{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Self made RP3-beta"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import helpers\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import scipy.sparse as sparse\n",
    "from collections import defaultdict\n",
    "from itertools import chain\n",
    "import random\n",
    "import time\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "train_read = pd.read_csv(\"./Datasets/ml-100k/train.csv\", sep=\"\\t\", header=None)\n",
    "test_read = pd.read_csv(\"./Datasets/ml-100k/test.csv\", sep=\"\\t\", header=None)\n",
    "(\n",
    "    train_ui,\n",
    "    test_ui,\n",
    "    user_code_id,\n",
    "    user_id_code,\n",
    "    item_code_id,\n",
    "    item_id_code,\n",
    ") = helpers.data_to_csr(train_read, test_read)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "class RP3Beta:\n",
    "    def fit(self, train_ui, alpha, beta):\n",
    "        \"\"\"We weight our edges by user's explicit ratings so if user rated movie high we'll follow that path\n",
    "        with higher probability.\"\"\"\n",
    "        self.train_ui = train_ui\n",
    "        self.train_iu = train_ui.transpose()\n",
    "\n",
    "        self.alpha = alpha\n",
    "        self.beta = beta\n",
    "\n",
    "        # Define Pui\n",
    "        Pui = sparse.csr_matrix(self.train_ui / self.train_ui.sum(axis=1))\n",
    "\n",
    "        # Define Piu\n",
    "        to_divide = np.vectorize(lambda x: x if x > 0 else 1)(\n",
    "            self.train_iu.sum(axis=1)\n",
    "        )  # to avoid dividing by zero\n",
    "        Piu = sparse.csr_matrix(self.train_iu / to_divide)\n",
    "        item_orders = (self.train_ui > 0).sum(axis=0)\n",
    "\n",
    "        Pui = Pui.power(self.alpha)\n",
    "        Piu = Piu.power(self.alpha)\n",
    "\n",
    "        P3 = Pui * Piu * Pui \n",
    "\n",
    "        P3 /= np.power(\n",
    "            np.vectorize(lambda x: x if x > 0 else 1)(item_orders), self.beta\n",
    "        )\n",
    "\n",
    "        self.estimations = np.array(P3)\n",
    "\n",
    "    def recommend(self, user_code_id, item_code_id, topK=10):\n",
    "\n",
    "        top_k = defaultdict(list)\n",
    "        for nb_user, user in enumerate(self.estimations):\n",
    "\n",
    "            user_rated = self.train_ui.indices[\n",
    "                self.train_ui.indptr[nb_user] : self.train_ui.indptr[nb_user + 1]\n",
    "            ]\n",
    "            for item, score in enumerate(user):\n",
    "                if item not in user_rated and not np.isnan(score):\n",
    "                    top_k[user_code_id[nb_user]].append((item_code_id[item], score))\n",
    "        result = []\n",
    "        # Let's choose k best items in the format: (user, item1, score1, item2, score2, ...)\n",
    "        for uid, item_scores in top_k.items():\n",
    "            item_scores.sort(key=lambda x: x[1], reverse=True)\n",
    "            result.append([uid] + list(chain(*item_scores[:topK])))\n",
    "        return result\n",
    "\n",
    "    def estimate(self, user_code_id, item_code_id, test_ui):\n",
    "        result = []\n",
    "        for user, item in zip(*test_ui.nonzero()):\n",
    "            result.append(\n",
    "                [\n",
    "                    user_code_id[user],\n",
    "                    item_code_id[item],\n",
    "                    self.estimations[user, item]\n",
    "                    if not np.isnan(self.estimations[user, item])\n",
    "                    else 1,\n",
    "                ]\n",
    "            )\n",
    "        return result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = RP3Beta()\n",
    "model.fit(train_ui, alpha=1, beta=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "top_n = pd.DataFrame(model.recommend(user_code_id, item_code_id, topK=10))\n",
    "\n",
    "top_n.to_csv(\n",
    "    \"Recommendations generated/ml-100k/Self_P3_reco.csv\", index=False, header=False\n",
    ")\n",
    "\n",
    "estimations = pd.DataFrame(model.estimate(user_code_id, item_code_id, test_ui))\n",
    "estimations.to_csv(\n",
    "    \"Recommendations generated/ml-100k/Self_P3_estimations.csv\",\n",
    "    index=False,\n",
    "    header=False,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "943it [00:00, 12434.93it/s]\n"
     ]
    },
    {
     "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>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>HitRate2</th>\n",
       "      <th>HitRate3</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>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>0.685048</td>\n",
       "      <td>0.495228</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.077201</td>\n",
       "      <td>3.875892</td>\n",
       "      <td>0.974947</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       RMSE       MAE  precision    recall       F_1     F_05  \\\n",
       "0  3.702446  3.527273   0.282185  0.192092  0.186749  0.21698   \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",
       "\n",
       "         HR  HitRate2  HitRate3  Reco in test  Test coverage   Shannon  \\\n",
       "0  0.875928  0.685048  0.495228           1.0       0.077201  3.875892   \n",
       "\n",
       "       Gini  \n",
       "0  0.974947  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import evaluation_measures as ev\n",
    "\n",
    "estimations_df = pd.read_csv(\n",
    "    \"Recommendations generated/ml-100k/Self_P3_estimations.csv\", header=None\n",
    ")\n",
    "reco = np.loadtxt(\"Recommendations generated/ml-100k/Self_P3_reco.csv\", delimiter=\",\")\n",
    "\n",
    "ev.evaluate(\n",
    "    test=pd.read_csv(\"./Datasets/ml-100k/test.csv\", sep=\"\\t\", header=None),\n",
    "    estimations_df=estimations_df,\n",
    "    reco=reco,\n",
    "    super_reactions=[4, 5],\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Let's check hyperparameters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Alpha"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|                                                                                            | 0/8 [00:00<?, ?it/s]\n",
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      " 12%|██████████▌                                                                         | 1/8 [00:06<00:42,  6.02s/it]\n",
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      " 25%|█████████████████████                                                               | 2/8 [00:11<00:35,  5.97s/it]\n",
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      " 38%|███████████████████████████████▌                                                    | 3/8 [00:17<00:29,  5.99s/it]\n",
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      " 50%|██████████████████████████████████████████                                          | 4/8 [00:24<00:24,  6.05s/it]\n",
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      " 62%|████████████████████████████████████████████████████▌                               | 5/8 [00:30<00:18,  6.12s/it]\n",
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      " 75%|███████████████████████████████████████████████████████████████                     | 6/8 [00:36<00:12,  6.11s/it]\n",
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      " 88%|█████████████████████████████████████████████████████████████████████████▌          | 7/8 [00:42<00:06,  6.15s/it]\n",
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      "100%|████████████████████████████████████████████████████████████████████████████████████| 8/8 [00:48<00:00,  6.10s/it]\n"
     ]
    },
    {
     "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>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>HitRate2</th>\n",
       "      <th>HitRate3</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>0.629905</td>\n",
       "      <td>0.451750</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>0.644751</td>\n",
       "      <td>0.458112</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>0.657476</td>\n",
       "      <td>0.470838</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>0.685048</td>\n",
       "      <td>0.492047</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>0.685048</td>\n",
       "      <td>0.495228</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>0.681866</td>\n",
       "      <td>0.498409</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>0.675504</td>\n",
       "      <td>0.489926</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>0.669141</td>\n",
       "      <td>0.462354</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  HitRate2  HitRate3  Reco in test  Test coverage   Shannon  \\\n",
       "0  0.850477  0.629905  0.451750      1.000000       0.060606  3.669627   \n",
       "0  0.854719  0.644751  0.458112      1.000000       0.064214  3.726996   \n",
       "0  0.870626  0.657476  0.470838      1.000000       0.065657  3.785282   \n",
       "0  0.874867  0.685048  0.492047      1.000000       0.070707  3.832415   \n",
       "0  0.875928  0.685048  0.495228      1.000000       0.077201  3.875892   \n",
       "0  0.883351  0.681866  0.498409      1.000000       0.085859  3.910718   \n",
       "0  0.871686  0.675504  0.489926      1.000000       0.107504  3.961915   \n",
       "0  0.868505  0.669141  0.462354      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": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from tqdm import tqdm\n",
    "\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(\n",
    "        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",
    "    )\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": 7,
   "metadata": {
    "scrolled": false
   },
   "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-7-720c7bf8f8eb>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m     15\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     16\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---> 17\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(\n",
    "    nrows=charts_per_row, ncols=charts_per_column, figsize=(18, 7 * charts_per_row)\n",
    ")\n",
    "import itertools\n",
    "\n",
    "to_iter = [\n",
    "    i for i in itertools.product(range(charts_per_row), range(charts_per_column))\n",
    "]\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": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|                                                                                           | 0/10 [00:00<?, ?it/s]\n",
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      " 10%|████████▎                                                                          | 1/10 [00:06<00:54,  6.01s/it]\n",
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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>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>HitRate2</th>\n",
       "      <th>HitRate3</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>0.685048</td>\n",
       "      <td>0.495228</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>0.695652</td>\n",
       "      <td>0.514316</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>0.697773</td>\n",
       "      <td>0.515376</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>0.707317</td>\n",
       "      <td>0.531283</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>0.718982</td>\n",
       "      <td>0.537646</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>0.724284</td>\n",
       "      <td>0.548250</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>0.720042</td>\n",
       "      <td>0.542948</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>0.693531</td>\n",
       "      <td>0.520679</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>0.604454</td>\n",
       "      <td>0.428420</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>0.400848</td>\n",
       "      <td>0.261930</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  HitRate2  HitRate3  Reco in test  Test coverage   Shannon  \\\n",
       "0  0.875928  0.685048  0.495228      1.000000       0.077201  3.875892   \n",
       "0  0.884411  0.695652  0.514316      1.000000       0.085137  3.957416   \n",
       "0  0.886532  0.697773  0.515376      1.000000       0.094517  4.053212   \n",
       "0  0.888653  0.707317  0.531283      1.000000       0.105339  4.147779   \n",
       "0  0.895016  0.718982  0.537646      0.999894       0.132035  4.259682   \n",
       "0  0.903499  0.724284  0.548250      0.999046       0.168831  4.411281   \n",
       "0  0.897137  0.720042  0.542948      0.996394       0.212843  4.621938   \n",
       "0  0.868505  0.693531  0.520679      0.983033       0.256854  4.898568   \n",
       "0  0.803818  0.604454  0.428420      0.936373       0.341270  5.257397   \n",
       "0  0.580064  0.400848  0.261930      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": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from tqdm import tqdm\n",
    "\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(\n",
    "        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",
    "    )\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": 9,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "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 [\"Beta\"] for i in result.columns]])\n",
    "\n",
    "charts_per_row = 6\n",
    "charts_per_column = 3\n",
    "\n",
    "fig, axes = plt.subplots(\n",
    "    nrows=charts_per_row, ncols=charts_per_column, figsize=(18, 7 * charts_per_row)\n",
    ")\n",
    "import itertools\n",
    "\n",
    "to_iter = [\n",
    "    i for i in itertools.product(range(charts_per_row), range(charts_per_column))\n",
    "]\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": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "        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>29798</th>\n",
       "      <td>853</td>\n",
       "      <td>5</td>\n",
       "      <td>Soul Food (1997)</td>\n",
       "      <td>Drama</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26282</th>\n",
       "      <td>853</td>\n",
       "      <td>5</td>\n",
       "      <td>Air Force One (1997)</td>\n",
       "      <td>Action, Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73991</th>\n",
       "      <td>853</td>\n",
       "      <td>4</td>\n",
       "      <td>Fire Down Below (1997)</td>\n",
       "      <td>Action, Drama, Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24846</th>\n",
       "      <td>853</td>\n",
       "      <td>4</td>\n",
       "      <td>Gattaca (1997)</td>\n",
       "      <td>Drama, Sci-Fi, Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52746</th>\n",
       "      <td>853</td>\n",
       "      <td>4</td>\n",
       "      <td>Fly Away Home (1996)</td>\n",
       "      <td>Adventure, Children's</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46026</th>\n",
       "      <td>853</td>\n",
       "      <td>4</td>\n",
       "      <td>L.A. Confidential (1997)</td>\n",
       "      <td>Crime, Film-Noir, Mystery, Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33394</th>\n",
       "      <td>853</td>\n",
       "      <td>4</td>\n",
       "      <td>Game, The (1997)</td>\n",
       "      <td>Mystery, Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58732</th>\n",
       "      <td>853</td>\n",
       "      <td>4</td>\n",
       "      <td>Volcano (1997)</td>\n",
       "      <td>Drama, Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30970</th>\n",
       "      <td>853</td>\n",
       "      <td>4</td>\n",
       "      <td>Rosewood (1997)</td>\n",
       "      <td>Drama</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55641</th>\n",
       "      <td>853</td>\n",
       "      <td>4</td>\n",
       "      <td>Hoodlum (1997)</td>\n",
       "      <td>Crime, Drama, Film-Noir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19322</th>\n",
       "      <td>853</td>\n",
       "      <td>4</td>\n",
       "      <td>Scream (1996)</td>\n",
       "      <td>Horror, Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73653</th>\n",
       "      <td>853</td>\n",
       "      <td>4</td>\n",
       "      <td>Gang Related (1997)</td>\n",
       "      <td>Crime</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20974</th>\n",
       "      <td>853</td>\n",
       "      <td>4</td>\n",
       "      <td>I Know What You Did Last Summer (1997)</td>\n",
       "      <td>Horror, Mystery, Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62996</th>\n",
       "      <td>853</td>\n",
       "      <td>3</td>\n",
       "      <td>Kiss the Girls (1997)</td>\n",
       "      <td>Crime, Drama, Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37091</th>\n",
       "      <td>853</td>\n",
       "      <td>3</td>\n",
       "      <td>Contact (1997)</td>\n",
       "      <td>Drama, Sci-Fi</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       user  rating                                   title  \\\n",
       "29798   853       5                        Soul Food (1997)   \n",
       "26282   853       5                    Air Force One (1997)   \n",
       "73991   853       4                  Fire Down Below (1997)   \n",
       "24846   853       4                          Gattaca (1997)   \n",
       "52746   853       4                    Fly Away Home (1996)   \n",
       "46026   853       4                L.A. Confidential (1997)   \n",
       "33394   853       4                        Game, The (1997)   \n",
       "58732   853       4                          Volcano (1997)   \n",
       "30970   853       4                         Rosewood (1997)   \n",
       "55641   853       4                          Hoodlum (1997)   \n",
       "19322   853       4                           Scream (1996)   \n",
       "73653   853       4                     Gang Related (1997)   \n",
       "20974   853       4  I Know What You Did Last Summer (1997)   \n",
       "62996   853       3                   Kiss the Girls (1997)   \n",
       "37091   853       3                          Contact (1997)   \n",
       "\n",
       "                                    genres  \n",
       "29798                                Drama  \n",
       "26282                     Action, Thriller  \n",
       "73991              Action, Drama, Thriller  \n",
       "24846              Drama, Sci-Fi, Thriller  \n",
       "52746                Adventure, Children's  \n",
       "46026  Crime, Film-Noir, Mystery, Thriller  \n",
       "33394                    Mystery, Thriller  \n",
       "58732                      Drama, Thriller  \n",
       "30970                                Drama  \n",
       "55641              Crime, Drama, Film-Noir  \n",
       "19322                     Horror, Thriller  \n",
       "73653                                Crime  \n",
       "20974            Horror, Mystery, Thriller  \n",
       "62996               Crime, Drama, Thriller  \n",
       "37091                        Drama, Sci-Fi  "
      ]
     },
     "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",
       "    }\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>rec_nb</th>\n",
       "      <th>title</th>\n",
       "      <th>genres</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5009</th>\n",
       "      <td>853.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Titanic (1997)</td>\n",
       "      <td>Action, Drama, Romance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5225</th>\n",
       "      <td>853.0</td>\n",
       "      <td>2</td>\n",
       "      <td>Full Monty, The (1997)</td>\n",
       "      <td>Comedy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8911</th>\n",
       "      <td>853.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Murder at 1600 (1997)</td>\n",
       "      <td>Mystery, Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3809</th>\n",
       "      <td>853.0</td>\n",
       "      <td>4</td>\n",
       "      <td>Chasing Amy (1997)</td>\n",
       "      <td>Drama, Romance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>380</th>\n",
       "      <td>853.0</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>6337</th>\n",
       "      <td>853.0</td>\n",
       "      <td>6</td>\n",
       "      <td>Good Will Hunting (1997)</td>\n",
       "      <td>Drama</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2979</th>\n",
       "      <td>853.0</td>\n",
       "      <td>7</td>\n",
       "      <td>Return of the Jedi (1983)</td>\n",
       "      <td>Action, Adventure, Romance, Sci-Fi, War</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9039</th>\n",
       "      <td>853.0</td>\n",
       "      <td>8</td>\n",
       "      <td>Evita (1996)</td>\n",
       "      <td>Drama, Musical</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9021</th>\n",
       "      <td>853.0</td>\n",
       "      <td>9</td>\n",
       "      <td>Seven Years in Tibet (1997)</td>\n",
       "      <td>Drama, War</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7296</th>\n",
       "      <td>853.0</td>\n",
       "      <td>10</td>\n",
       "      <td>Fargo (1996)</td>\n",
       "      <td>Crime, Drama, Thriller</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       user  rec_nb                        title  \\\n",
       "5009  853.0       1               Titanic (1997)   \n",
       "5225  853.0       2       Full Monty, The (1997)   \n",
       "8911  853.0       3        Murder at 1600 (1997)   \n",
       "3809  853.0       4           Chasing Amy (1997)   \n",
       "380   853.0       5             Star Wars (1977)   \n",
       "6337  853.0       6     Good Will Hunting (1997)   \n",
       "2979  853.0       7    Return of the Jedi (1983)   \n",
       "9039  853.0       8                 Evita (1996)   \n",
       "9021  853.0       9  Seven Years in Tibet (1997)   \n",
       "7296  853.0      10                 Fargo (1996)   \n",
       "\n",
       "                                       genres  \n",
       "5009                   Action, Drama, Romance  \n",
       "5225                                   Comedy  \n",
       "8911                        Mystery, Thriller  \n",
       "3809                           Drama, Romance  \n",
       "380   Action, Adventure, Romance, Sci-Fi, War  \n",
       "6337                                    Drama  \n",
       "2979  Action, Adventure, Romance, Sci-Fi, War  \n",
       "9039                           Drama, Musical  \n",
       "9021                               Drama, War  \n",
       "7296                   Crime, Drama, Thriller  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train = pd.read_csv(\n",
    "    \"./Datasets/ml-100k/train.csv\",\n",
    "    sep=\"\\t\",\n",
    "    header=None,\n",
    "    names=[\"user\", \"item\", \"rating\", \"timestamp\"],\n",
    ")\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(\n",
    "    train_content[train_content[\"user\"] == user][\n",
    "        [\"user\", \"rating\", \"title\", \"genres\"]\n",
    "    ].sort_values(by=\"rating\", ascending=False)[:15]\n",
    ")\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][\n",
    "    [\"user\", \"rec_nb\", \"title\", \"genres\"]\n",
    "].sort_values(by=\"rec_nb\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# project task 5: generate recommendations of RP3Beta for hyperparameters found to optimize recall"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# We generated recommendations for P3, a special case of RP3Beta (with alpha=1, beta=0).\n",
    "# We've observed that changing alpha and beta impacts the model performance.\n",
    "\n",
    "# Your task is find values alpha and beta for which recall will be the highest \n",
    "# (any solution with recall higher than P3 will be accepted)\n",
    "# train the model and generate recommendations.\n",
    "\n",
    "# save the outptut in 'Recommendations generated/ml-100k/Self_RP3Beta_estimations.csv'\n",
    "# and 'Recommendations generated/ml-100k/Self_RP3Beta_reco.csv'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = RP3Beta()\n",
    "model.fit(train_ui, alpha=0.6, beta=0.6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "top_n = pd.DataFrame(model.recommend(user_code_id, item_code_id, topK=10))\n",
    "\n",
    "top_n.to_csv(\n",
    "    \"Recommendations generated/ml-100k/Self_RP3Beta_reco.csv\", index=False, header=False\n",
    ")\n",
    "\n",
    "estimations = pd.DataFrame(model.estimate(user_code_id, item_code_id, test_ui))\n",
    "estimations.to_csv(\n",
    "    \"Recommendations generated/ml-100k/Self_RP3Beta_estimations.csv\",\n",
    "    index=False,\n",
    "    header=False,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "943it [00:00, 12405.33it/s]\n"
     ]
    },
    {
     "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>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>HitRate2</th>\n",
       "      <th>HitRate3</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>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>0.39005</td>\n",
       "      <td>0.252127</td>\n",
       "      <td>0.641583</td>\n",
       "      <td>0.604033</td>\n",
       "      <td>0.898197</td>\n",
       "      <td>0.725345</td>\n",
       "      <td>0.552492</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.157287</td>\n",
       "      <td>4.524904</td>\n",
       "      <td>0.951442</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       RMSE       MAE  precision    recall       F_1      F_05  \\\n",
       "0  3.675385  3.499644   0.321209  0.212728  0.210025  0.245804   \n",
       "\n",
       "   precision_super  recall_super     NDCG       mAP       MRR      LAUC  \\\n",
       "0         0.240021      0.275765  0.39005  0.252127  0.641583  0.604033   \n",
       "\n",
       "         HR  HitRate2  HitRate3  Reco in test  Test coverage   Shannon  \\\n",
       "0  0.898197  0.725345  0.552492           1.0       0.157287  4.524904   \n",
       "\n",
       "       Gini  \n",
       "0  0.951442  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import evaluation_measures as ev\n",
    "\n",
    "estimations_df = pd.read_csv(\n",
    "    \"Recommendations generated/ml-100k/Self_RP3Beta_estimations.csv\", header=None\n",
    ")\n",
    "reco = np.loadtxt(\"Recommendations generated/ml-100k/Self_RP3Beta_reco.csv\", delimiter=\",\")\n",
    "\n",
    "ev.evaluate(\n",
    "    test=pd.read_csv(\"./Datasets/ml-100k/test.csv\", sep=\"\\t\", header=None),\n",
    "    estimations_df=estimations_df,\n",
    "    reco=reco,\n",
    "    super_reactions=[4, 5],\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# project task 6 (optional): implement graph-based model of your choice "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# for example change length of paths in RP3beta or make some other modification (but change more than input and hyperparameters)\n",
    "# feel free to implement your idea or search for some ideas\n",
    "\n",
    "# save the outptut in 'Recommendations generated/ml-100k/Self_GraphTask_estimations.csv'\n",
    "# and 'Recommendations generated/ml-100k/Self_GraphTask_reco.csv'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "class RP3Custom:\n",
    "    def fit(self, train_ui, alpha, beta):\n",
    "        \"\"\"We weight our edges by user's explicit ratings so if user rated movie high we'll follow that path\n",
    "        with higher probability.\"\"\"\n",
    "        self.train_ui = train_ui\n",
    "        self.train_iu = train_ui.transpose()\n",
    "\n",
    "        self.alpha = alpha\n",
    "        self.beta = beta\n",
    "\n",
    "        # Define Pui\n",
    "        Pui = sparse.csr_matrix(self.train_ui / self.train_ui.sum(axis=1))\n",
    "\n",
    "        # Define Piu\n",
    "        to_divide = np.vectorize(lambda x: x if x > 0 else 1)(\n",
    "            self.train_iu.sum(axis=1)\n",
    "        )  # to avoid dividing by zero\n",
    "        Piu = sparse.csr_matrix(self.train_iu / to_divide)\n",
    "        item_orders = (self.train_ui > 0).sum(axis=0)\n",
    "\n",
    "        PuiAlfa = Pui.power(self.alpha)\n",
    "        PiuAlfa = Piu.power(self.alpha)\n",
    "        PuiBeta = Pui.power(self.beta)\n",
    "        PiuBeta = Piu.power(self.beta)\n",
    "\n",
    "        P3 = PuiAlfa * PiuAlfa * PuiAlfa * PuiBeta * PiuBeta\n",
    "\n",
    "        P3 /= np.power(\n",
    "            np.vectorize(lambda x: x if x > 0 else 1)(item_orders), self.beta\n",
    "        )\n",
    "\n",
    "        self.estimations = np.array(P3)\n",
    "\n",
    "    def recommend(self, user_code_id, item_code_id, topK=10):\n",
    "\n",
    "        top_k = defaultdict(list)\n",
    "        for nb_user, user in enumerate(self.estimations):\n",
    "\n",
    "            user_rated = self.train_ui.indices[\n",
    "                self.train_ui.indptr[nb_user] : self.train_ui.indptr[nb_user + 1]\n",
    "            ]\n",
    "            for item, score in enumerate(user):\n",
    "                if item not in user_rated and not np.isnan(score):\n",
    "                    top_k[user_code_id[nb_user]].append((item_code_id[item], score))\n",
    "        result = []\n",
    "        # Let's choose k best items in the format: (user, item1, score1, item2, score2, ...)\n",
    "        for uid, item_scores in top_k.items():\n",
    "            item_scores.sort(key=lambda x: x[1], reverse=True)\n",
    "            result.append([uid] + list(chain(*item_scores[:topK])))\n",
    "        return result\n",
    "\n",
    "    def estimate(self, user_code_id, item_code_id, test_ui):\n",
    "        result = []\n",
    "        for user, item in zip(*test_ui.nonzero()):\n",
    "            result.append(\n",
    "                [\n",
    "                    user_code_id[user],\n",
    "                    item_code_id[item],\n",
    "                    self.estimations[user, item]\n",
    "                    if not np.isnan(self.estimations[user, item])\n",
    "                    else 1,\n",
    "                ]\n",
    "            )\n",
    "        return result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "943it [00:00, 13313.77it/s]\n"
     ]
    },
    {
     "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>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>HitRate2</th>\n",
       "      <th>HitRate3</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>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>0.731707</td>\n",
       "      <td>0.554613</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",
       "</div>"
      ],
      "text/plain": [
       "       RMSE       MAE  precision    recall       F_1      F_05  \\\n",
       "0  3.702928  3.527713   0.322694  0.216069  0.212152  0.247538   \n",
       "\n",
       "   precision_super  recall_super      NDCG       mAP       MRR      LAUC  \\\n",
       "0         0.245279      0.284983  0.388271  0.248239  0.636318  0.605683   \n",
       "\n",
       "         HR  HitRate2  HitRate3  Reco in test  Test coverage   Shannon  \\\n",
       "0  0.910923  0.731707  0.554613      0.999788       0.178932  4.549663   \n",
       "\n",
       "       Gini  \n",
       "0  0.950182  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "myModel = RP3Custom()\n",
    "model.fit(train_ui, alpha=0.8, beta=0.6)\n",
    "\n",
    "top_n = pd.DataFrame(model.recommend(user_code_id, item_code_id, topK=10))\n",
    "\n",
    "top_n.to_csv(\n",
    "    \"Recommendations generated/ml-100k/Self_GraphTask_reco.csv\", index=False, header=False\n",
    ")\n",
    "\n",
    "estimations = pd.DataFrame(model.estimate(user_code_id, item_code_id, test_ui))\n",
    "estimations.to_csv(\n",
    "    \"Recommendations generated/ml-100k/Self_GraphTask_estimations.csv\",\n",
    "    index=False,\n",
    "    header=False,\n",
    ")\n",
    "\n",
    "estimations_df = pd.read_csv(\n",
    "    \"Recommendations generated/ml-100k/Self_GraphTask_estimations.csv\", header=None\n",
    ")\n",
    "reco = np.loadtxt(\"Recommendations generated/ml-100k/Self_GraphTask_reco.csv\", delimiter=\",\")\n",
    "\n",
    "ev.evaluate(\n",
    "    test=pd.read_csv(\"./Datasets/ml-100k/test.csv\", sep=\"\\t\", header=None),\n",
    "    estimations_df=estimations_df,\n",
    "    reco=reco,\n",
    "    super_reactions=[4, 5],\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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