WideNDeep.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/linchenxiao/.pyenv/versions/3.8.5/lib/python3.8/site-packages/pandas/compat/__init__.py:97: UserWarning: Could not import the lzma module. Your installed Python is incomplete. Attempting to use lzma compression will result in a RuntimeError.\n",
      "  warnings.warn(msg)\n"
     ]
    }
   ],
   "source": [
    "import tensorflow as tf\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/linchenxiao/.pyenv/versions/3.8.5/lib/python3.8/site-packages/tensorflow/python/keras/engine/functional.py:592: UserWarning: Input dict contained keys ['rating', 'timestamp', 'userRatedMovie2', 'userRatedMovie3', 'userRatedMovie4', 'userRatedMovie5', 'userAvgReleaseYear', 'userReleaseYearStddev'] which did not match any model input. They will be ignored by the model.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7403/7403 [==============================] - 24s 3ms/step - loss: 1.1256 - accuracy: 0.5730 - auc: 0.5865 - auc_1: 0.6367\n",
      "Epoch 2/5\n",
      "7403/7403 [==============================] - 20s 3ms/step - loss: 0.6144 - accuracy: 0.6669 - auc: 0.7190 - auc_1: 0.7446\n",
      "Epoch 3/5\n",
      "7403/7403 [==============================] - 20s 3ms/step - loss: 0.5602 - accuracy: 0.7134 - auc: 0.7792 - auc_1: 0.8010\n",
      "Epoch 4/5\n",
      "7403/7403 [==============================] - 20s 3ms/step - loss: 0.5153 - accuracy: 0.7469 - auc: 0.8188 - auc_1: 0.8395\n",
      "Epoch 5/5\n",
      "7403/7403 [==============================] - 21s 3ms/step - loss: 0.4895 - accuracy: 0.7629 - auc: 0.8396 - auc_1: 0.8603\n",
      "1870/1870 [==============================] - 6s 2ms/step - loss: 0.6330 - accuracy: 0.6695 - auc: 0.7342 - auc_1: 0.7585\n",
      "\n",
      "\n",
      "Test Loss 0.633030891418457, Test Accuracy 0.6695187091827393, Test ROC AUC 0.7342421412467957, Test PR AUC 0.7585367560386658\n",
      "Predicted good rating: 16.09%  | Actual rating label:  Good Rating\n",
      "Predicted good rating: 90.25%  | Actual rating label:  Bad Rating\n",
      "Predicted good rating: 61.94%  | Actual rating label:  Good Rating\n",
      "Predicted good rating: 98.83%  | Actual rating label:  Bad Rating\n",
      "Predicted good rating: 18.62%  | Actual rating label:  Good Rating\n",
      "Predicted good rating: 90.93%  | Actual rating label:  Bad Rating\n",
      "Predicted good rating: 67.13%  | Actual rating label:  Good Rating\n",
      "Predicted good rating: 81.43%  | Actual rating label:  Bad Rating\n",
      "Predicted good rating: 11.32%  | Actual rating label:  Good Rating\n",
      "Predicted good rating: 63.21%  | Actual rating label:  Good Rating\n",
      "Predicted good rating: 62.16%  | Actual rating label:  Bad Rating\n",
      "Predicted good rating: 66.90%  | Actual rating label:  Good Rating\n"
     ]
    }
   ],
   "source": [
    "# Training samples path, change to your local path\n",
    "training_samples_file_path = tf.keras.utils.get_file(\"trainingSamples.csv\", \"file:/Users/linchenxiao/Python_Code/Spark/SparrowRecsys/sampledata/trainingSamples.csv\")\n",
    "# Test samples path, change to your local path\n",
    "test_samples_file_path = tf.keras.utils.get_file(\"testSamples.csv\", \"file:/Users/linchenxiao/Python_Code/Spark/SparrowRecsys/sampledata/testSamples.csv\")\n",
    "\n",
    "\n",
    "# load sample as tf dataset\n",
    "def get_dataset(file_path):\n",
    "    dataset = tf.data.experimental.make_csv_dataset(\n",
    "        file_path,\n",
    "        batch_size=12,\n",
    "        label_name='label',\n",
    "        na_value=\"0\",\n",
    "        num_epochs=1,\n",
    "        ignore_errors=True)\n",
    "    return dataset\n",
    "\n",
    "\n",
    "# split as test dataset and training dataset\n",
    "train_dataset = get_dataset(training_samples_file_path)\n",
    "test_dataset = get_dataset(test_samples_file_path)\n",
    "\n",
    "# genre features vocabulary\n",
    "genre_vocab = ['Film-Noir', 'Action', 'Adventure', 'Horror', 'Romance', 'War', 'Comedy', 'Western', 'Documentary',\n",
    "               'Sci-Fi', 'Drama', 'Thriller',\n",
    "               'Crime', 'Fantasy', 'Animation', 'IMAX', 'Mystery', 'Children', 'Musical']\n",
    "\n",
    "GENRE_FEATURES = {\n",
    "    'userGenre1': genre_vocab,\n",
    "    'userGenre2': genre_vocab,\n",
    "    'userGenre3': genre_vocab,\n",
    "    'userGenre4': genre_vocab,\n",
    "    'userGenre5': genre_vocab,\n",
    "    'movieGenre1': genre_vocab,\n",
    "    'movieGenre2': genre_vocab,\n",
    "    'movieGenre3': genre_vocab\n",
    "}\n",
    "\n",
    "# all categorical features\n",
    "categorical_columns = []\n",
    "for feature, vocab in GENRE_FEATURES.items():\n",
    "    cat_col = tf.feature_column.categorical_column_with_vocabulary_list(\n",
    "        key=feature, vocabulary_list=vocab)\n",
    "    emb_col = tf.feature_column.embedding_column(cat_col, 10)\n",
    "    categorical_columns.append(emb_col)\n",
    "# movie id embedding feature\n",
    "movie_col = tf.feature_column.categorical_column_with_identity(key='movieId', num_buckets=1001)\n",
    "movie_emb_col = tf.feature_column.embedding_column(movie_col, 10)\n",
    "categorical_columns.append(movie_emb_col)\n",
    "\n",
    "# user id embedding feature\n",
    "user_col = tf.feature_column.categorical_column_with_identity(key='userId', num_buckets=30001)\n",
    "user_emb_col = tf.feature_column.embedding_column(user_col, 10)\n",
    "categorical_columns.append(user_emb_col)\n",
    "\n",
    "# all numerical features\n",
    "numerical_columns = [tf.feature_column.numeric_column('releaseYear'),\n",
    "                     tf.feature_column.numeric_column('movieRatingCount'),\n",
    "                     tf.feature_column.numeric_column('movieAvgRating'),\n",
    "                     tf.feature_column.numeric_column('movieRatingStddev'),\n",
    "                     tf.feature_column.numeric_column('userRatingCount'),\n",
    "                     tf.feature_column.numeric_column('userAvgRating'),\n",
    "                     tf.feature_column.numeric_column('userRatingStddev')]\n",
    "\n",
    "# cross feature between current movie and user historical movie\n",
    "# 用户刚刚的好评电影，和现在准备推荐的电影\n",
    "rated_movie = tf.feature_column.categorical_column_with_identity(key='userRatedMovie1', num_buckets=1001)\n",
    "crossed_feature = tf.feature_column.indicator_column(tf.feature_column.crossed_column([movie_col, rated_movie], 10000))\n",
    "\n",
    "# define input for keras model\n",
    "inputs = {\n",
    "    'movieAvgRating': tf.keras.layers.Input(name='movieAvgRating', shape=(), dtype='float32'),\n",
    "    'movieRatingStddev': tf.keras.layers.Input(name='movieRatingStddev', shape=(), dtype='float32'),\n",
    "    'movieRatingCount': tf.keras.layers.Input(name='movieRatingCount', shape=(), dtype='int32'),\n",
    "    'userAvgRating': tf.keras.layers.Input(name='userAvgRating', shape=(), dtype='float32'),\n",
    "    'userRatingStddev': tf.keras.layers.Input(name='userRatingStddev', shape=(), dtype='float32'),\n",
    "    'userRatingCount': tf.keras.layers.Input(name='userRatingCount', shape=(), dtype='int32'),\n",
    "    'releaseYear': tf.keras.layers.Input(name='releaseYear', shape=(), dtype='int32'),\n",
    "\n",
    "    'movieId': tf.keras.layers.Input(name='movieId', shape=(), dtype='int32'),\n",
    "    'userId': tf.keras.layers.Input(name='userId', shape=(), dtype='int32'),\n",
    "    'userRatedMovie1': tf.keras.layers.Input(name='userRatedMovie1', shape=(), dtype='int32'),\n",
    "\n",
    "    'userGenre1': tf.keras.layers.Input(name='userGenre1', shape=(), dtype='string'),\n",
    "    'userGenre2': tf.keras.layers.Input(name='userGenre2', shape=(), dtype='string'),\n",
    "    'userGenre3': tf.keras.layers.Input(name='userGenre3', shape=(), dtype='string'),\n",
    "    'userGenre4': tf.keras.layers.Input(name='userGenre4', shape=(), dtype='string'),\n",
    "    'userGenre5': tf.keras.layers.Input(name='userGenre5', shape=(), dtype='string'),\n",
    "    'movieGenre1': tf.keras.layers.Input(name='movieGenre1', shape=(), dtype='string'),\n",
    "    'movieGenre2': tf.keras.layers.Input(name='movieGenre2', shape=(), dtype='string'),\n",
    "    'movieGenre3': tf.keras.layers.Input(name='movieGenre3', shape=(), dtype='string'),\n",
    "}\n",
    "\n",
    "# wide and deep model architecture\n",
    "# deep part for all input features\n",
    "deep = tf.keras.layers.DenseFeatures(numerical_columns + categorical_columns)(inputs)\n",
    "deep = tf.keras.layers.Dense(128, activation='relu')(deep)\n",
    "deep = tf.keras.layers.Dense(128, activation='relu')(deep)\n",
    "# wide part for cross feature\n",
    "wide = tf.keras.layers.DenseFeatures(crossed_feature)(inputs)\n",
    "both = tf.keras.layers.concatenate([deep, wide])\n",
    "output_layer = tf.keras.layers.Dense(1, activation='sigmoid')(both)\n",
    "model = tf.keras.Model(inputs, output_layer)\n",
    "\n",
    "# compile the model, set loss function, optimizer and evaluation metrics\n",
    "model.compile(\n",
    "    loss='binary_crossentropy',\n",
    "    optimizer='adam',\n",
    "    metrics=['accuracy', tf.keras.metrics.AUC(curve='ROC'), tf.keras.metrics.AUC(curve='PR')])\n",
    "\n",
    "# train the model\n",
    "model.fit(train_dataset, epochs=5)\n",
    "\n",
    "# evaluate the model\n",
    "test_loss, test_accuracy, test_roc_auc, test_pr_auc = model.evaluate(test_dataset)\n",
    "print('\\n\\nTest Loss {}, Test Accuracy {}, Test ROC AUC {}, Test PR AUC {}'.format(test_loss, test_accuracy,\n",
    "                                                                                   test_roc_auc, test_pr_auc))\n",
    "\n",
    "# print some predict results\n",
    "predictions = model.predict(test_dataset)\n",
    "for prediction, goodRating in zip(predictions[:12], list(test_dataset)[0][1][:12]):\n",
    "    print(\"Predicted good rating: {:.2%}\".format(prediction[0]),\n",
    "          \" | Actual rating label: \",\n",
    "          (\"Good Rating\" if bool(goodRating) else \"Bad Rating\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tf.keras.utils.plot_model(model, to_file=\"WideDeep.png\", show_shapes=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}