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Add notebook
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mainbpr.ipynb

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "4f81dbcc",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Reading files...\n",
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"Finished Reading files.\n",
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"Iteration 0\n",
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"Iteration 1\n",
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"Iteration 2\n",
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"Iteration 3\n",
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"Iteration 4\n",
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"Iteration 5\n",
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"Iteration 6\n",
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"Iteration 7\n",
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"Iteration 8\n",
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"Iteration 9\n",
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"Finished updating.\n",
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"Calculating Hit Rate...\n",
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"Trained:\n",
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"HitRate 0.5073891625615764\n",
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"Number of Users:609\n",
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"Number of Movies:9742\n"
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]
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}
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],
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"source": [
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"from filereader import read_ratings, read_movies\n",
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"from bpr import bpr_update\n",
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"from hitrate import hit_rate\n",
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"from random import seed\n",
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"from util import cov_matrix\n",
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"from util import random_vector\n",
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"import numpy as np\n",
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"import random as random\n",
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"seed(42)\n",
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"np.random.seed(42)\n",
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"print(\"Reading files...\")\n",
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"users = read_ratings(\"data/ratings.csv\")\n",
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"movies = read_movies(\"data/movies.csv\")\n",
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"print(\"Finished Reading files.\")\n",
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"iterations = 10\n",
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"\n",
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"for i in range(iterations):\n",
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" print(\"Iteration \" + str(i))\n",
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" bpr_update(users, movies)\n",
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"\n",
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"print(\"Finished updating.\")\n",
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"print(\"Calculating Hit Rate...\")\n",
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"\n",
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"hits, denom, rms, rmsall = hit_rate(users, movies)\n",
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"\n",
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"print(\"Trained:\")\n",
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"print(\"HitRate\" + ' ' + str(hits/denom))\n",
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"print(\"Number of Users:\" + str(len(users)))\n",
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"print(\"Number of Movies:\" + str(len(movies)))"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.8"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}

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