{
 "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",
    "train_ui, test_ui, user_code_id, user_id_code, item_code_id, item_id_code = 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)(self.train_iu.sum(axis=1)) # 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(np.vectorize(lambda x: x if x>0 else 1)(item_orders), self.beta)\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[self.train_ui.indptr[nb_user]:self.train_ui.indptr[nb_user+1]]\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([user_code_id[user], item_code_id[item], \n",
    "                           self.estimations[user,item] if not np.isnan(self.estimations[user,item]) else 1])\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('Recommendations generated/ml-100k/Self_P3_reco.csv', index=False, header=False)\n",
    "\n",
    "estimations=pd.DataFrame(model.estimate(user_code_id, item_code_id, test_ui))\n",
    "estimations.to_csv('Recommendations generated/ml-100k/Self_P3_estimations.csv', index=False, header=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "943it [00:00, 7526.70it/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>HR2</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>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       HR2  Reco in test  Test coverage   Shannon      Gini  \n",
       "0  0.875928  0.685048           1.0       0.077201  3.875892  0.974947  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import evaluation_measures as ev\n",
    "estimations_df=pd.read_csv('Recommendations generated/ml-100k/Self_P3_estimations.csv', header=None)\n",
    "reco=np.loadtxt('Recommendations generated/ml-100k/Self_P3_reco.csv', delimiter=',')\n",
    "\n",
    "ev.evaluate(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])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Let's check hiperparameters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Alpha"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
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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>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>HR2</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>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>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>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>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>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>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>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>0.999576</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       HR2  Reco in test  Test coverage   Shannon      Gini  \n",
       "0  0.850477  0.629905      1.000000       0.060606  3.669627  0.979636  \n",
       "0  0.854719  0.644751      1.000000       0.064214  3.726996  0.978426  \n",
       "0  0.870626  0.657476      1.000000       0.065657  3.785282  0.977090  \n",
       "0  0.874867  0.685048      1.000000       0.070707  3.832415  0.975998  \n",
       "0  0.875928  0.685048      1.000000       0.077201  3.875892  0.974947  \n",
       "0  0.883351  0.681866      1.000000       0.085859  3.910718  0.974073  \n",
       "0  0.871686  0.675504      1.000000       0.107504  3.961915  0.972674  \n",
       "0  0.868505  0.669141      0.999576       0.156566  4.060156  0.969203  "
      ]
     },
     "execution_count": 6,
     "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": 7,
   "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 ['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": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/10 [00:00<?, ?it/s]\n",
      "0it [00:00, ?it/s]\u001b[A\n",
      "943it [00:00, 8050.34it/s]\u001b[A\n",
      " 10%|█         | 1/10 [00:08<01:20,  8.92s/it]\n",
      "0it [00:00, ?it/s]\u001b[A\n",
      "943it [00:00, 7932.86it/s]\u001b[A\n",
      " 20%|██        | 2/10 [00:17<01:10,  8.87s/it]\n",
      "0it [00:00, ?it/s]\u001b[A\n",
      "943it [00:00, 7669.08it/s]\u001b[A\n",
      " 30%|███       | 3/10 [00:26<01:02,  8.88s/it]\n",
      "0it [00:00, ?it/s]\u001b[A\n",
      "943it [00:00, 7369.22it/s]\u001b[A\n",
      " 40%|████      | 4/10 [00:35<00:53,  8.89s/it]\n",
      "0it [00:00, ?it/s]\u001b[A\n",
      "943it [00:00, 7830.41it/s]\u001b[A\n",
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     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "        vertical-align: top;\n",
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       "    .dataframe thead th {\n",
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       "    }\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>HR2</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>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>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>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>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>0.999894</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>0.999046</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>0.996394</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>0.983033</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>0.936373</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>0.800106</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       HR2  Reco in test  Test coverage   Shannon      Gini  \n",
       "0  0.875928  0.685048      1.000000       0.077201  3.875892  0.974947  \n",
       "0  0.884411  0.695652      1.000000       0.085137  3.957416  0.972784  \n",
       "0  0.886532  0.697773      1.000000       0.094517  4.053212  0.969980  \n",
       "0  0.888653  0.707317      1.000000       0.105339  4.147779  0.966948  \n",
       "0  0.895016  0.718982      0.999894       0.132035  4.259682  0.962989  \n",
       "0  0.903499  0.724284      0.999046       0.168831  4.411281  0.956648  \n",
       "0  0.897137  0.720042      0.996394       0.212843  4.621938  0.945932  \n",
       "0  0.868505  0.693531      0.983033       0.256854  4.898568  0.928065  \n",
       "0  0.803818  0.604454      0.936373       0.341270  5.257397  0.895882  \n",
       "0  0.580064  0.400848      0.800106       0.415584  5.563910  0.857396  "
      ]
     },
     "execution_count": 8,
     "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": 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": [
    "### 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": 10,
   "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>522</th>\n",
       "      <td>817</td>\n",
       "      <td>5</td>\n",
       "      <td>Heat (1995)</td>\n",
       "      <td>Action, Crime, Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>817</td>\n",
       "      <td>4</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>Animation, Children's, Comedy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28224</th>\n",
       "      <td>817</td>\n",
       "      <td>4</td>\n",
       "      <td>Conspiracy Theory (1997)</td>\n",
       "      <td>Action, Mystery, Romance, Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69163</th>\n",
       "      <td>817</td>\n",
       "      <td>4</td>\n",
       "      <td>Desperate Measures (1998)</td>\n",
       "      <td>Crime, Drama, Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62281</th>\n",
       "      <td>817</td>\n",
       "      <td>4</td>\n",
       "      <td>Broken Arrow (1996)</td>\n",
       "      <td>Action, Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46995</th>\n",
       "      <td>817</td>\n",
       "      <td>4</td>\n",
       "      <td>Cop Land (1997)</td>\n",
       "      <td>Crime, Drama, Mystery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44432</th>\n",
       "      <td>817</td>\n",
       "      <td>4</td>\n",
       "      <td>Bound (1996)</td>\n",
       "      <td>Crime, Drama, Romance, Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36735</th>\n",
       "      <td>817</td>\n",
       "      <td>4</td>\n",
       "      <td>Lone Star (1996)</td>\n",
       "      <td>Drama, Mystery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32392</th>\n",
       "      <td>817</td>\n",
       "      <td>4</td>\n",
       "      <td>Spawn (1997)</td>\n",
       "      <td>Action, Adventure, Sci-Fi, Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30211</th>\n",
       "      <td>817</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>25251</th>\n",
       "      <td>817</td>\n",
       "      <td>4</td>\n",
       "      <td>Twelve Monkeys (1995)</td>\n",
       "      <td>Drama, Sci-Fi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7384</th>\n",
       "      <td>817</td>\n",
       "      <td>4</td>\n",
       "      <td>Saint, The (1997)</td>\n",
       "      <td>Action, Romance, Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1394</th>\n",
       "      <td>817</td>\n",
       "      <td>4</td>\n",
       "      <td>River Wild, The (1994)</td>\n",
       "      <td>Action, Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>922</th>\n",
       "      <td>817</td>\n",
       "      <td>4</td>\n",
       "      <td>Rumble in the Bronx (1995)</td>\n",
       "      <td>Action, Adventure, Crime</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25959</th>\n",
       "      <td>817</td>\n",
       "      <td>3</td>\n",
       "      <td>Dead Man Walking (1995)</td>\n",
       "      <td>Drama</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       user  rating                            title  \\\n",
       "522     817       5                      Heat (1995)   \n",
       "85      817       4                 Toy Story (1995)   \n",
       "28224   817       4         Conspiracy Theory (1997)   \n",
       "69163   817       4        Desperate Measures (1998)   \n",
       "62281   817       4              Broken Arrow (1996)   \n",
       "46995   817       4                  Cop Land (1997)   \n",
       "44432   817       4                     Bound (1996)   \n",
       "36735   817       4                 Lone Star (1996)   \n",
       "32392   817       4                     Spawn (1997)   \n",
       "30211   817       4  Star Trek: First Contact (1996)   \n",
       "25251   817       4            Twelve Monkeys (1995)   \n",
       "7384    817       4                Saint, The (1997)   \n",
       "1394    817       4           River Wild, The (1994)   \n",
       "922     817       4       Rumble in the Bronx (1995)   \n",
       "25959   817       3          Dead Man Walking (1995)   \n",
       "\n",
       "                                    genres  \n",
       "522                Action, Crime, Thriller  \n",
       "85           Animation, Children's, Comedy  \n",
       "28224   Action, Mystery, Romance, Thriller  \n",
       "69163               Crime, Drama, Thriller  \n",
       "62281                     Action, Thriller  \n",
       "46995                Crime, Drama, Mystery  \n",
       "44432      Crime, Drama, Romance, Thriller  \n",
       "36735                       Drama, Mystery  \n",
       "32392  Action, Adventure, Sci-Fi, Thriller  \n",
       "30211            Action, Adventure, Sci-Fi  \n",
       "25251                        Drama, Sci-Fi  \n",
       "7384             Action, Romance, Thriller  \n",
       "1394                      Action, Thriller  \n",
       "922               Action, Adventure, Crime  \n",
       "25959                                Drama  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<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>356</th>\n",
       "      <td>817.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Star Wars (1977)</td>\n",
       "      <td>Action, Adventure, Romance, Sci-Fi, War</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4699</th>\n",
       "      <td>817.0</td>\n",
       "      <td>2</td>\n",
       "      <td>Air Force One (1997)</td>\n",
       "      <td>Action, Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7275</th>\n",
       "      <td>817.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Fargo (1996)</td>\n",
       "      <td>Crime, Drama, Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2969</th>\n",
       "      <td>817.0</td>\n",
       "      <td>4</td>\n",
       "      <td>Return of the Jedi (1983)</td>\n",
       "      <td>Action, Adventure, Romance, Sci-Fi, War</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1954</th>\n",
       "      <td>817.0</td>\n",
       "      <td>5</td>\n",
       "      <td>Scream (1996)</td>\n",
       "      <td>Horror, Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1284</th>\n",
       "      <td>817.0</td>\n",
       "      <td>6</td>\n",
       "      <td>English Patient, The (1996)</td>\n",
       "      <td>Drama, Romance, War</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4996</th>\n",
       "      <td>817.0</td>\n",
       "      <td>7</td>\n",
       "      <td>Titanic (1997)</td>\n",
       "      <td>Action, Drama, Romance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7667</th>\n",
       "      <td>817.0</td>\n",
       "      <td>8</td>\n",
       "      <td>Rock, The (1996)</td>\n",
       "      <td>Action, Adventure, Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5453</th>\n",
       "      <td>817.0</td>\n",
       "      <td>9</td>\n",
       "      <td>Liar Liar (1997)</td>\n",
       "      <td>Comedy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2554</th>\n",
       "      <td>817.0</td>\n",
       "      <td>10</td>\n",
       "      <td>Godfather, The (1972)</td>\n",
       "      <td>Action, Crime, Drama</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       user  rec_nb                        title  \\\n",
       "356   817.0       1             Star Wars (1977)   \n",
       "4699  817.0       2         Air Force One (1997)   \n",
       "7275  817.0       3                 Fargo (1996)   \n",
       "2969  817.0       4    Return of the Jedi (1983)   \n",
       "1954  817.0       5                Scream (1996)   \n",
       "1284  817.0       6  English Patient, The (1996)   \n",
       "4996  817.0       7               Titanic (1997)   \n",
       "7667  817.0       8             Rock, The (1996)   \n",
       "5453  817.0       9             Liar Liar (1997)   \n",
       "2554  817.0      10        Godfather, The (1972)   \n",
       "\n",
       "                                       genres  \n",
       "356   Action, Adventure, Romance, Sci-Fi, War  \n",
       "4699                         Action, Thriller  \n",
       "7275                   Crime, Drama, Thriller  \n",
       "2969  Action, Adventure, Romance, Sci-Fi, War  \n",
       "1954                         Horror, Thriller  \n",
       "1284                      Drama, Romance, War  \n",
       "4996                   Action, Drama, Romance  \n",
       "7667              Action, Adventure, Thriller  \n",
       "5453                                   Comedy  \n",
       "2554                     Action, Crime, Drama  "
      ]
     },
     "execution_count": 10,
     "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": 11,
   "metadata": {},
   "outputs": [],
   "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'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "943it [00:00, 7573.18it/s]\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "\n",
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       "</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>HR2</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>0.999788</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       HR2  Reco in test  Test coverage   Shannon      Gini  \n",
       "0  0.910923  0.731707      0.999788       0.178932  4.549663  0.950182  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import evaluation_measures as ev\n",
    "\n",
    "model = RP3Beta()\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",
    "top_n.to_csv('Recommendations generated/ml-100k/Self_RP3Beta_reco.csv', index = False, header = False)\n",
    "\n",
    "estimations = pd.DataFrame(model.estimate(user_code_id, item_code_id, test_ui))\n",
    "estimations.to_csv('Recommendations generated/ml-100k/Self_RP3Beta_estimations.csv', index = False, header = False)\n",
    "estimations_df = pd.read_csv('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(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])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
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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>HR2</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>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>0.800106</td>\n",
       "      <td>0.415584</td>\n",
       "      <td>5.563910</td>\n",
       "      <td>0.857396</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>0.936373</td>\n",
       "      <td>0.341270</td>\n",
       "      <td>5.257397</td>\n",
       "      <td>0.895882</td>\n",
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       "    <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>0.983033</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>0.0</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>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>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>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>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>0.6</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>0.996394</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>0.4</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>0.999894</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>0.999046</td>\n",
       "      <td>0.168831</td>\n",
       "      <td>4.411281</td>\n",
       "      <td>0.956648</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Beta      RMSE       MAE  precision    recall       F_1      F_05  \\\n",
       "0   0.9  3.704567  3.529375   0.162354  0.076967  0.089233  0.114583   \n",
       "0   0.8  3.704552  3.529360   0.266384  0.147571  0.158660  0.194838   \n",
       "0   0.7  3.704528  3.529335   0.304136  0.187298  0.191990  0.228749   \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   0.6  3.704488  3.529295   0.314634  0.206209  0.204818  0.240159   \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",
       "\n",
       "   precision_super  recall_super      NDCG       mAP       MRR      LAUC  \\\n",
       "0         0.134657      0.113253  0.160868  0.085486  0.243590  0.535405   \n",
       "0         0.214485      0.209336  0.299850  0.184356  0.492852  0.571152   \n",
       "0         0.238305      0.256201  0.358807  0.226808  0.593897  0.591207   \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         0.242489      0.273850  0.376438  0.238428  0.622042  0.600721   \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",
       "\n",
       "         HR       HR2  Reco in test  Test coverage   Shannon      Gini  \n",
       "0  0.580064  0.400848      0.800106       0.415584  5.563910  0.857396  \n",
       "0  0.803818  0.604454      0.936373       0.341270  5.257397  0.895882  \n",
       "0  0.868505  0.693531      0.983033       0.256854  4.898568  0.928065  \n",
       "0  0.875928  0.685048      1.000000       0.077201  3.875892  0.974947  \n",
       "0  0.884411  0.695652      1.000000       0.085137  3.957416  0.972784  \n",
       "0  0.886532  0.697773      1.000000       0.094517  4.053212  0.969980  \n",
       "0  0.888653  0.707317      1.000000       0.105339  4.147779  0.966948  \n",
       "0  0.897137  0.720042      0.996394       0.212843  4.621938  0.945932  \n",
       "0  0.895016  0.718982      0.999894       0.132035  4.259682  0.962989  \n",
       "0  0.903499  0.724284      0.999046       0.168831  4.411281  0.956648  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result.sort_values([\"recall\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "943it [00:00, 8158.14it/s]\n",
      "943it [00:00, 9333.50it/s]\n",
      "943it [00:00, 9476.19it/s]\n",
      "943it [00:00, 9525.85it/s]\n",
      "943it [00:00, 8598.75it/s]\n",
      "943it [00:00, 8068.36it/s]\n",
      "943it [00:00, 8083.56it/s]\n",
      "943it [00:00, 8668.60it/s]\n",
      "943it [00:00, 9727.66it/s]\n",
      "943it [00:00, 9319.03it/s]\n",
      "943it [00:00, 9498.31it/s]\n",
      "943it [00:00, 8207.35it/s]\n",
      "943it [00:00, 9366.05it/s]\n",
      "943it [00:00, 9705.08it/s]\n",
      "943it [00:00, 9080.16it/s]\n",
      "943it [00:00, 9075.35it/s]\n",
      "943it [00:00, 9200.95it/s]\n",
      "943it [00:00, 9218.29it/s]\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\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>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>HR2</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>0.731707</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>0.685048</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>0.492047</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>3.644790</td>\n",
       "      <td>3.479397</td>\n",
       "      <td>0.137010</td>\n",
       "      <td>0.082007</td>\n",
       "      <td>0.083942</td>\n",
       "      <td>0.100776</td>\n",
       "      <td>0.106974</td>\n",
       "      <td>0.105605</td>\n",
       "      <td>0.160418</td>\n",
       "      <td>0.080222</td>\n",
       "      <td>0.322261</td>\n",
       "      <td>0.537895</td>\n",
       "      <td>0.626723</td>\n",
       "      <td>0.360551</td>\n",
       "      <td>0.999894</td>\n",
       "      <td>0.276335</td>\n",
       "      <td>5.123235</td>\n",
       "      <td>0.910511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Ready_SVD</td>\n",
       "      <td>0.950945</td>\n",
       "      <td>0.749680</td>\n",
       "      <td>0.098834</td>\n",
       "      <td>0.049106</td>\n",
       "      <td>0.054037</td>\n",
       "      <td>0.068741</td>\n",
       "      <td>0.087768</td>\n",
       "      <td>0.073987</td>\n",
       "      <td>0.113242</td>\n",
       "      <td>0.054201</td>\n",
       "      <td>0.243492</td>\n",
       "      <td>0.521280</td>\n",
       "      <td>0.493107</td>\n",
       "      <td>0.248144</td>\n",
       "      <td>0.998515</td>\n",
       "      <td>0.214286</td>\n",
       "      <td>4.413166</td>\n",
       "      <td>0.953488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Self_SVD</td>\n",
       "      <td>0.915079</td>\n",
       "      <td>0.718240</td>\n",
       "      <td>0.104772</td>\n",
       "      <td>0.045496</td>\n",
       "      <td>0.054393</td>\n",
       "      <td>0.071374</td>\n",
       "      <td>0.094421</td>\n",
       "      <td>0.076826</td>\n",
       "      <td>0.109517</td>\n",
       "      <td>0.052005</td>\n",
       "      <td>0.206646</td>\n",
       "      <td>0.519484</td>\n",
       "      <td>0.487805</td>\n",
       "      <td>0.264051</td>\n",
       "      <td>0.874549</td>\n",
       "      <td>0.142136</td>\n",
       "      <td>3.890472</td>\n",
       "      <td>0.972126</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>0.239661</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>0.938535</td>\n",
       "      <td>0.738678</td>\n",
       "      <td>0.085366</td>\n",
       "      <td>0.036921</td>\n",
       "      <td>0.044151</td>\n",
       "      <td>0.057832</td>\n",
       "      <td>0.074893</td>\n",
       "      <td>0.056396</td>\n",
       "      <td>0.095960</td>\n",
       "      <td>0.044204</td>\n",
       "      <td>0.212483</td>\n",
       "      <td>0.515132</td>\n",
       "      <td>0.446448</td>\n",
       "      <td>0.217391</td>\n",
       "      <td>0.997561</td>\n",
       "      <td>0.168110</td>\n",
       "      <td>4.191946</td>\n",
       "      <td>0.963341</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>0.217391</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_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>0.142100</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>1.522798</td>\n",
       "      <td>1.222501</td>\n",
       "      <td>0.049841</td>\n",
       "      <td>0.020656</td>\n",
       "      <td>0.025232</td>\n",
       "      <td>0.033446</td>\n",
       "      <td>0.030579</td>\n",
       "      <td>0.022927</td>\n",
       "      <td>0.051680</td>\n",
       "      <td>0.019110</td>\n",
       "      <td>0.123085</td>\n",
       "      <td>0.506849</td>\n",
       "      <td>0.331919</td>\n",
       "      <td>0.119830</td>\n",
       "      <td>0.985048</td>\n",
       "      <td>0.183983</td>\n",
       "      <td>5.097973</td>\n",
       "      <td>0.907483</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>0.072110</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>0.004242</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>0.000000</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_TopRated</td>\n",
       "      <td>2.508258</td>\n",
       "      <td>2.217909</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>0.000000</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_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>0.000000</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>0.000000</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>0.000000</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  3.644790  3.479397   0.137010  0.082007  0.083942   \n",
       "0             Ready_SVD  0.950945  0.749680   0.098834  0.049106  0.054037   \n",
       "0              Self_SVD  0.915079  0.718240   0.104772  0.045496  0.054393   \n",
       "0        Ready_Baseline  0.949459  0.752487   0.091410  0.037652  0.046030   \n",
       "0       Ready_SVDBiased  0.938535  0.738678   0.085366  0.036921  0.044151   \n",
       "0  Self_KNNSurprisetask  0.946255  0.745209   0.083457  0.032848  0.041227   \n",
       "0        Self_GlobalAvg  1.125760  0.943534   0.061188  0.025968  0.031383   \n",
       "0          Ready_Random  1.522798  1.222501   0.049841  0.020656  0.025232   \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_TopRated  2.508258  2.217909   0.000954  0.000188  0.000298   \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  0.100776         0.106974      0.105605  0.160418  0.080222  0.322261   \n",
       "0  0.068741         0.087768      0.073987  0.113242  0.054201  0.243492   \n",
       "0  0.071374         0.094421      0.076826  0.109517  0.052005  0.206646   \n",
       "0  0.061286         0.079614      0.056463  0.095957  0.043178  0.198193   \n",
       "0  0.057832         0.074893      0.056396  0.095960  0.044204  0.212483   \n",
       "0  0.055493         0.074785      0.048890  0.089577  0.040902  0.189057   \n",
       "0  0.041343         0.040558      0.032107  0.067695  0.027470  0.171187   \n",
       "0  0.033446         0.030579      0.022927  0.051680  0.019110  0.123085   \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  0.000481         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       HR2  Reco in test  Test coverage   Shannon  \\\n",
       "0  0.605683  0.910923  0.731707      0.999788       0.178932  4.549663   \n",
       "0  0.593544  0.875928  0.685048      1.000000       0.077201  3.875892   \n",
       "0  0.555546  0.765642  0.492047      1.000000       0.038961  3.159079   \n",
       "0  0.537895  0.626723  0.360551      0.999894       0.276335  5.123235   \n",
       "0  0.521280  0.493107  0.248144      0.998515       0.214286  4.413166   \n",
       "0  0.519484  0.487805  0.264051      0.874549       0.142136  3.890472   \n",
       "0  0.515501  0.437964  0.239661      1.000000       0.033911  2.836513   \n",
       "0  0.515132  0.446448  0.217391      0.997561       0.168110  4.191946   \n",
       "0  0.513076  0.417815  0.217391      0.888547       0.130592  3.611806   \n",
       "0  0.509546  0.384942  0.142100      1.000000       0.025974  2.711772   \n",
       "0  0.506849  0.331919  0.119830      0.985048       0.183983  5.097973   \n",
       "0  0.499885  0.154825  0.072110      0.402333       0.434343  5.133650   \n",
       "0  0.496724  0.021209  0.004242      0.482821       0.059885  2.232578   \n",
       "0  0.496441  0.007423  0.000000      0.602121       0.010823  2.089186   \n",
       "0  0.496433  0.009544  0.000000      0.699046       0.005051  1.945910   \n",
       "0  0.496433  0.009544  0.000000      0.699046       0.005051  1.945910   \n",
       "0  0.496424  0.009544  0.000000      0.600530       0.005051  1.803126   \n",
       "0  0.496391  0.003181  0.000000      0.392153       0.115440  4.174741   \n",
       "\n",
       "       Gini  \n",
       "0  0.950182  \n",
       "0  0.974947  \n",
       "0  0.987317  \n",
       "0  0.910511  \n",
       "0  0.953488  \n",
       "0  0.972126  \n",
       "0  0.991139  \n",
       "0  0.963341  \n",
       "0  0.978659  \n",
       "0  0.992003  \n",
       "0  0.907483  \n",
       "0  0.877999  \n",
       "0  0.994487  \n",
       "0  0.995706  \n",
       "0  0.995669  \n",
       "0  0.995669  \n",
       "0  0.996380  \n",
       "0  0.965327  "
      ]
     },
     "execution_count": 16,
     "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": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# project task 7 (optional): implement graph-based model of your choice "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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'"
   ]
  }
 ],
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