006908 0.010593 \n",
|
||
"0 Ready_I-KNNBaseline 0.935327 0.737424 0.002545 0.000755 0.001105 \n",
|
||
"0 Ready_U-KNN 1.023495 0.807913 0.000742 0.000205 0.000305 \n",
|
||
"0 Self_BaselineIU 0.958136 0.754051 0.000954 0.000188 0.000298 \n",
|
||
"0 Self_BaselineUI 0.967585 0.762740 0.000954 0.000170 0.000278 \n",
|
||
"0 Self_IKNN 1.018363 0.808793 0.000318 0.000108 0.000140 \n",
|
||
"\n",
|
||
" F_05 precision_super recall_super NDCG mAP MRR \\\n",
|
||
"0 0.247538 0.245279 0.284983 0.388271 0.248239 0.636318 \n",
|
||
"0 0.216980 0.204185 0.240096 0.339114 0.204905 0.572157 \n",
|
||
"0 0.141584 0.130472 0.137473 0.214651 0.111707 0.400939 \n",
|
||
"0 0.099188 0.106974 0.103767 0.159486 0.079783 0.328576 \n",
|
||
"0 0.068420 0.086159 0.080289 0.113553 0.054094 0.249037 \n",
|
||
"0 0.071575 0.095386 0.075767 0.108802 0.051730 0.200919 \n",
|
||
"0 0.061286 0.079614 0.056463 0.095957 0.043178 0.198193 \n",
|
||
"0 0.053881 0.070815 0.049631 0.090496 0.041928 0.200192 \n",
|
||
"0 0.055493 0.074785 0.048890 0.089577 0.040902 0.189057 \n",
|
||
"0 0.053170 0.068884 0.048582 0.070766 0.027602 0.114790 \n",
|
||
"0 0.041343 0.040558 0.032107 0.067695 0.027470 0.171187 \n",
|
||
"0 0.031070 0.026931 0.021781 0.051318 0.019634 0.132275 \n",
|
||
"0 0.016046 0.021137 0.009522 0.024214 0.008958 0.048068 \n",
|
||
"0 0.001602 0.002253 0.000930 0.003444 0.001362 0.011760 \n",
|
||
"0 0.000449 0.000536 0.000198 0.000845 0.000274 0.002744 \n",
|
||
"0 0.000481 0.000644 0.000223 0.001043 0.000335 0.003348 \n",
|
||
"0 0.000463 0.000644 0.000189 0.000752 0.000168 0.001677 \n",
|
||
"0 0.000189 0.000000 0.000000 0.000214 0.000037 0.000368 \n",
|
||
"\n",
|
||
" LAUC HR F_2 Whole_average Reco in test Test coverage \\\n",
|
||
"0 0.605683 0.910923 0.205450 0.376967 0.999788 0.178932 \n",
|
||
"0 0.593544 0.875928 0.181702 0.340803 1.000000 0.077201 \n",
|
||
"0 0.555546 0.765642 0.112750 0.249607 1.000000 0.038961 \n",
|
||
"0 0.536311 0.632025 0.077145 0.201674 0.999894 0.281385 \n",
|
||
"0 0.520893 0.498409 0.048439 0.159941 0.997985 0.204906 \n",
|
||
"0 0.519021 0.482503 0.046741 0.154723 0.861612 0.142136 \n",
|
||
"0 0.515501 0.437964 0.039549 0.141900 1.000000 0.033911 \n",
|
||
"0 0.513176 0.411453 0.034776 0.135063 0.998727 0.168110 \n",
|
||
"0 0.513076 0.417815 0.034996 0.135177 0.888547 0.130592 \n",
|
||
"0 0.512943 0.411453 0.034385 0.124546 1.000000 0.024531 \n",
|
||
"0 0.509546 0.384942 0.027213 0.118383 1.000000 0.025974 \n",
|
||
"0 0.506747 0.316013 0.020936 0.101406 0.987275 0.183261 \n",
|
||
"0 0.499885 0.154825 0.008007 0.069521 0.402333 0.434343 \n",
|
||
"0 0.496724 0.021209 0.000862 0.045379 0.482821 0.059885 \n",
|
||
"0 0.496441 0.007423 0.000235 0.042533 0.602121 0.010823 \n",
|
||
"0 0.496433 0.009544 0.000220 0.042809 0.699046 0.005051 \n",
|
||
"0 0.496424 0.009544 0.000201 0.042622 0.600530 0.005051 \n",
|
||
"0 0.496391 0.003181 0.000118 0.041755 0.392153 0.115440 \n",
|
||
"\n",
|
||
" Shannon Gini \n",
|
||
"0 4.549663 0.950182 \n",
|
||
"0 3.875892 0.974947 \n",
|
||
"0 3.159079 0.987317 \n",
|
||
"0 5.140721 0.909056 \n",
|
||
"0 4.395721 0.954872 \n",
|
||
"0 3.845461 0.973440 \n",
|
||
"0 2.836513 0.991139 \n",
|
||
"0 4.165618 0.964211 \n",
|
||
"0 3.611806 0.978659 \n",
|
||
"0 2.761238 0.991660 \n",
|
||
"0 2.711772 0.992003 \n",
|
||
"0 5.096275 0.908275 \n",
|
||
"0 5.133650 0.877999 \n",
|
||
"0 2.232578 0.994487 \n",
|
||
"0 2.089186 0.995706 \n",
|
||
"0 1.945910 0.995669 \n",
|
||
"0 1.803126 0.996380 \n",
|
||
"0 4.174741 0.965327 "
|
||
]
|
||
},
|
||
"execution_count": 18,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"import imp\n",
|
||
"imp.reload(ev)\n",
|
||
"\n",
|
||
"import evaluation_measures as ev\n",
|
||
"dir_path=\"Recommendations generated/ml-100k/\"\n",
|
||
"super_reactions=[4,5]\n",
|
||
"test=pd.read_csv('./Datasets/ml-100k/test.csv', sep='\\t', header=None)\n",
|
||
"\n",
|
||
"ev.evaluate_all(test, dir_path, super_reactions)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"# project task 7 (optional): implement graph-based model of your choice "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"# for example change length of paths in RP3beta\n",
|
||
"# save the outptut in 'Recommendations generated/ml-100k/Self_GraphTask_estimations.csv'\n",
|
||
"# and 'Recommendations generated/ml-100k/Self_GraphTask_reco.csv'"
|
||
]
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "Python 3",
|
||
"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": "3.7.6"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 4
|
||
}
|