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Created November 27, 2019 11:20
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How To Implement Explainable AI With What-If Tool For Model Comparison
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XAI_WHAT_IF.ipynb
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "T2-What-IF_Article.ipynb",
"provenance": [],
"collapsed_sections": []
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"accelerator": "GPU"
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "YFpFT7cpAS4i",
"colab_type": "text"
},
"source": [
"# What-If Explained\n",
"---\n",
"\n",
"Explainable AI or shortly XAI is a domain that deals with inducing transparency to the decision making capability of complex machine learning models and algorithms.\n",
"\n",
"In this tutorial, we will take a look at such a tool that is built for the purpose of making AI explainable. \n",
"\n",
"**Click [here](https://www.machinehack.com/course/predicting-food-delivery-time-hackathon-by-ims-proschool/) to participate in Predicting Food Delivery Time - Hackathon by IMS Proschool.**\n",
" "
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "S_jBYc1XPmJ3",
"colab_type": "text"
},
"source": [
"##Mounting Google Drive "
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "pe6bXU0rQUqC",
"colab_type": "text"
},
"source": [
"Mount your google drive to access files in the drive, here I have uploaded all the requires datasets in to my google drive, mounted it to colab by authorising access."
]
},
{
"cell_type": "code",
"metadata": {
"id": "dfsrnSdXiyjg",
"colab_type": "code",
"outputId": "935a2344-fce8-423c-efa9-0fab1eb1b0f7",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
}
},
"source": [
"from google.colab import drive\n",
"import google.colab\n",
"\n",
"drive.mount(\"/GD\")"
],
"execution_count": 1,
"outputs": [
{
"output_type": "stream",
"text": [
"Drive already mounted at /GD; to attempt to forcibly remount, call drive.mount(\"/GD\", force_remount=True).\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "0XPhPr6agEcy",
"colab_type": "text"
},
"source": [
"## Importing Necesssary Modules"
]
},
{
"cell_type": "code",
"metadata": {
"id": "_Jt5TumoWVf5",
"colab_type": "code",
"outputId": "386478d4-9ebb-4219-ccd9-004c4dae5746",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 102
}
},
"source": [
"try:\n",
" %tensorflow_version 2.x #gpu\n",
"except Exception:\n",
" pass\n",
"\n",
"import tensorflow as tf"
],
"execution_count": 2,
"outputs": [
{
"output_type": "stream",
"text": [
"`%tensorflow_version` only switches the major version: `1.x` or `2.x`.\n",
"You set: `2.x #gpu`. This will be interpreted as: `2.x`.\n",
"\n",
"\n",
"TensorFlow 2.x selected.\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "n06tBrDcTit-",
"colab_type": "code",
"outputId": "de693516-99fd-44c4-af57-92b788b89b62",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
}
},
"source": [
"#Install the What-If Tool widget \n",
"try:\n",
" !pip install --upgrade witwidget\n",
"except:\n",
" pass"
],
"execution_count": 3,
"outputs": [
{
"output_type": "stream",
"text": [
"Requirement already up-to-date: witwidget in /usr/local/lib/python3.6/dist-packages (1.5.0)\n",
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"Requirement already satisfied, skipping upgrade: requests>=2.0.0 in /tensorflow-2.0.0/python3.6 (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard<2.1.0,>=2.0.0->tensorflow>=1.12.0->witwidget) (2.22.0)\n",
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"Requirement already satisfied, skipping upgrade: certifi>=2017.4.17 in /tensorflow-2.0.0/python3.6 (from requests>=2.0.0->requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard<2.1.0,>=2.0.0->tensorflow>=1.12.0->witwidget) (2019.9.11)\n",
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"Requirement already satisfied, skipping upgrade: chardet<3.1.0,>=3.0.2 in /tensorflow-2.0.0/python3.6 (from requests>=2.0.0->requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard<2.1.0,>=2.0.0->tensorflow>=1.12.0->witwidget) (3.0.4)\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "6folg_xyb3AW",
"colab_type": "code",
"colab": {}
},
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import functools"
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "TsiypTZYgJ8I",
"colab_type": "text"
},
"source": [
"## Loading The Dataset And Splitting It into Training & Validation Sets"
]
},
{
"cell_type": "code",
"metadata": {
"id": "L4U3QN65Tiqw",
"colab_type": "code",
"colab": {}
},
"source": [
"train = pd.read_csv(\"/GD/My Drive/Colab Notebooks/DataSets/train.csv\")"
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "rAkgb7G8ql2g",
"colab_type": "code",
"colab": {}
},
"source": [
"from sklearn.model_selection import train_test_split\n",
"train, val = train_test_split(train, test_size = 0.1, random_state = 2)"
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "KYWpWzpgTio6",
"colab_type": "code",
"outputId": "6b9716fc-ffd6-4851-8e6b-912d2ddfd240",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 419
}
},
"source": [
"train"
],
"execution_count": 7,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": [
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" <th>Average_Cost_Cleaned</th>\n",
" <th>Minimum_Order_Cleaned</th>\n",
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" <td>50</td>\n",
" <td>3.20000</td>\n",
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" <td>8</td>\n",
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" <tr>\n",
" <th>4082</th>\n",
" <td>ID_5074</td>\n",
" <td>delhi high court</td>\n",
" <td>bakery</td>\n",
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" <td>3.50000</td>\n",
" <td>16</td>\n",
" <td>2</td>\n",
" <td>30 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>937</th>\n",
" <td>ID_1209</td>\n",
" <td>delhi cantt.</td>\n",
" <td>cafe</td>\n",
" <td>250</td>\n",
" <td>50</td>\n",
" <td>2.60000</td>\n",
" <td>41</td>\n",
" <td>19</td>\n",
" <td>45 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3154</th>\n",
" <td>ID_3475</td>\n",
" <td>mico layout</td>\n",
" <td>north indian</td>\n",
" <td>300</td>\n",
" <td>50</td>\n",
" <td>3.80000</td>\n",
" <td>94</td>\n",
" <td>46</td>\n",
" <td>30 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1099</th>\n",
" <td>ID_163</td>\n",
" <td>rmz centennial</td>\n",
" <td>lebanese</td>\n",
" <td>100</td>\n",
" <td>50</td>\n",
" <td>3.70000</td>\n",
" <td>26</td>\n",
" <td>6</td>\n",
" <td>30 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2514</th>\n",
" <td>ID_1997</td>\n",
" <td>yerawada</td>\n",
" <td>north indian</td>\n",
" <td>200</td>\n",
" <td>50</td>\n",
" <td>3.00000</td>\n",
" <td>35</td>\n",
" <td>8</td>\n",
" <td>45 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6637</th>\n",
" <td>ID_8383</td>\n",
" <td>d-block</td>\n",
" <td>north indian</td>\n",
" <td>200</td>\n",
" <td>50</td>\n",
" <td>3.70000</td>\n",
" <td>95</td>\n",
" <td>62</td>\n",
" <td>65 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2575</th>\n",
" <td>ID_5321</td>\n",
" <td>majestic</td>\n",
" <td>biryani</td>\n",
" <td>100</td>\n",
" <td>50</td>\n",
" <td>2.50000</td>\n",
" <td>23</td>\n",
" <td>16</td>\n",
" <td>30 minutes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7336</th>\n",
" <td>ID_663</td>\n",
" <td>nathan road</td>\n",
" <td>bakery</td>\n",
" <td>100</td>\n",
" <td>50</td>\n",
" <td>3.61346</td>\n",
" <td>244</td>\n",
" <td>123</td>\n",
" <td>30 minutes</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>9984 rows × 9 columns</p>\n",
"</div>"
],
"text/plain": [
" Restaurant Location_Feature_1 ... Reviews_Cleaned Delivery_Time\n",
"7898 ID_7618 mico layout ... 8 65 minutes\n",
"4082 ID_5074 delhi high court ... 139 45 minutes\n",
"9433 ID_1762 mico layout ... 2 30 minutes\n",
"937 ID_1209 delhi cantt. ... 19 45 minutes\n",
"3154 ID_3475 mico layout ... 46 30 minutes\n",
"... ... ... ... ... ...\n",
"1099 ID_163 rmz centennial ... 6 30 minutes\n",
"2514 ID_1997 yerawada ... 8 45 minutes\n",
"6637 ID_8383 d-block ... 62 65 minutes\n",
"2575 ID_5321 majestic ... 16 30 minutes\n",
"7336 ID_663 nathan road ... 123 30 minutes\n",
"\n",
"[9984 rows x 9 columns]"
]
},
"metadata": {
"tags": []
},
"execution_count": 7
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "VnM9QwZegS3N",
"colab_type": "text"
},
"source": [
"##Data Preprocessing \n",
"---\n",
"In the following code block we will implement functions to perform the following operations :\n",
"\n",
"* A function to create a tensorflow feature spec from the dataframe and columns specified.\n",
"* A function to create simple numeric and categorical feature columns from the feature spec and a list of columns from that spec to use.\n",
"* A function to parse the Tf.Example protos into features for the input function.\n",
"* A function to convert a dataframe into a list of tf.Example protos.\n",
"* A function to encode the label column and return the classes.\n",
"\n"
]
},
{
"cell_type": "code",
"metadata": {
"id": "Hx6PR0xZDxsL",
"colab_type": "code",
"colab": {}
},
"source": [
"# Creates a tf feature spec from the dataframe and columns specified.\n",
"def create_feature_spec(df, columns=None):\n",
" feature_spec = {}\n",
" if columns == None:\n",
" columns = df.columns.values.tolist()\n",
" for f in columns:\n",
" if df[f].dtype is np.dtype(np.int64):\n",
" feature_spec[f] = tf.compat.v1.FixedLenFeature(shape=(), dtype=tf.int64)\n",
" elif df[f].dtype is np.dtype(np.float64):\n",
" feature_spec[f] = tf.compat.v1.FixedLenFeature(shape=(), dtype=tf.float32)\n",
" else:\n",
" feature_spec[f] = tf.compat.v1.FixedLenFeature(shape=(), dtype=tf.string)\n",
" return feature_spec\n",
"\n",
"# Creates simple numeric and categorical feature columns from a feature spec and a\n",
"# list of columns from that spec to use.\n",
"def create_feature_columns(columns, feature_spec):\n",
" ret = []\n",
" for col in columns:\n",
" if feature_spec[col].dtype is tf.int64 or feature_spec[col].dtype is tf.float32:\n",
" ret.append(tf.feature_column.numeric_column(col))\n",
" else:\n",
" ret.append(tf.feature_column.indicator_column(\n",
" tf.feature_column.categorical_column_with_vocabulary_list(col, list(df[col].unique()))))\n",
" return ret\n",
"\n",
"def tfexamples_input_fn(examples, feature_spec, label, mode=tf.estimator.ModeKeys.EVAL,\n",
" num_epochs=None, \n",
" batch_size=64):\n",
" def ex_generator():\n",
" for i in range(len(examples)):\n",
" yield examples[i].SerializeToString()\n",
" dataset = tf.data.Dataset.from_generator(\n",
" ex_generator, tf.dtypes.string, tf.TensorShape([]))\n",
" if mode == tf.estimator.ModeKeys.TRAIN:\n",
" dataset = dataset.shuffle(buffer_size=2 * batch_size + 1)\n",
" dataset = dataset.batch(batch_size)\n",
" dataset = dataset.map(lambda tf_example: parse_tf_example(tf_example, label, feature_spec))\n",
" dataset = dataset.repeat(num_epochs)\n",
" return dataset\n",
"\n",
"# Parses Tf.Example protos into features for the input function.\n",
"def parse_tf_example(example_proto, label, feature_spec):\n",
" parsed_features = tf.io.parse_example(serialized=example_proto, features=feature_spec)\n",
" target = parsed_features.pop(label)\n",
" return parsed_features, target\n",
"\n",
"# Converts a dataframe into a list of tf.Example protos.\n",
"def df_to_examples(df, columns=None):\n",
" examples = []\n",
" if columns == None:\n",
" columns = df.columns.values.tolist()\n",
" for index, row in df.iterrows():\n",
" example = tf.train.Example()\n",
" for col in columns:\n",
" if df[col].dtype is np.dtype(np.int64):\n",
" example.features.feature[col].int64_list.value.append(int(row[col]))\n",
" elif df[col].dtype is np.dtype(np.float64):\n",
" example.features.feature[col].float_list.value.append(row[col])\n",
" elif row[col] == row[col]:\n",
" example.features.feature[col].bytes_list.value.append(row[col].encode('utf-8'))\n",
" examples.append(example)\n",
" return examples\n",
"\n",
"# Encode the label column\n",
"from sklearn.preprocessing import LabelEncoder\n",
"\n",
"def make_label_column_numeric(df, label_column, unique_classes):\n",
" #df[label_column] = np.where(test(df[label_column]), 1, 0)\n",
" le = LabelEncoder().fit(unique_classes)\n",
" df[label_column] = le.transform(df[label_column] )\n",
" return le.classes_"
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "LLeGCclxIdR8",
"colab_type": "text"
},
"source": [
"Now let's go ahead with the actual preprocessing. We will gather some required parameters fro the dataset. "
]
},
{
"cell_type": "code",
"metadata": {
"id": "MN5mrqlXTim9",
"colab_type": "code",
"colab": {}
},
"source": [
"# Specify the dataframe\n",
"df = train\n",
"\n",
"# Setting the categorical feature to predict or classify (Target)\n",
"label_column = 'Delivery_Time'\n",
"\n",
"#List the uique classes in the target column\n",
"classes = list(df[label_column].unique())\n",
"\n",
"#Encode the categories in the target column using the unique classes\n",
"enc_labels = make_label_column_numeric(df, label_column, classes)\n",
"\n",
"# Listing the independent features\n",
"cols = list(df.columns)\n",
"input_features = cols[:-1]\n",
"\n",
"# Create a list containing all input features and the label column\n",
"features_and_labels = input_features + [label_column]"
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "UEgoaygDtWus",
"colab_type": "code",
"outputId": "de60c641-c1d9-4f6a-a893-5f668b0257fe",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 51
}
},
"source": [
"enc_labels"
],
"execution_count": 10,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"array(['10 minutes', '120 minutes', '20 minutes', '30 minutes',\n",
" '45 minutes', '65 minutes', '80 minutes'], dtype='<U11')"
]
},
"metadata": {
"tags": []
},
"execution_count": 10
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "soVGFFU7hV_4",
"colab_type": "code",
"outputId": "32b14fc7-72ad-4f2a-db38-75af8d3cd10c",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 170
}
},
"source": [
"features_and_labels"
],
"execution_count": 11,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"['Restaurant',\n",
" 'Location_Feature_1',\n",
" 'Cuisines_Feature_1',\n",
" 'Average_Cost_Cleaned',\n",
" 'Minimum_Order_Cleaned',\n",
" 'Rating_Cleaned',\n",
" 'Votes_Cleaned',\n",
" 'Reviews_Cleaned',\n",
" 'Delivery_Time']"
]
},
"metadata": {
"tags": []
},
"execution_count": 11
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "mYmBV-uYhZQJ",
"colab_type": "code",
"outputId": "c10737e6-c375-4afc-f33c-8be2f9d75a41",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 419
}
},
"source": [
"df"
],
"execution_count": 12,
"outputs": [
{
"output_type": "execute_result",
"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>Restaurant</th>\n",
" <th>Location_Feature_1</th>\n",
" <th>Cuisines_Feature_1</th>\n",
" <th>Average_Cost_Cleaned</th>\n",
" <th>Minimum_Order_Cleaned</th>\n",
" <th>Rating_Cleaned</th>\n",
" <th>Votes_Cleaned</th>\n",
" <th>Reviews_Cleaned</th>\n",
" <th>Delivery_Time</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>7898</th>\n",
" <td>ID_7618</td>\n",
" <td>mico layout</td>\n",
" <td>bakery</td>\n",
" <td>150</td>\n",
" <td>50</td>\n",
" <td>3.20000</td>\n",
" <td>19</td>\n",
" <td>8</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4082</th>\n",
" <td>ID_5074</td>\n",
" <td>delhi high court</td>\n",
" <td>bakery</td>\n",
" <td>200</td>\n",
" <td>50</td>\n",
" <td>3.80000</td>\n",
" <td>231</td>\n",
" <td>139</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9433</th>\n",
" <td>ID_1762</td>\n",
" <td>mico layout</td>\n",
" <td>chinese</td>\n",
" <td>100</td>\n",
" <td>50</td>\n",
" <td>3.50000</td>\n",
" <td>16</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>937</th>\n",
" <td>ID_1209</td>\n",
" <td>delhi cantt.</td>\n",
" <td>cafe</td>\n",
" <td>250</td>\n",
" <td>50</td>\n",
" <td>2.60000</td>\n",
" <td>41</td>\n",
" <td>19</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3154</th>\n",
" <td>ID_3475</td>\n",
" <td>mico layout</td>\n",
" <td>north indian</td>\n",
" <td>300</td>\n",
" <td>50</td>\n",
" <td>3.80000</td>\n",
" <td>94</td>\n",
" <td>46</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1099</th>\n",
" <td>ID_163</td>\n",
" <td>rmz centennial</td>\n",
" <td>lebanese</td>\n",
" <td>100</td>\n",
" <td>50</td>\n",
" <td>3.70000</td>\n",
" <td>26</td>\n",
" <td>6</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2514</th>\n",
" <td>ID_1997</td>\n",
" <td>yerawada</td>\n",
" <td>north indian</td>\n",
" <td>200</td>\n",
" <td>50</td>\n",
" <td>3.00000</td>\n",
" <td>35</td>\n",
" <td>8</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6637</th>\n",
" <td>ID_8383</td>\n",
" <td>d-block</td>\n",
" <td>north indian</td>\n",
" <td>200</td>\n",
" <td>50</td>\n",
" <td>3.70000</td>\n",
" <td>95</td>\n",
" <td>62</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2575</th>\n",
" <td>ID_5321</td>\n",
" <td>majestic</td>\n",
" <td>biryani</td>\n",
" <td>100</td>\n",
" <td>50</td>\n",
" <td>2.50000</td>\n",
" <td>23</td>\n",
" <td>16</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7336</th>\n",
" <td>ID_663</td>\n",
" <td>nathan road</td>\n",
" <td>bakery</td>\n",
" <td>100</td>\n",
" <td>50</td>\n",
" <td>3.61346</td>\n",
" <td>244</td>\n",
" <td>123</td>\n",
" <td>3</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>9984 rows × 9 columns</p>\n",
"</div>"
],
"text/plain": [
" Restaurant Location_Feature_1 ... Reviews_Cleaned Delivery_Time\n",
"7898 ID_7618 mico layout ... 8 5\n",
"4082 ID_5074 delhi high court ... 139 4\n",
"9433 ID_1762 mico layout ... 2 3\n",
"937 ID_1209 delhi cantt. ... 19 4\n",
"3154 ID_3475 mico layout ... 46 3\n",
"... ... ... ... ... ...\n",
"1099 ID_163 rmz centennial ... 6 3\n",
"2514 ID_1997 yerawada ... 8 4\n",
"6637 ID_8383 d-block ... 62 5\n",
"2575 ID_5321 majestic ... 16 3\n",
"7336 ID_663 nathan road ... 123 3\n",
"\n",
"[9984 rows x 9 columns]"
]
},
"metadata": {
"tags": []
},
"execution_count": 12
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "YYFNDHYXhehc",
"colab_type": "text"
},
"source": [
"Now let's transform the entire dataset.\n"
]
},
{
"cell_type": "code",
"metadata": {
"id": "5ZqW1ZCmhE5j",
"colab_type": "code",
"colab": {}
},
"source": [
"# Convert dataset to tf.Example protos\n",
"examples = df_to_examples(df)\n",
"\n",
"#Create feature spec for the data\n",
"feature_spec = create_feature_spec(df, features_and_labels)\n",
"\n",
"#Creating input features from training set \n",
"train_inpf = functools.partial(tfexamples_input_fn, examples, feature_spec, label_column)"
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "C-ueqA6TY2jn",
"colab_type": "code",
"outputId": "a8837cd3-970f-413f-81fd-e114aa995691",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
}
},
"source": [
"examples[0]"
],
"execution_count": 14,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"features {\n",
" feature {\n",
" key: \"Average_Cost_Cleaned\"\n",
" value {\n",
" int64_list {\n",
" value: 150\n",
" }\n",
" }\n",
" }\n",
" feature {\n",
" key: \"Cuisines_Feature_1\"\n",
" value {\n",
" bytes_list {\n",
" value: \"bakery\"\n",
" }\n",
" }\n",
" }\n",
" feature {\n",
" key: \"Delivery_Time\"\n",
" value {\n",
" int64_list {\n",
" value: 5\n",
" }\n",
" }\n",
" }\n",
" feature {\n",
" key: \"Location_Feature_1\"\n",
" value {\n",
" bytes_list {\n",
" value: \"mico layout\"\n",
" }\n",
" }\n",
" }\n",
" feature {\n",
" key: \"Minimum_Order_Cleaned\"\n",
" value {\n",
" int64_list {\n",
" value: 50\n",
" }\n",
" }\n",
" }\n",
" feature {\n",
" key: \"Rating_Cleaned\"\n",
" value {\n",
" float_list {\n",
" value: 3.200000047683716\n",
" }\n",
" }\n",
" }\n",
" feature {\n",
" key: \"Restaurant\"\n",
" value {\n",
" bytes_list {\n",
" value: \"ID_7618\"\n",
" }\n",
" }\n",
" }\n",
" feature {\n",
" key: \"Reviews_Cleaned\"\n",
" value {\n",
" int64_list {\n",
" value: 8\n",
" }\n",
" }\n",
" }\n",
" feature {\n",
" key: \"Votes_Cleaned\"\n",
" value {\n",
" int64_list {\n",
" value: 19\n",
" }\n",
" }\n",
" }\n",
"}"
]
},
"metadata": {
"tags": []
},
"execution_count": 14
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "yrHMTsMoi_ON",
"colab_type": "code",
"outputId": "fd5e94ff-1fe8-4986-b278-d0ea818edd09",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 170
}
},
"source": [
"feature_spec"
],
"execution_count": 15,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"{'Average_Cost_Cleaned': FixedLenFeature(shape=(), dtype=tf.int64, default_value=None),\n",
" 'Cuisines_Feature_1': FixedLenFeature(shape=(), dtype=tf.string, default_value=None),\n",
" 'Delivery_Time': FixedLenFeature(shape=(), dtype=tf.int64, default_value=None),\n",
" 'Location_Feature_1': FixedLenFeature(shape=(), dtype=tf.string, default_value=None),\n",
" 'Minimum_Order_Cleaned': FixedLenFeature(shape=(), dtype=tf.int64, default_value=None),\n",
" 'Rating_Cleaned': FixedLenFeature(shape=(), dtype=tf.float32, default_value=None),\n",
" 'Restaurant': FixedLenFeature(shape=(), dtype=tf.string, default_value=None),\n",
" 'Reviews_Cleaned': FixedLenFeature(shape=(), dtype=tf.int64, default_value=None),\n",
" 'Votes_Cleaned': FixedLenFeature(shape=(), dtype=tf.int64, default_value=None)}"
]
},
"metadata": {
"tags": []
},
"execution_count": 15
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "yN4BdYCXham9",
"colab_type": "text"
},
"source": [
"### Creating Classifiers And Training\n"
]
},
{
"cell_type": "code",
"metadata": {
"id": "phSsfeLNhVqY",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"outputId": "6ab864d4-d58c-49a0-e29f-33c00cd7bdd2"
},
"source": [
"# LINEAR CLASSIFIER\n",
"\n",
"# Set the number of training steps\n",
"num_steps = 1500\n",
"\n",
"# A logger for logging the training data\n",
"tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.DEBUG)\n",
"\n",
"# Defining the classifier\n",
"classifier = tf.estimator.LinearClassifier(\n",
" feature_columns=create_feature_columns(input_features, feature_spec), n_classes=7)\n",
"\n",
"# Training the classifier \n",
"classifier.train(train_inpf, steps=num_steps)"
],
"execution_count": 16,
"outputs": [
{
"output_type": "stream",
"text": [
"INFO:tensorflow:Using default config.\n",
"WARNING:tensorflow:Using temporary folder as model directory: /tmp/tmpuxveqctz\n",
"INFO:tensorflow:Using config: {'_model_dir': '/tmp/tmpuxveqctz', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': None, '_save_checkpoints_secs': 600, '_session_config': allow_soft_placement: true\n",
"graph_options {\n",
" rewrite_options {\n",
" meta_optimizer_iterations: ONE\n",
" }\n",
"}\n",
", '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': 100, '_train_distribute': None, '_device_fn': None, '_protocol': None, '_eval_distribute': None, '_experimental_distribute': None, '_experimental_max_worker_delay_secs': None, '_session_creation_timeout_secs': 7200, '_service': None, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7fbada412978>, '_task_type': 'worker', '_task_id': 0, '_global_id_in_cluster': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1}\n",
"WARNING:tensorflow:From /tensorflow-2.0.0/python3.6/tensorflow_core/python/ops/resource_variable_ops.py:1630: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"If using Keras pass *_constraint arguments to layers.\n",
"WARNING:tensorflow:From /tensorflow-2.0.0/python3.6/tensorflow_core/python/training/training_util.py:236: Variable.initialized_value (from tensorflow.python.ops.variables) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Use Variable.read_value. Variables in 2.X are initialized automatically both in eager and graph (inside tf.defun) contexts.\n",
"INFO:tensorflow:Calling model_fn.\n",
"WARNING:tensorflow:From /tensorflow-2.0.0/python3.6/tensorflow_core/python/feature_column/feature_column_v2.py:518: Layer.add_variable (from tensorflow.python.keras.engine.base_layer) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Please use `layer.add_weight` method instead.\n",
"DEBUG:tensorflow:Transforming feature_column NumericColumn(key='Average_Cost_Cleaned', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None).\n",
"DEBUG:tensorflow:Transforming feature_column IndicatorColumn(categorical_column=VocabularyListCategoricalColumn(key='Cuisines_Feature_1', vocabulary_list=('bakery', 'chinese', 'cafe', 'north indian', 'south indian', 'fast food', 'pizza', 'malaysian', 'desserts', 'biryani', 'italian', 'parsi', 'burger', 'street food', 'rolls', 'asian', 'sandwich', 'maharashtrian', 'thai', 'mithai', 'salad', 'vietnamese', 'beverages', 'healthy food', 'finger food', 'continental', 'mangalorean', 'momos', 'german', 'mughlai', 'paan', 'ice cream', 'tibetan', 'bbq', 'arabian', 'japanese', 'rajasthani', 'andhra', 'seafood', 'sushi', 'mishti', 'mexican', 'kerala', 'juices', 'modern indian', 'bengali', 'european', 'bar food', 'tea', 'iranian', 'north eastern', 'raw meats', 'hyderabadi', 'american', 'korean', 'wraps', 'coffee', 'lebanese', 'awadhi', 'kebab', 'mediterranean', 'afghan', 'bihari', 'brazilian', 'portuguese', 'gujarati', 'tamil', 'malwani', 'konkan', 'odia', 'frozen yogurt', 'naga', 'turkish', 'lucknowi', 'goan', 'assamese', 'african', 'middle eastern', 'kashmiri', 'french', 'indian', 'chettinad', 'hot dogs', 'bohri'), dtype=tf.string, default_value=-1, num_oov_buckets=0)).\n",
"DEBUG:tensorflow:Transforming feature_column VocabularyListCategoricalColumn(key='Cuisines_Feature_1', vocabulary_list=('bakery', 'chinese', 'cafe', 'north indian', 'south indian', 'fast food', 'pizza', 'malaysian', 'desserts', 'biryani', 'italian', 'parsi', 'burger', 'street food', 'rolls', 'asian', 'sandwich', 'maharashtrian', 'thai', 'mithai', 'salad', 'vietnamese', 'beverages', 'healthy food', 'finger food', 'continental', 'mangalorean', 'momos', 'german', 'mughlai', 'paan', 'ice cream', 'tibetan', 'bbq', 'arabian', 'japanese', 'rajasthani', 'andhra', 'seafood', 'sushi', 'mishti', 'mexican', 'kerala', 'juices', 'modern indian', 'bengali', 'european', 'bar food', 'tea', 'iranian', 'north eastern', 'raw meats', 'hyderabadi', 'american', 'korean', 'wraps', 'coffee', 'lebanese', 'awadhi', 'kebab', 'mediterranean', 'afghan', 'bihari', 'brazilian', 'portuguese', 'gujarati', 'tamil', 'malwani', 'konkan', 'odia', 'frozen yogurt', 'naga', 'turkish', 'lucknowi', 'goan', 'assamese', 'african', 'middle eastern', 'kashmiri', 'french', 'indian', 'chettinad', 'hot dogs', 'bohri'), dtype=tf.string, default_value=-1, num_oov_buckets=0).\n",
"WARNING:tensorflow:From /tensorflow-2.0.0/python3.6/tensorflow_core/python/feature_column/feature_column_v2.py:4276: IndicatorColumn._variable_shape (from tensorflow.python.feature_column.feature_column_v2) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"The old _FeatureColumn APIs are being deprecated. Please use the new FeatureColumn APIs instead.\n",
"WARNING:tensorflow:From /tensorflow-2.0.0/python3.6/tensorflow_core/python/feature_column/feature_column_v2.py:4331: VocabularyListCategoricalColumn._num_buckets (from tensorflow.python.feature_column.feature_column_v2) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"The old _FeatureColumn APIs are being deprecated. Please use the new FeatureColumn APIs instead.\n",
"DEBUG:tensorflow:Transforming feature_column IndicatorColumn(categorical_column=VocabularyListCategoricalColumn(key='Location_Feature_1', vocabulary_list=('mico layout', 'delhi high court', 'delhi cantt.', 'mumbai central', 'dockyard road', 'hyderabad public school', 'babarpur', 'laxman vihar industrial area', 'majestic', 'nathan road', 'fti college', 'musi nagar', 'sandhurst road', 'd-block', 'pune university', 'sector 63a', 'delhi administration flats', 'delhi university-gtb nagar', 'sector 3', 'sector 1', 'rmz centennial', 'tejas nagar colony', 'mg road', 'yerawada', 'sector 14', 'gora bazar', 'noorkhan bazaar', 'raja bazar', 'chandni chowk', 'panjetan colony', 'jaya nagar', 'chatta bazaar', 'moulali', 'tiretti', 'btm layout 1'), dtype=tf.string, default_value=-1, num_oov_buckets=0)).\n",
"DEBUG:tensorflow:Transforming feature_column VocabularyListCategoricalColumn(key='Location_Feature_1', vocabulary_list=('mico layout', 'delhi high court', 'delhi cantt.', 'mumbai central', 'dockyard road', 'hyderabad public school', 'babarpur', 'laxman vihar industrial area', 'majestic', 'nathan road', 'fti college', 'musi nagar', 'sandhurst road', 'd-block', 'pune university', 'sector 63a', 'delhi administration flats', 'delhi university-gtb nagar', 'sector 3', 'sector 1', 'rmz centennial', 'tejas nagar colony', 'mg road', 'yerawada', 'sector 14', 'gora bazar', 'noorkhan bazaar', 'raja bazar', 'chandni chowk', 'panjetan colony', 'jaya nagar', 'chatta bazaar', 'moulali', 'tiretti', 'btm layout 1'), dtype=tf.string, default_value=-1, num_oov_buckets=0).\n",
"DEBUG:tensorflow:Transforming feature_column NumericColumn(key='Minimum_Order_Cleaned', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None).\n",
"DEBUG:tensorflow:Transforming feature_column NumericColumn(key='Rating_Cleaned', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None).\n",
"DEBUG:tensorflow:Transforming feature_column IndicatorColumn(categorical_column=VocabularyListCategoricalColumn(key='Restaurant', vocabulary_list=('ID_7618', 'ID_5074', 'ID_1762', 'ID_1209', 'ID_3475', 'ID_7530', 'ID_473', 'ID_4708', 'ID_6502', 'ID_1638', 'ID_3793', 'ID_4545', 'ID_5002', 'ID_4778', 'ID_5593', 'ID_506', 'ID_5489', 'ID_6738', 'ID_712', 'ID_8485', 'ID_773', 'ID_7575', 'ID_390', 'ID_4446', 'ID_3629', 'ID_6428', 'ID_5155', 'ID_164', 'ID_5191', 'ID_1733', 'ID_1870', 'ID_3693', 'ID_1787', 'ID_4202', 'ID_2928', 'ID_5065', 'ID_5766', 'ID_1136', 'ID_1789', 'ID_5459', 'ID_31', 'ID_4839', 'ID_745', 'ID_2193', 'ID_3591', 'ID_4578', 'ID_6531', 'ID_6352', 'ID_1546', 'ID_6223', 'ID_8420', 'ID_8496', 'ID_7750', 'ID_7132', 'ID_941', 'ID_7159', 'ID_8184', 'ID_5773', 'ID_2815', 'ID_6229', 'ID_2892', 'ID_7090', 'ID_2763', 'ID_6561', 'ID_7393', 'ID_2221', 'ID_7525', 'ID_6475', 'ID_4880', 'ID_2723', 'ID_8085', 'ID_3152', 'ID_6153', 'ID_6289', 'ID_7394', 'ID_2402', 'ID_2772', 'ID_4652', 'ID_2934', 'ID_5066', 'ID_7490', 'ID_3352', 'ID_8248', 'ID_7356', 'ID_3596', 'ID_4155', 'ID_2505', 'ID_1995', 'ID_4654', 'ID_7542', 'ID_5567', 'ID_3116', 'ID_6261', 'ID_5111', 'ID_7632', 'ID_8572', 'ID_2694', 'ID_5656', 'ID_4527', 'ID_6484', 'ID_5681', 'ID_7235', 'ID_4863', 'ID_7591', 'ID_3006', 'ID_4429', 'ID_7924', 'ID_5516', 'ID_7163', 'ID_577', 'ID_2811', 'ID_4360', 'ID_6774', 'ID_5665', 'ID_1260', 'ID_1426', 'ID_4444', 'ID_2929', 'ID_5602', 'ID_1422', 'ID_3431', 'ID_6322', 'ID_5122', 'ID_8170', 'ID_3332', 'ID_4176', 'ID_5067', 'ID_7683', 'ID_5446', 'ID_1771', 'ID_3454', 'ID_7711', 'ID_4501', 'ID_4091', 'ID_3457', 'ID_8430', 'ID_1849', 'ID_642', 'ID_1296', 'ID_7010', 'ID_5393', 'ID_6158', 'ID_3912', 'ID_4172', 'ID_4453', 'ID_3434', 'ID_5898', 'ID_5376', 'ID_6599', 'ID_6444', 'ID_1840', 'ID_6913', 'ID_7210', 'ID_1813', 'ID_299', 'ID_2376', 'ID_2194', 'ID_1008', 'ID_629', 'ID_2301', 'ID_6751', 'ID_4230', 'ID_6489', 'ID_5478', 'ID_8111', 'ID_3422', 'ID_5025', 'ID_2613', 'ID_7142', 'ID_498', 'ID_944', 'ID_3047', 'ID_3197', 'ID_714', 'ID_2464', 'ID_5720', 'ID_3674', 'ID_6840', 'ID_6154', 'ID_1752', 'ID_6163', 'ID_330', 'ID_691', 'ID_3462', 'ID_7544', 'ID_4512', 'ID_15', 'ID_7200', 'ID_7027', 'ID_6841', 'ID_5530', 'ID_6099', 'ID_2766', 'ID_8096', 'ID_4910', 'ID_1743', 'ID_7202', 'ID_6474', 'ID_3550', 'ID_7148', 'ID_4688', 'ID_6549', 'ID_112', 'ID_8066', 'ID_5012', 'ID_2162', 'ID_657', 'ID_2882', 'ID_6015', 'ID_2960', 'ID_1890', 'ID_4974', 'ID_249', 'ID_2718', 'ID_2185', 'ID_8536', 'ID_4716', 'ID_3834', 'ID_6170', 'ID_6544', 'ID_5321', 'ID_639', 'ID_1635', 'ID_7905', 'ID_8151', 'ID_888', 'ID_8106', 'ID_6864', 'ID_6906', 'ID_7299', 'ID_8237', 'ID_3588', 'ID_3712', 'ID_1256', 'ID_6273', 'ID_1240', 'ID_7007', 'ID_5301', 'ID_3459', 'ID_814', 'ID_7120', 'ID_5008', 'ID_8104', 'ID_436', 'ID_4817', 'ID_6618', 'ID_7713', 'ID_34', 'ID_6659', 'ID_896', 'ID_3413', 'ID_206', 'ID_2560', 'ID_4497', 'ID_838', 'ID_4182', 'ID_1555', 'ID_3452', 'ID_7139', 'ID_7323', 'ID_699', 'ID_6491', 'ID_7538', 'ID_6653', 'ID_4216', 'ID_7078', 'ID_2559', 'ID_3054', 'ID_6377', 'ID_2498', 'ID_2165', 'ID_417', 'ID_4414', 'ID_3395', 'ID_3392', 'ID_1799', 'ID_2984', 'ID_6951', 'ID_1156', 'ID_8596', 'ID_3416', 'ID_3895', 'ID_1736', 'ID_7654', 'ID_811', 'ID_7249', 'ID_7365', 'ID_8643', 'ID_387', 'ID_7743', 'ID_4352', 'ID_8208', 'ID_490', 'ID_6111', 'ID_6402', 'ID_8109', 'ID_4734', 'ID_342', 'ID_837', 'ID_397', 'ID_3733', 'ID_100', 'ID_5578', 'ID_2830', 'ID_6832', 'ID_7272', 'ID_8336', 'ID_7503', 'ID_4815', 'ID_1792', 'ID_7072', 'ID_2794', 'ID_8158', 'ID_2083', 'ID_2846', 'ID_244', 'ID_6462', 'ID_4955', 'ID_2684', 'ID_7302', 'ID_462', 'ID_5585', 'ID_495', 'ID_8525', 'ID_6846', 'ID_1670', 'ID_1263', 'ID_43', 'ID_6447', 'ID_7230', 'ID_178', 'ID_4292', 'ID_7833', 'ID_1254', 'ID_4873', 'ID_7884', 'ID_5267', 'ID_7312', 'ID_529', 'ID_3034', 'ID_1207', 'ID_694', 'ID_783', 'ID_4252', 'ID_3011', 'ID_7080', 'ID_3373', 'ID_4648', 'ID_1696', 'ID_3969', 'ID_4436', 'ID_5897', 'ID_2032', 'ID_5996', 'ID_4320', 'ID_6929', 'ID_4700', 'ID_6171', 'ID_3775', 'ID_3985', 'ID_5654', 'ID_2677', 'ID_5254', 'ID_3871', 'ID_389', 'ID_1034', 'ID_3194', 'ID_6142', 'ID_7558', 'ID_8187', 'ID_8581', 'ID_4271', 'ID_7024', 'ID_7564', 'ID_1570', 'ID_5062', 'ID_7281', 'ID_7468', 'ID_651', 'ID_3579', 'ID_7739', 'ID_8203', 'ID_6407', 'ID_5354', 'ID_1477', 'ID_3620', 'ID_1731', 'ID_7480', 'ID_3467', 'ID_71', 'ID_6375', 'ID_598', 'ID_7615', 'ID_3778', 'ID_7860', 'ID_270', 'ID_1257', 'ID_660', 'ID_6915', 'ID_6928', 'ID_5858', 'ID_5777', 'ID_4258', 'ID_3106', 'ID_5765', 'ID_617', 'ID_7588', 'ID_3592', 'ID_6839', 'ID_2139', 'ID_3242', 'ID_5554', 'ID_4686', 'ID_4254', 'ID_8648', 'ID_619', 'ID_2685', 'ID_7311', 'ID_3410', 'ID_6316', 'ID_2664', 'ID_6724', 'ID_5538', 'ID_179', 'ID_5231', 'ID_4892', 'ID_4305', 'ID_7342', 'ID_1140', 'ID_7803', 'ID_5937', 'ID_889', 'ID_6253', 'ID_2029', 'ID_2629', 'ID_1041', 'ID_273', 'ID_3113', 'ID_7726', 'ID_6769', 'ID_4528', 'ID_6122', 'ID_8438', 'ID_4493', 'ID_7951', 'ID_8323', 'ID_6424', 'ID_3626', 'ID_1548', 'ID_5775', 'ID_1519', 'ID_201', 'ID_744', 'ID_3343', 'ID_554', 'ID_1404', 'ID_5852', 'ID_7599', 'ID_3464', 'ID_5952', 'ID_7222', 'ID_2968', 'ID_5954', 'ID_2220', 'ID_1620', 'ID_4415', 'ID_5120', 'ID_4950', 'ID_3859', 'ID_7373', 'ID_1036', 'ID_8332', 'ID_670', 'ID_825', 'ID_599', 'ID_4369', 'ID_1031', 'ID_3480', 'ID_5237', 'ID_3425', 'ID_7894', 'ID_4725', 'ID_8045', 'ID_3466', 'ID_7441', 'ID_2509', 'ID_1940', 'ID_3846', 'ID_4203', 'ID_8108', 'ID_3426', 'ID_4559', 'ID_1309', 'ID_372', 'ID_8327', 'ID_3654', 'ID_7891', 'ID_449', 'ID_8320', 'ID_218', 'ID_1788', 'ID_1854', 'ID_6016', 'ID_2416', 'ID_689', 'ID_2422', 'ID_1322', 'ID_7048', 'ID_5802', 'ID_2231', 'ID_2727', 'ID_7440', 'ID_2851', 'ID_3075', 'ID_1661', 'ID_1639', 'ID_5461', 'ID_1726', 'ID_6945', 'ID_2439', 'ID_2814', 'ID_105', 'ID_5007', 'ID_348', 'ID_1071', 'ID_8008', 'ID_1911', 'ID_1243', 'ID_2750', 'ID_2588', 'ID_5704', 'ID_1997', 'ID_2141', 'ID_7212', 'ID_2254', 'ID_118', 'ID_176', 'ID_3042', 'ID_893', 'ID_7515', 'ID_6406', 'ID_337', 'ID_5200', 'ID_7501', 'ID_2725', 'ID_3117', 'ID_5410', 'ID_5787', 'ID_824', 'ID_6710', 'ID_5855', 'ID_6190', 'ID_1125', 'ID_236', 'ID_6750', 'ID_1769', 'ID_1825', 'ID_7656', 'ID_2470', 'ID_7271', 'ID_630', 'ID_7422', 'ID_3340', 'ID_5414', 'ID_6255', 'ID_1183', 'ID_7064', 'ID_6018', 'ID_6535', 'ID_7147', 'ID_3655', 'ID_3988', 'ID_7295', 'ID_4625', 'ID_435', 'ID_2325', 'ID_2946', 'ID_8201', 'ID_7754', 'ID_4662', 'ID_1150', 'ID_2452', 'ID_8328', 'ID_3745', 'ID_8278', 'ID_8020', 'ID_5129', 'ID_7619', 'ID_8174', 'ID_3600', 'ID_2187', 'ID_6247', 'ID_2551', 'ID_6921', 'ID_2435', 'ID_718', 'ID_4609', 'ID_2156', 'ID_596', 'ID_1430', 'ID_7723', 'ID_8054', 'ID_6706', 'ID_4485', 'ID_1939', 'ID_8450', 'ID_188', 'ID_5087', 'ID_3290', 'ID_5772', 'ID_2958', 'ID_667', 'ID_0', 'ID_6577', 'ID_2361', 'ID_4441', 'ID_28', 'ID_7089', 'ID_6399', 'ID_6004', 'ID_2071', 'ID_6880', 'ID_8042', 'ID_6511', 'ID_3584', 'ID_4169', 'ID_8357', 'ID_2733', 'ID_8292', 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'ID_232', 'ID_8463', 'ID_4137', 'ID_7853', 'ID_4619', 'ID_4127', 'ID_6526', 'ID_1131', 'ID_583', 'ID_2225', 'ID_2790', 'ID_1679', 'ID_1818', 'ID_7843', 'ID_1719', 'ID_536', 'ID_1272', 'ID_8548', 'ID_3572', 'ID_5798', 'ID_8019', 'ID_7715', 'ID_454', 'ID_2597', 'ID_6315', 'ID_1952', 'ID_2135', 'ID_181', 'ID_3221', 'ID_7536', 'ID_5076', 'ID_7955', 'ID_5503', 'ID_1105', 'ID_6629', 'ID_6427', 'ID_780', 'ID_5373', 'ID_4074', 'ID_6130', 'ID_6119', 'ID_8565', 'ID_1644', 'ID_7693', 'ID_8381', 'ID_8243', 'ID_1332', 'ID_3706', 'ID_7697', 'ID_1273', 'ID_3411', 'ID_702', 'ID_96', 'ID_3470', 'ID_4897', 'ID_6415', 'ID_993', 'ID_7349', 'ID_5099', 'ID_7297', 'ID_6100', 'ID_5136', 'ID_5632', 'ID_1174', 'ID_8346', 'ID_5217', 'ID_160', 'ID_7234', 'ID_7079', 'ID_4577', 'ID_3687', 'ID_666', 'ID_4143', 'ID_4680', 'ID_5895', 'ID_6224', 'ID_3296', 'ID_6072', 'ID_8291', 'ID_5315', 'ID_5276', 'ID_786', 'ID_5722', 'ID_6664', 'ID_4866', 'ID_6382', 'ID_4523', 'ID_3190', 'ID_5894', 'ID_1676', 'ID_3983', 'ID_6356', 'ID_5598', 'ID_5239', 'ID_4841', 'ID_7126', 'ID_6562', 'ID_1585', 'ID_3347', 'ID_3661', 'ID_4704', 'ID_6943', 'ID_3918', 'ID_6131', 'ID_2887', 'ID_7076', 'ID_7344', 'ID_4992', 'ID_6210', 'ID_931', 'ID_4338', 'ID_5224', 'ID_582', 'ID_5807', 'ID_3735', 'ID_4530', 'ID_3797', 'ID_4518', 'ID_6064', 'ID_2769', 'ID_721', 'ID_3274', 'ID_3057', 'ID_883', 'ID_6937', 'ID_8446', 'ID_6192', 'ID_4965', 'ID_2756', 'ID_3060', 'ID_2321', 'ID_6166', 'ID_4624', 'ID_3043', 'ID_1904', 'ID_7283', 'ID_2265', 'ID_4411', 'ID_2832', 'ID_7087', 'ID_6175', 'ID_3555', 'ID_3344', 'ID_4097', 'ID_2427', 'ID_163', 'ID_8383'), dtype=tf.string, default_value=-1, num_oov_buckets=0)).\n",
"DEBUG:tensorflow:Transforming feature_column VocabularyListCategoricalColumn(key='Restaurant', vocabulary_list=('ID_7618', 'ID_5074', 'ID_1762', 'ID_1209', 'ID_3475', 'ID_7530', 'ID_473', 'ID_4708', 'ID_6502', 'ID_1638', 'ID_3793', 'ID_4545', 'ID_5002', 'ID_4778', 'ID_5593', 'ID_506', 'ID_5489', 'ID_6738', 'ID_712', 'ID_8485', 'ID_773', 'ID_7575', 'ID_390', 'ID_4446', 'ID_3629', 'ID_6428', 'ID_5155', 'ID_164', 'ID_5191', 'ID_1733', 'ID_1870', 'ID_3693', 'ID_1787', 'ID_4202', 'ID_2928', 'ID_5065', 'ID_5766', 'ID_1136', 'ID_1789', 'ID_5459', 'ID_31', 'ID_4839', 'ID_745', 'ID_2193', 'ID_3591', 'ID_4578', 'ID_6531', 'ID_6352', 'ID_1546', 'ID_6223', 'ID_8420', 'ID_8496', 'ID_7750', 'ID_7132', 'ID_941', 'ID_7159', 'ID_8184', 'ID_5773', 'ID_2815', 'ID_6229', 'ID_2892', 'ID_7090', 'ID_2763', 'ID_6561', 'ID_7393', 'ID_2221', 'ID_7525', 'ID_6475', 'ID_4880', 'ID_2723', 'ID_8085', 'ID_3152', 'ID_6153', 'ID_6289', 'ID_7394', 'ID_2402', 'ID_2772', 'ID_4652', 'ID_2934', 'ID_5066', 'ID_7490', 'ID_3352', 'ID_8248', 'ID_7356', 'ID_3596', 'ID_4155', 'ID_2505', 'ID_1995', 'ID_4654', 'ID_7542', 'ID_5567', 'ID_3116', 'ID_6261', 'ID_5111', 'ID_7632', 'ID_8572', 'ID_2694', 'ID_5656', 'ID_4527', 'ID_6484', 'ID_5681', 'ID_7235', 'ID_4863', 'ID_7591', 'ID_3006', 'ID_4429', 'ID_7924', 'ID_5516', 'ID_7163', 'ID_577', 'ID_2811', 'ID_4360', 'ID_6774', 'ID_5665', 'ID_1260', 'ID_1426', 'ID_4444', 'ID_2929', 'ID_5602', 'ID_1422', 'ID_3431', 'ID_6322', 'ID_5122', 'ID_8170', 'ID_3332', 'ID_4176', 'ID_5067', 'ID_7683', 'ID_5446', 'ID_1771', 'ID_3454', 'ID_7711', 'ID_4501', 'ID_4091', 'ID_3457', 'ID_8430', 'ID_1849', 'ID_642', 'ID_1296', 'ID_7010', 'ID_5393', 'ID_6158', 'ID_3912', 'ID_4172', 'ID_4453', 'ID_3434', 'ID_5898', 'ID_5376', 'ID_6599', 'ID_6444', 'ID_1840', 'ID_6913', 'ID_7210', 'ID_1813', 'ID_299', 'ID_2376', 'ID_2194', 'ID_1008', 'ID_629', 'ID_2301', 'ID_6751', 'ID_4230', 'ID_6489', 'ID_5478', 'ID_8111', 'ID_3422', 'ID_5025', 'ID_2613', 'ID_7142', 'ID_498', 'ID_944', 'ID_3047', 'ID_3197', 'ID_714', 'ID_2464', 'ID_5720', 'ID_3674', 'ID_6840', 'ID_6154', 'ID_1752', 'ID_6163', 'ID_330', 'ID_691', 'ID_3462', 'ID_7544', 'ID_4512', 'ID_15', 'ID_7200', 'ID_7027', 'ID_6841', 'ID_5530', 'ID_6099', 'ID_2766', 'ID_8096', 'ID_4910', 'ID_1743', 'ID_7202', 'ID_6474', 'ID_3550', 'ID_7148', 'ID_4688', 'ID_6549', 'ID_112', 'ID_8066', 'ID_5012', 'ID_2162', 'ID_657', 'ID_2882', 'ID_6015', 'ID_2960', 'ID_1890', 'ID_4974', 'ID_249', 'ID_2718', 'ID_2185', 'ID_8536', 'ID_4716', 'ID_3834', 'ID_6170', 'ID_6544', 'ID_5321', 'ID_639', 'ID_1635', 'ID_7905', 'ID_8151', 'ID_888', 'ID_8106', 'ID_6864', 'ID_6906', 'ID_7299', 'ID_8237', 'ID_3588', 'ID_3712', 'ID_1256', 'ID_6273', 'ID_1240', 'ID_7007', 'ID_5301', 'ID_3459', 'ID_814', 'ID_7120', 'ID_5008', 'ID_8104', 'ID_436', 'ID_4817', 'ID_6618', 'ID_7713', 'ID_34', 'ID_6659', 'ID_896', 'ID_3413', 'ID_206', 'ID_2560', 'ID_4497', 'ID_838', 'ID_4182', 'ID_1555', 'ID_3452', 'ID_7139', 'ID_7323', 'ID_699', 'ID_6491', 'ID_7538', 'ID_6653', 'ID_4216', 'ID_7078', 'ID_2559', 'ID_3054', 'ID_6377', 'ID_2498', 'ID_2165', 'ID_417', 'ID_4414', 'ID_3395', 'ID_3392', 'ID_1799', 'ID_2984', 'ID_6951', 'ID_1156', 'ID_8596', 'ID_3416', 'ID_3895', 'ID_1736', 'ID_7654', 'ID_811', 'ID_7249', 'ID_7365', 'ID_8643', 'ID_387', 'ID_7743', 'ID_4352', 'ID_8208', 'ID_490', 'ID_6111', 'ID_6402', 'ID_8109', 'ID_4734', 'ID_342', 'ID_837', 'ID_397', 'ID_3733', 'ID_100', 'ID_5578', 'ID_2830', 'ID_6832', 'ID_7272', 'ID_8336', 'ID_7503', 'ID_4815', 'ID_1792', 'ID_7072', 'ID_2794', 'ID_8158', 'ID_2083', 'ID_2846', 'ID_244', 'ID_6462', 'ID_4955', 'ID_2684', 'ID_7302', 'ID_462', 'ID_5585', 'ID_495', 'ID_8525', 'ID_6846', 'ID_1670', 'ID_1263', 'ID_43', 'ID_6447', 'ID_7230', 'ID_178', 'ID_4292', 'ID_7833', 'ID_1254', 'ID_4873', 'ID_7884', 'ID_5267', 'ID_7312', 'ID_529', 'ID_3034', 'ID_1207', 'ID_694', 'ID_783', 'ID_4252', 'ID_3011', 'ID_7080', 'ID_3373', 'ID_4648', 'ID_1696', 'ID_3969', 'ID_4436', 'ID_5897', 'ID_2032', 'ID_5996', 'ID_4320', 'ID_6929', 'ID_4700', 'ID_6171', 'ID_3775', 'ID_3985', 'ID_5654', 'ID_2677', 'ID_5254', 'ID_3871', 'ID_389', 'ID_1034', 'ID_3194', 'ID_6142', 'ID_7558', 'ID_8187', 'ID_8581', 'ID_4271', 'ID_7024', 'ID_7564', 'ID_1570', 'ID_5062', 'ID_7281', 'ID_7468', 'ID_651', 'ID_3579', 'ID_7739', 'ID_8203', 'ID_6407', 'ID_5354', 'ID_1477', 'ID_3620', 'ID_1731', 'ID_7480', 'ID_3467', 'ID_71', 'ID_6375', 'ID_598', 'ID_7615', 'ID_3778', 'ID_7860', 'ID_270', 'ID_1257', 'ID_660', 'ID_6915', 'ID_6928', 'ID_5858', 'ID_5777', 'ID_4258', 'ID_3106', 'ID_5765', 'ID_617', 'ID_7588', 'ID_3592', 'ID_6839', 'ID_2139', 'ID_3242', 'ID_5554', 'ID_4686', 'ID_4254', 'ID_8648', 'ID_619', 'ID_2685', 'ID_7311', 'ID_3410', 'ID_6316', 'ID_2664', 'ID_6724', 'ID_5538', 'ID_179', 'ID_5231', 'ID_4892', 'ID_4305', 'ID_7342', 'ID_1140', 'ID_7803', 'ID_5937', 'ID_889', 'ID_6253', 'ID_2029', 'ID_2629', 'ID_1041', 'ID_273', 'ID_3113', 'ID_7726', 'ID_6769', 'ID_4528', 'ID_6122', 'ID_8438', 'ID_4493', 'ID_7951', 'ID_8323', 'ID_6424', 'ID_3626', 'ID_1548', 'ID_5775', 'ID_1519', 'ID_201', 'ID_744', 'ID_3343', 'ID_554', 'ID_1404', 'ID_5852', 'ID_7599', 'ID_3464', 'ID_5952', 'ID_7222', 'ID_2968', 'ID_5954', 'ID_2220', 'ID_1620', 'ID_4415', 'ID_5120', 'ID_4950', 'ID_3859', 'ID_7373', 'ID_1036', 'ID_8332', 'ID_670', 'ID_825', 'ID_599', 'ID_4369', 'ID_1031', 'ID_3480', 'ID_5237', 'ID_3425', 'ID_7894', 'ID_4725', 'ID_8045', 'ID_3466', 'ID_7441', 'ID_2509', 'ID_1940', 'ID_3846', 'ID_4203', 'ID_8108', 'ID_3426', 'ID_4559', 'ID_1309', 'ID_372', 'ID_8327', 'ID_3654', 'ID_7891', 'ID_449', 'ID_8320', 'ID_218', 'ID_1788', 'ID_1854', 'ID_6016', 'ID_2416', 'ID_689', 'ID_2422', 'ID_1322', 'ID_7048', 'ID_5802', 'ID_2231', 'ID_2727', 'ID_7440', 'ID_2851', 'ID_3075', 'ID_1661', 'ID_1639', 'ID_5461', 'ID_1726', 'ID_6945', 'ID_2439', 'ID_2814', 'ID_105', 'ID_5007', 'ID_348', 'ID_1071', 'ID_8008', 'ID_1911', 'ID_1243', 'ID_2750', 'ID_2588', 'ID_5704', 'ID_1997', 'ID_2141', 'ID_7212', 'ID_2254', 'ID_118', 'ID_176', 'ID_3042', 'ID_893', 'ID_7515', 'ID_6406', 'ID_337', 'ID_5200', 'ID_7501', 'ID_2725', 'ID_3117', 'ID_5410', 'ID_5787', 'ID_824', 'ID_6710', 'ID_5855', 'ID_6190', 'ID_1125', 'ID_236', 'ID_6750', 'ID_1769', 'ID_1825', 'ID_7656', 'ID_2470', 'ID_7271', 'ID_630', 'ID_7422', 'ID_3340', 'ID_5414', 'ID_6255', 'ID_1183', 'ID_7064', 'ID_6018', 'ID_6535', 'ID_7147', 'ID_3655', 'ID_3988', 'ID_7295', 'ID_4625', 'ID_435', 'ID_2325', 'ID_2946', 'ID_8201', 'ID_7754', 'ID_4662', 'ID_1150', 'ID_2452', 'ID_8328', 'ID_3745', 'ID_8278', 'ID_8020', 'ID_5129', 'ID_7619', 'ID_8174', 'ID_3600', 'ID_2187', 'ID_6247', 'ID_2551', 'ID_6921', 'ID_2435', 'ID_718', 'ID_4609', 'ID_2156', 'ID_596', 'ID_1430', 'ID_7723', 'ID_8054', 'ID_6706', 'ID_4485', 'ID_1939', 'ID_8450', 'ID_188', 'ID_5087', 'ID_3290', 'ID_5772', 'ID_2958', 'ID_667', 'ID_0', 'ID_6577', 'ID_2361', 'ID_4441', 'ID_28', 'ID_7089', 'ID_6399', 'ID_6004', 'ID_2071', 'ID_6880', 'ID_8042', 'ID_6511', 'ID_3584', 'ID_4169', 'ID_8357', 'ID_2733', 'ID_8292', 'ID_1192', 'ID_3966', 'ID_904', 'ID_2408', 'ID_5356', 'ID_960', 'ID_1577', 'ID_4220', 'ID_6468', 'ID_3897', 'ID_7674', 'ID_2920', 'ID_1946', 'ID_572', 'ID_5921', 'ID_3714', 'ID_2033', 'ID_6276', 'ID_2634', 'ID_1454', 'ID_2081', 'ID_1401', 'ID_5019', 'ID_6469', 'ID_8540', 'ID_6956', 'ID_4412', 'ID_3257', 'ID_4543', 'ID_8414', 'ID_6537', 'ID_7034', 'ID_1478', 'ID_6451', 'ID_7725', 'ID_1645', 'ID_5161', 'ID_7001', 'ID_8580', 'ID_2561', 'ID_8603', 'ID_8605', 'ID_4342', 'ID_1609', 'ID_1616', 'ID_7863', 'ID_6408', 'ID_3381', 'ID_3090', 'ID_5789', 'ID_4071', 'ID_4315', 'ID_7516', 'ID_1610', 'ID_7993', 'ID_3120', 'ID_5582', 'ID_1759', 'ID_4522', 'ID_6300', 'ID_7733', 'ID_8026', 'ID_7866', 'ID_6277', 'ID_6136', 'ID_8620', 'ID_1656', 'ID_4397', 'ID_7325', 'ID_6081', 'ID_5053', 'ID_6146', 'ID_2483', 'ID_2759', 'ID_3338', 'ID_7127', 'ID_6760', 'ID_2994', 'ID_710', 'ID_6325', 'ID_3093', 'ID_881', 'ID_6628', 'ID_2930', 'ID_4323', 'ID_5528', 'ID_8486', 'ID_1250', 'ID_7149', 'ID_7355', 'ID_5818', 'ID_6757', 'ID_847', 'ID_6061', 'ID_8552', 'ID_3734', 'ID_2276', 'ID_7981', 'ID_3313', 'ID_5302', 'ID_7548', 'ID_607', 'ID_6358', 'ID_6860', 'ID_4016', 'ID_6048', 'ID_3383', 'ID_4298', 'ID_1559', 'ID_2801', 'ID_8227', 'ID_5141', 'ID_6128', 'ID_5313', 'ID_2541', 'ID_5814', 'ID_2300', 'ID_948', 'ID_1664', 'ID_1423', 'ID_6825', 'ID_158', 'ID_3639', 'ID_5247', 'ID_3201', 'ID_6775', 'ID_3744', 'ID_2437', 'ID_7226', 'ID_4189', 'ID_8224', 'ID_3825', 'ID_1753', 'ID_4860', 'ID_6458', 'ID_442', 'ID_4738', 'ID_5011', 'ID_2487', 'ID_2982', 'ID_6967', 'ID_8506', 'ID_4502', 'ID_1005', 'ID_4532', 'ID_4158', 'ID_6785', 'ID_2617', 'ID_4669', 'ID_3191', 'ID_2919', 'ID_3472', 'ID_3703', 'ID_6895', 'ID_6010', 'ID_3573', 'ID_117', 'ID_5165', 'ID_788', 'ID_1922', 'ID_676', 'ID_1053', 'ID_2988', 'ID_7066', 'ID_6168', 'ID_3070', 'ID_4299', 'ID_5497', 'ID_1023', 'ID_4570', 'ID_1100', 'ID_7772', 'ID_1226', 'ID_8582', 'ID_99', 'ID_869', 'ID_172', 'ID_6285', 'ID_2940', 'ID_2728', 'ID_377', 'ID_1838', 'ID_245', 'ID_4916', 'ID_6249', 'ID_1014', 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'ID_6124', 'ID_132', 'ID_1685', 'ID_128', 'ID_6621', 'ID_810', 'ID_2701', 'ID_5869', 'ID_2863', 'ID_6617', 'ID_3289', 'ID_1929', 'ID_2011', 'ID_8145', 'ID_8173', 'ID_94', 'ID_7268', 'ID_1626', 'ID_6443', 'ID_6125', 'ID_5029', 'ID_5095', 'ID_7508', 'ID_7217', 'ID_5846', 'ID_1878', 'ID_6889', 'ID_8621', 'ID_7895', 'ID_7000', 'ID_7769', 'ID_3463', 'ID_2937', 'ID_7766', 'ID_1621', 'ID_6689', 'ID_7747', 'ID_6830', 'ID_2622', 'ID_2391', 'ID_2474', 'ID_8311', 'ID_2516', 'ID_7996', 'ID_4116', 'ID_2804', 'ID_2592', 'ID_5188', 'ID_2027', 'ID_6979', 'ID_991', 'ID_7185', 'ID_6240', 'ID_355', 'ID_5143', 'ID_5271', 'ID_6184', 'ID_2056', 'ID_6304', 'ID_262', 'ID_4515', 'ID_7049', 'ID_1239', 'ID_1705', 'ID_2395', 'ID_7639', 'ID_5604', 'ID_6057', 'ID_2362', 'ID_828', 'ID_5676', 'ID_4767', 'ID_4000', 'ID_7876', 'ID_124', 'ID_1603', 'ID_219', 'ID_4964', 'ID_5710', 'ID_3730', 'ID_8164', 'ID_1429', 'ID_5426', 'ID_5211', 'ID_5866', 'ID_4491', 'ID_4186', 'ID_8112', 'ID_6038', 'ID_4295', 'ID_1431', 'ID_5279', 'ID_4428', 'ID_2021', 'ID_8408', 'ID_3449', 'ID_1483', 'ID_4183', 'ID_2683', 'ID_6019', 'ID_5229', 'ID_1245', 'ID_4205', 'ID_2320', 'ID_5036', 'ID_122', 'ID_4319', 'ID_4754', 'ID_8277', 'ID_3267', 'ID_6975', 'ID_3764', 'ID_3844', 'ID_7979', 'ID_6374', 'ID_602', 'ID_1310', 'ID_5576', 'ID_2299', 'ID_2080', 'ID_7369', 'ID_3866', 'ID_7383', 'ID_3228', 'ID_6287', 'ID_180', 'ID_3566', 'ID_5399', 'ID_4424', 'ID_6630', 'ID_8419', 'ID_4948', 'ID_5466', 'ID_6199', 'ID_6383', 'ID_652', 'ID_3669', 'ID_6887', 'ID_8136', 'ID_513', 'ID_5151', 'ID_5780', 'ID_992', 'ID_1297', 'ID_7666', 'ID_3828', 'ID_3089', 'ID_3164', 'ID_281', 'ID_5117', 'ID_1440', 'ID_7571', 'ID_4460', 'ID_203', 'ID_8590', 'ID_1193', 'ID_7780', 'ID_4834', 'ID_1096', 'ID_3053', 'ID_422', 'ID_2556', 'ID_439', 'ID_4443', 'ID_1797', 'ID_3860', 'ID_3360', 'ID_5647', 'ID_7229', 'ID_3266', 'ID_8398', 'ID_1817', 'ID_5284', 'ID_4678', 'ID_4027', 'ID_4476', 'ID_5115', 'ID_6430', 'ID_4445', 'ID_1802', 'ID_7842', 'ID_2397', 'ID_4396', 'ID_4684', 'ID_6713', 'ID_723', 'ID_1294', 'ID_885', 'ID_3509', 'ID_3253', 'ID_2526', 'ID_7122', 'ID_6280', 'ID_467', 'ID_8283', 'ID_8655', 'ID_3666', 'ID_6291', 'ID_591', 'ID_5783', 'ID_6863', 'ID_4823', 'ID_7093', 'ID_3524', 'ID_6606', 'ID_664', 'ID_5709', 'ID_6548', 'ID_8429', 'ID_3424', 'ID_4720', 'ID_3024', 'ID_4153', 'ID_6778', 'ID_4966', 'ID_3213', 'ID_6132', 'ID_8070', 'ID_211', 'ID_5395', 'ID_5450', 'ID_1222', 'ID_3982', 'ID_8116', 'ID_2076', 'ID_5402', 'ID_7641', 'ID_5610', 'ID_3001', 'ID_5624', 'ID_5751', 'ID_6584', 'ID_7004', 'ID_519', 'ID_6673', 'ID_7117', 'ID_2047', 'ID_7385', 'ID_1392', 'ID_8265', 'ID_1533', 'ID_7318', 'ID_1628', 'ID_4925', 'ID_4952', 'ID_5713', 'ID_7764', 'ID_2178', 'ID_6307', 'ID_2594', 'ID_3440', 'ID_1088', 'ID_5469', 'ID_1879', 'ID_2745', 'ID_4015', 'ID_5686', 'ID_6954', 'ID_973', 'ID_6518', 'ID_4944', 'ID_1366', 'ID_4727', 'ID_1439', 'ID_679', 'ID_5951', 'ID_3275', 'ID_5094', 'ID_6337', 'ID_3924', 'ID_1220', 'ID_5102', 'ID_3648', 'ID_440', 'ID_6752', 'ID_87', 'ID_5930', 'ID_8360', 'ID_1029', 'ID_6624', 'ID_4275', 'ID_2521', 'ID_4236', 'ID_1416', 'ID_974', 'ID_5411', 'ID_4751', 'ID_2401', 'ID_6420', 'ID_32', 'ID_1396', 'ID_3497', 'ID_681', 'ID_5848', 'ID_2788', 'ID_2348', 'ID_5492', 'ID_4794', 'ID_2238', 'ID_7990', 'ID_5005', 'ID_7033', 'ID_7012', 'ID_3143', 'ID_3792', 'ID_7176', 'ID_4358', 'ID_7988', 'ID_4979', 'ID_5073', 'ID_4410', 'ID_6947', 'ID_3832', 'ID_4269', 'ID_2877', 'ID_1298', 'ID_2904', 'ID_762', 'ID_4994', 'ID_8619', 'ID_7597', 'ID_8165', 'ID_878', 'ID_6344', 'ID_4078', 'ID_530', 'ID_97', 'ID_6088', 'ID_1082', 'ID_6334', 'ID_1231', 'ID_1420', 'ID_3210', 'ID_8487', 'ID_5482', 'ID_1070', 'ID_450', 'ID_3910', 'ID_2095', 'ID_6726', 'ID_8549', 'ID_7364', 'ID_4075', 'ID_2214', 'ID_1667', 'ID_3171', 'ID_4915', 'ID_1560', 'ID_3842', 'ID_3460', 'ID_3740', 'ID_5121', 'ID_4139', 'ID_3063', 'ID_3521', 'ID_1908', 'ID_1858', 'ID_4534', 'ID_465', 'ID_3153', 'ID_8504', 'ID_6231', 'ID_6296', 'ID_196', 'ID_232', 'ID_8463', 'ID_4137', 'ID_7853', 'ID_4619', 'ID_4127', 'ID_6526', 'ID_1131', 'ID_583', 'ID_2225', 'ID_2790', 'ID_1679', 'ID_1818', 'ID_7843', 'ID_1719', 'ID_536', 'ID_1272', 'ID_8548', 'ID_3572', 'ID_5798', 'ID_8019', 'ID_7715', 'ID_454', 'ID_2597', 'ID_6315', 'ID_1952', 'ID_2135', 'ID_181', 'ID_3221', 'ID_7536', 'ID_5076', 'ID_7955', 'ID_5503', 'ID_1105', 'ID_6629', 'ID_6427', 'ID_780', 'ID_5373', 'ID_4074', 'ID_6130', 'ID_6119', 'ID_8565', 'ID_1644', 'ID_7693', 'ID_8381', 'ID_8243', 'ID_1332', 'ID_3706', 'ID_7697', 'ID_1273', 'ID_3411', 'ID_702', 'ID_96', 'ID_3470', 'ID_4897', 'ID_6415', 'ID_993', 'ID_7349', 'ID_5099', 'ID_7297', 'ID_6100', 'ID_5136', 'ID_5632', 'ID_1174', 'ID_8346', 'ID_5217', 'ID_160', 'ID_7234', 'ID_7079', 'ID_4577', 'ID_3687', 'ID_666', 'ID_4143', 'ID_4680', 'ID_5895', 'ID_6224', 'ID_3296', 'ID_6072', 'ID_8291', 'ID_5315', 'ID_5276', 'ID_786', 'ID_5722', 'ID_6664', 'ID_4866', 'ID_6382', 'ID_4523', 'ID_3190', 'ID_5894', 'ID_1676', 'ID_3983', 'ID_6356', 'ID_5598', 'ID_5239', 'ID_4841', 'ID_7126', 'ID_6562', 'ID_1585', 'ID_3347', 'ID_3661', 'ID_4704', 'ID_6943', 'ID_3918', 'ID_6131', 'ID_2887', 'ID_7076', 'ID_7344', 'ID_4992', 'ID_6210', 'ID_931', 'ID_4338', 'ID_5224', 'ID_582', 'ID_5807', 'ID_3735', 'ID_4530', 'ID_3797', 'ID_4518', 'ID_6064', 'ID_2769', 'ID_721', 'ID_3274', 'ID_3057', 'ID_883', 'ID_6937', 'ID_8446', 'ID_6192', 'ID_4965', 'ID_2756', 'ID_3060', 'ID_2321', 'ID_6166', 'ID_4624', 'ID_3043', 'ID_1904', 'ID_7283', 'ID_2265', 'ID_4411', 'ID_2832', 'ID_7087', 'ID_6175', 'ID_3555', 'ID_3344', 'ID_4097', 'ID_2427', 'ID_163', 'ID_8383'), dtype=tf.string, default_value=-1, num_oov_buckets=0).\n",
"DEBUG:tensorflow:Transforming feature_column NumericColumn(key='Reviews_Cleaned', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None).\n",
"DEBUG:tensorflow:Transforming feature_column NumericColumn(key='Votes_Cleaned', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None).\n",
"WARNING:tensorflow:From /tensorflow-2.0.0/python3.6/tensorflow_estimator/python/estimator/canned/linear.py:308: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Use `tf.cast` instead.\n",
"WARNING:tensorflow:From /tensorflow-2.0.0/python3.6/tensorflow_core/python/keras/optimizer_v2/ftrl.py:143: calling Constant.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Call initializer instance with the dtype argument instead of passing it to the constructor\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Create CheckpointSaverHook.\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Saving checkpoints for 0 into /tmp/tmpuxveqctz/model.ckpt.\n",
"INFO:tensorflow:loss = 1.9459102, step = 0\n",
"INFO:tensorflow:global_step/sec: 89.6877\n",
"INFO:tensorflow:loss = 7.5034914, step = 100 (1.119 sec)\n",
"INFO:tensorflow:global_step/sec: 104.628\n",
"INFO:tensorflow:loss = 5.5671473, step = 200 (0.957 sec)\n",
"INFO:tensorflow:global_step/sec: 97.479\n",
"INFO:tensorflow:loss = 3.5661647, step = 300 (1.024 sec)\n",
"INFO:tensorflow:global_step/sec: 100.028\n",
"INFO:tensorflow:loss = 4.274407, step = 400 (0.998 sec)\n",
"INFO:tensorflow:global_step/sec: 100.501\n",
"INFO:tensorflow:loss = 1.7366283, step = 500 (0.995 sec)\n",
"INFO:tensorflow:global_step/sec: 97.2943\n",
"INFO:tensorflow:loss = 1.5067494, step = 600 (1.031 sec)\n",
"INFO:tensorflow:global_step/sec: 99.9769\n",
"INFO:tensorflow:loss = 4.7575536, step = 700 (0.997 sec)\n",
"INFO:tensorflow:global_step/sec: 102.612\n",
"INFO:tensorflow:loss = 2.9762158, step = 800 (0.978 sec)\n",
"INFO:tensorflow:global_step/sec: 99.5325\n",
"INFO:tensorflow:loss = 1.6774178, step = 900 (1.005 sec)\n",
"INFO:tensorflow:global_step/sec: 99.3673\n",
"INFO:tensorflow:loss = 1.9167039, step = 1000 (1.003 sec)\n",
"INFO:tensorflow:global_step/sec: 98.6649\n",
"INFO:tensorflow:loss = 3.7395134, step = 1100 (1.013 sec)\n",
"INFO:tensorflow:global_step/sec: 102.586\n",
"INFO:tensorflow:loss = 1.1321955, step = 1200 (0.975 sec)\n",
"INFO:tensorflow:global_step/sec: 103.417\n",
"INFO:tensorflow:loss = 0.9496197, step = 1300 (0.967 sec)\n",
"INFO:tensorflow:global_step/sec: 101.181\n",
"INFO:tensorflow:loss = 3.196165, step = 1400 (0.991 sec)\n",
"INFO:tensorflow:Saving checkpoints for 1500 into /tmp/tmpuxveqctz/model.ckpt.\n",
"INFO:tensorflow:Loss for final step: 2.529687.\n"
],
"name": "stdout"
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<tensorflow_estimator.python.estimator.canned.linear.LinearClassifierV2 at 0x7fbada412278>"
]
},
"metadata": {
"tags": []
},
"execution_count": 16
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "XKPui39lhVnW",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"outputId": "e4660174-f5c9-408d-b78b-e14696aaca0a"
},
"source": [
"# DNN CLASSIFIER\n",
"\n",
"# Logging the training process\n",
"tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.DEBUG)\n",
"\n",
"#Setting the number of steps\n",
"num_steps_2 = 1500 \n",
"\n",
"#Defining a DNN classifier\n",
"classifier2 = tf.estimator.DNNClassifier(\n",
" feature_columns=create_feature_columns(input_features, feature_spec),\n",
" hidden_units=[128, 64, 32], n_classes=7)\n",
"\n",
"#Training the DNN classifier\n",
"classifier2.train(train_inpf, steps=num_steps_2)"
],
"execution_count": 17,
"outputs": [
{
"output_type": "stream",
"text": [
"INFO:tensorflow:Using default config.\n",
"WARNING:tensorflow:Using temporary folder as model directory: /tmp/tmp5wvp96jm\n",
"INFO:tensorflow:Using config: {'_model_dir': '/tmp/tmp5wvp96jm', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': None, '_save_checkpoints_secs': 600, '_session_config': allow_soft_placement: true\n",
"graph_options {\n",
" rewrite_options {\n",
" meta_optimizer_iterations: ONE\n",
" }\n",
"}\n",
", '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': 100, '_train_distribute': None, '_device_fn': None, '_protocol': None, '_eval_distribute': None, '_experimental_distribute': None, '_experimental_max_worker_delay_secs': None, '_session_creation_timeout_secs': 7200, '_service': None, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7fbada412748>, '_task_type': 'worker', '_task_id': 0, '_global_id_in_cluster': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1}\n",
"INFO:tensorflow:Calling model_fn.\n",
"DEBUG:tensorflow:Transforming feature_column NumericColumn(key='Average_Cost_Cleaned', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None).\n",
"DEBUG:tensorflow:Transforming feature_column IndicatorColumn(categorical_column=VocabularyListCategoricalColumn(key='Cuisines_Feature_1', vocabulary_list=('bakery', 'chinese', 'cafe', 'north indian', 'south indian', 'fast food', 'pizza', 'malaysian', 'desserts', 'biryani', 'italian', 'parsi', 'burger', 'street food', 'rolls', 'asian', 'sandwich', 'maharashtrian', 'thai', 'mithai', 'salad', 'vietnamese', 'beverages', 'healthy food', 'finger food', 'continental', 'mangalorean', 'momos', 'german', 'mughlai', 'paan', 'ice cream', 'tibetan', 'bbq', 'arabian', 'japanese', 'rajasthani', 'andhra', 'seafood', 'sushi', 'mishti', 'mexican', 'kerala', 'juices', 'modern indian', 'bengali', 'european', 'bar food', 'tea', 'iranian', 'north eastern', 'raw meats', 'hyderabadi', 'american', 'korean', 'wraps', 'coffee', 'lebanese', 'awadhi', 'kebab', 'mediterranean', 'afghan', 'bihari', 'brazilian', 'portuguese', 'gujarati', 'tamil', 'malwani', 'konkan', 'odia', 'frozen yogurt', 'naga', 'turkish', 'lucknowi', 'goan', 'assamese', 'african', 'middle eastern', 'kashmiri', 'french', 'indian', 'chettinad', 'hot dogs', 'bohri'), dtype=tf.string, default_value=-1, num_oov_buckets=0)).\n",
"DEBUG:tensorflow:Transforming feature_column VocabularyListCategoricalColumn(key='Cuisines_Feature_1', vocabulary_list=('bakery', 'chinese', 'cafe', 'north indian', 'south indian', 'fast food', 'pizza', 'malaysian', 'desserts', 'biryani', 'italian', 'parsi', 'burger', 'street food', 'rolls', 'asian', 'sandwich', 'maharashtrian', 'thai', 'mithai', 'salad', 'vietnamese', 'beverages', 'healthy food', 'finger food', 'continental', 'mangalorean', 'momos', 'german', 'mughlai', 'paan', 'ice cream', 'tibetan', 'bbq', 'arabian', 'japanese', 'rajasthani', 'andhra', 'seafood', 'sushi', 'mishti', 'mexican', 'kerala', 'juices', 'modern indian', 'bengali', 'european', 'bar food', 'tea', 'iranian', 'north eastern', 'raw meats', 'hyderabadi', 'american', 'korean', 'wraps', 'coffee', 'lebanese', 'awadhi', 'kebab', 'mediterranean', 'afghan', 'bihari', 'brazilian', 'portuguese', 'gujarati', 'tamil', 'malwani', 'konkan', 'odia', 'frozen yogurt', 'naga', 'turkish', 'lucknowi', 'goan', 'assamese', 'african', 'middle eastern', 'kashmiri', 'french', 'indian', 'chettinad', 'hot dogs', 'bohri'), dtype=tf.string, default_value=-1, num_oov_buckets=0).\n",
"DEBUG:tensorflow:Transforming feature_column IndicatorColumn(categorical_column=VocabularyListCategoricalColumn(key='Location_Feature_1', vocabulary_list=('mico layout', 'delhi high court', 'delhi cantt.', 'mumbai central', 'dockyard road', 'hyderabad public school', 'babarpur', 'laxman vihar industrial area', 'majestic', 'nathan road', 'fti college', 'musi nagar', 'sandhurst road', 'd-block', 'pune university', 'sector 63a', 'delhi administration flats', 'delhi university-gtb nagar', 'sector 3', 'sector 1', 'rmz centennial', 'tejas nagar colony', 'mg road', 'yerawada', 'sector 14', 'gora bazar', 'noorkhan bazaar', 'raja bazar', 'chandni chowk', 'panjetan colony', 'jaya nagar', 'chatta bazaar', 'moulali', 'tiretti', 'btm layout 1'), dtype=tf.string, default_value=-1, num_oov_buckets=0)).\n",
"DEBUG:tensorflow:Transforming feature_column VocabularyListCategoricalColumn(key='Location_Feature_1', vocabulary_list=('mico layout', 'delhi high court', 'delhi cantt.', 'mumbai central', 'dockyard road', 'hyderabad public school', 'babarpur', 'laxman vihar industrial area', 'majestic', 'nathan road', 'fti college', 'musi nagar', 'sandhurst road', 'd-block', 'pune university', 'sector 63a', 'delhi administration flats', 'delhi university-gtb nagar', 'sector 3', 'sector 1', 'rmz centennial', 'tejas nagar colony', 'mg road', 'yerawada', 'sector 14', 'gora bazar', 'noorkhan bazaar', 'raja bazar', 'chandni chowk', 'panjetan colony', 'jaya nagar', 'chatta bazaar', 'moulali', 'tiretti', 'btm layout 1'), dtype=tf.string, default_value=-1, num_oov_buckets=0).\n",
"DEBUG:tensorflow:Transforming feature_column NumericColumn(key='Minimum_Order_Cleaned', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None).\n",
"DEBUG:tensorflow:Transforming feature_column NumericColumn(key='Rating_Cleaned', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None).\n",
"DEBUG:tensorflow:Transforming feature_column IndicatorColumn(categorical_column=VocabularyListCategoricalColumn(key='Restaurant', vocabulary_list=('ID_7618', 'ID_5074', 'ID_1762', 'ID_1209', 'ID_3475', 'ID_7530', 'ID_473', 'ID_4708', 'ID_6502', 'ID_1638', 'ID_3793', 'ID_4545', 'ID_5002', 'ID_4778', 'ID_5593', 'ID_506', 'ID_5489', 'ID_6738', 'ID_712', 'ID_8485', 'ID_773', 'ID_7575', 'ID_390', 'ID_4446', 'ID_3629', 'ID_6428', 'ID_5155', 'ID_164', 'ID_5191', 'ID_1733', 'ID_1870', 'ID_3693', 'ID_1787', 'ID_4202', 'ID_2928', 'ID_5065', 'ID_5766', 'ID_1136', 'ID_1789', 'ID_5459', 'ID_31', 'ID_4839', 'ID_745', 'ID_2193', 'ID_3591', 'ID_4578', 'ID_6531', 'ID_6352', 'ID_1546', 'ID_6223', 'ID_8420', 'ID_8496', 'ID_7750', 'ID_7132', 'ID_941', 'ID_7159', 'ID_8184', 'ID_5773', 'ID_2815', 'ID_6229', 'ID_2892', 'ID_7090', 'ID_2763', 'ID_6561', 'ID_7393', 'ID_2221', 'ID_7525', 'ID_6475', 'ID_4880', 'ID_2723', 'ID_8085', 'ID_3152', 'ID_6153', 'ID_6289', 'ID_7394', 'ID_2402', 'ID_2772', 'ID_4652', 'ID_2934', 'ID_5066', 'ID_7490', 'ID_3352', 'ID_8248', 'ID_7356', 'ID_3596', 'ID_4155', 'ID_2505', 'ID_1995', 'ID_4654', 'ID_7542', 'ID_5567', 'ID_3116', 'ID_6261', 'ID_5111', 'ID_7632', 'ID_8572', 'ID_2694', 'ID_5656', 'ID_4527', 'ID_6484', 'ID_5681', 'ID_7235', 'ID_4863', 'ID_7591', 'ID_3006', 'ID_4429', 'ID_7924', 'ID_5516', 'ID_7163', 'ID_577', 'ID_2811', 'ID_4360', 'ID_6774', 'ID_5665', 'ID_1260', 'ID_1426', 'ID_4444', 'ID_2929', 'ID_5602', 'ID_1422', 'ID_3431', 'ID_6322', 'ID_5122', 'ID_8170', 'ID_3332', 'ID_4176', 'ID_5067', 'ID_7683', 'ID_5446', 'ID_1771', 'ID_3454', 'ID_7711', 'ID_4501', 'ID_4091', 'ID_3457', 'ID_8430', 'ID_1849', 'ID_642', 'ID_1296', 'ID_7010', 'ID_5393', 'ID_6158', 'ID_3912', 'ID_4172', 'ID_4453', 'ID_3434', 'ID_5898', 'ID_5376', 'ID_6599', 'ID_6444', 'ID_1840', 'ID_6913', 'ID_7210', 'ID_1813', 'ID_299', 'ID_2376', 'ID_2194', 'ID_1008', 'ID_629', 'ID_2301', 'ID_6751', 'ID_4230', 'ID_6489', 'ID_5478', 'ID_8111', 'ID_3422', 'ID_5025', 'ID_2613', 'ID_7142', 'ID_498', 'ID_944', 'ID_3047', 'ID_3197', 'ID_714', 'ID_2464', 'ID_5720', 'ID_3674', 'ID_6840', 'ID_6154', 'ID_1752', 'ID_6163', 'ID_330', 'ID_691', 'ID_3462', 'ID_7544', 'ID_4512', 'ID_15', 'ID_7200', 'ID_7027', 'ID_6841', 'ID_5530', 'ID_6099', 'ID_2766', 'ID_8096', 'ID_4910', 'ID_1743', 'ID_7202', 'ID_6474', 'ID_3550', 'ID_7148', 'ID_4688', 'ID_6549', 'ID_112', 'ID_8066', 'ID_5012', 'ID_2162', 'ID_657', 'ID_2882', 'ID_6015', 'ID_2960', 'ID_1890', 'ID_4974', 'ID_249', 'ID_2718', 'ID_2185', 'ID_8536', 'ID_4716', 'ID_3834', 'ID_6170', 'ID_6544', 'ID_5321', 'ID_639', 'ID_1635', 'ID_7905', 'ID_8151', 'ID_888', 'ID_8106', 'ID_6864', 'ID_6906', 'ID_7299', 'ID_8237', 'ID_3588', 'ID_3712', 'ID_1256', 'ID_6273', 'ID_1240', 'ID_7007', 'ID_5301', 'ID_3459', 'ID_814', 'ID_7120', 'ID_5008', 'ID_8104', 'ID_436', 'ID_4817', 'ID_6618', 'ID_7713', 'ID_34', 'ID_6659', 'ID_896', 'ID_3413', 'ID_206', 'ID_2560', 'ID_4497', 'ID_838', 'ID_4182', 'ID_1555', 'ID_3452', 'ID_7139', 'ID_7323', 'ID_699', 'ID_6491', 'ID_7538', 'ID_6653', 'ID_4216', 'ID_7078', 'ID_2559', 'ID_3054', 'ID_6377', 'ID_2498', 'ID_2165', 'ID_417', 'ID_4414', 'ID_3395', 'ID_3392', 'ID_1799', 'ID_2984', 'ID_6951', 'ID_1156', 'ID_8596', 'ID_3416', 'ID_3895', 'ID_1736', 'ID_7654', 'ID_811', 'ID_7249', 'ID_7365', 'ID_8643', 'ID_387', 'ID_7743', 'ID_4352', 'ID_8208', 'ID_490', 'ID_6111', 'ID_6402', 'ID_8109', 'ID_4734', 'ID_342', 'ID_837', 'ID_397', 'ID_3733', 'ID_100', 'ID_5578', 'ID_2830', 'ID_6832', 'ID_7272', 'ID_8336', 'ID_7503', 'ID_4815', 'ID_1792', 'ID_7072', 'ID_2794', 'ID_8158', 'ID_2083', 'ID_2846', 'ID_244', 'ID_6462', 'ID_4955', 'ID_2684', 'ID_7302', 'ID_462', 'ID_5585', 'ID_495', 'ID_8525', 'ID_6846', 'ID_1670', 'ID_1263', 'ID_43', 'ID_6447', 'ID_7230', 'ID_178', 'ID_4292', 'ID_7833', 'ID_1254', 'ID_4873', 'ID_7884', 'ID_5267', 'ID_7312', 'ID_529', 'ID_3034', 'ID_1207', 'ID_694', 'ID_783', 'ID_4252', 'ID_3011', 'ID_7080', 'ID_3373', 'ID_4648', 'ID_1696', 'ID_3969', 'ID_4436', 'ID_5897', 'ID_2032', 'ID_5996', 'ID_4320', 'ID_6929', 'ID_4700', 'ID_6171', 'ID_3775', 'ID_3985', 'ID_5654', 'ID_2677', 'ID_5254', 'ID_3871', 'ID_389', 'ID_1034', 'ID_3194', 'ID_6142', 'ID_7558', 'ID_8187', 'ID_8581', 'ID_4271', 'ID_7024', 'ID_7564', 'ID_1570', 'ID_5062', 'ID_7281', 'ID_7468', 'ID_651', 'ID_3579', 'ID_7739', 'ID_8203', 'ID_6407', 'ID_5354', 'ID_1477', 'ID_3620', 'ID_1731', 'ID_7480', 'ID_3467', 'ID_71', 'ID_6375', 'ID_598', 'ID_7615', 'ID_3778', 'ID_7860', 'ID_270', 'ID_1257', 'ID_660', 'ID_6915', 'ID_6928', 'ID_5858', 'ID_5777', 'ID_4258', 'ID_3106', 'ID_5765', 'ID_617', 'ID_7588', 'ID_3592', 'ID_6839', 'ID_2139', 'ID_3242', 'ID_5554', 'ID_4686', 'ID_4254', 'ID_8648', 'ID_619', 'ID_2685', 'ID_7311', 'ID_3410', 'ID_6316', 'ID_2664', 'ID_6724', 'ID_5538', 'ID_179', 'ID_5231', 'ID_4892', 'ID_4305', 'ID_7342', 'ID_1140', 'ID_7803', 'ID_5937', 'ID_889', 'ID_6253', 'ID_2029', 'ID_2629', 'ID_1041', 'ID_273', 'ID_3113', 'ID_7726', 'ID_6769', 'ID_4528', 'ID_6122', 'ID_8438', 'ID_4493', 'ID_7951', 'ID_8323', 'ID_6424', 'ID_3626', 'ID_1548', 'ID_5775', 'ID_1519', 'ID_201', 'ID_744', 'ID_3343', 'ID_554', 'ID_1404', 'ID_5852', 'ID_7599', 'ID_3464', 'ID_5952', 'ID_7222', 'ID_2968', 'ID_5954', 'ID_2220', 'ID_1620', 'ID_4415', 'ID_5120', 'ID_4950', 'ID_3859', 'ID_7373', 'ID_1036', 'ID_8332', 'ID_670', 'ID_825', 'ID_599', 'ID_4369', 'ID_1031', 'ID_3480', 'ID_5237', 'ID_3425', 'ID_7894', 'ID_4725', 'ID_8045', 'ID_3466', 'ID_7441', 'ID_2509', 'ID_1940', 'ID_3846', 'ID_4203', 'ID_8108', 'ID_3426', 'ID_4559', 'ID_1309', 'ID_372', 'ID_8327', 'ID_3654', 'ID_7891', 'ID_449', 'ID_8320', 'ID_218', 'ID_1788', 'ID_1854', 'ID_6016', 'ID_2416', 'ID_689', 'ID_2422', 'ID_1322', 'ID_7048', 'ID_5802', 'ID_2231', 'ID_2727', 'ID_7440', 'ID_2851', 'ID_3075', 'ID_1661', 'ID_1639', 'ID_5461', 'ID_1726', 'ID_6945', 'ID_2439', 'ID_2814', 'ID_105', 'ID_5007', 'ID_348', 'ID_1071', 'ID_8008', 'ID_1911', 'ID_1243', 'ID_2750', 'ID_2588', 'ID_5704', 'ID_1997', 'ID_2141', 'ID_7212', 'ID_2254', 'ID_118', 'ID_176', 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'ID_3648', 'ID_440', 'ID_6752', 'ID_87', 'ID_5930', 'ID_8360', 'ID_1029', 'ID_6624', 'ID_4275', 'ID_2521', 'ID_4236', 'ID_1416', 'ID_974', 'ID_5411', 'ID_4751', 'ID_2401', 'ID_6420', 'ID_32', 'ID_1396', 'ID_3497', 'ID_681', 'ID_5848', 'ID_2788', 'ID_2348', 'ID_5492', 'ID_4794', 'ID_2238', 'ID_7990', 'ID_5005', 'ID_7033', 'ID_7012', 'ID_3143', 'ID_3792', 'ID_7176', 'ID_4358', 'ID_7988', 'ID_4979', 'ID_5073', 'ID_4410', 'ID_6947', 'ID_3832', 'ID_4269', 'ID_2877', 'ID_1298', 'ID_2904', 'ID_762', 'ID_4994', 'ID_8619', 'ID_7597', 'ID_8165', 'ID_878', 'ID_6344', 'ID_4078', 'ID_530', 'ID_97', 'ID_6088', 'ID_1082', 'ID_6334', 'ID_1231', 'ID_1420', 'ID_3210', 'ID_8487', 'ID_5482', 'ID_1070', 'ID_450', 'ID_3910', 'ID_2095', 'ID_6726', 'ID_8549', 'ID_7364', 'ID_4075', 'ID_2214', 'ID_1667', 'ID_3171', 'ID_4915', 'ID_1560', 'ID_3842', 'ID_3460', 'ID_3740', 'ID_5121', 'ID_4139', 'ID_3063', 'ID_3521', 'ID_1908', 'ID_1858', 'ID_4534', 'ID_465', 'ID_3153', 'ID_8504', 'ID_6231', 'ID_6296', 'ID_196', 'ID_232', 'ID_8463', 'ID_4137', 'ID_7853', 'ID_4619', 'ID_4127', 'ID_6526', 'ID_1131', 'ID_583', 'ID_2225', 'ID_2790', 'ID_1679', 'ID_1818', 'ID_7843', 'ID_1719', 'ID_536', 'ID_1272', 'ID_8548', 'ID_3572', 'ID_5798', 'ID_8019', 'ID_7715', 'ID_454', 'ID_2597', 'ID_6315', 'ID_1952', 'ID_2135', 'ID_181', 'ID_3221', 'ID_7536', 'ID_5076', 'ID_7955', 'ID_5503', 'ID_1105', 'ID_6629', 'ID_6427', 'ID_780', 'ID_5373', 'ID_4074', 'ID_6130', 'ID_6119', 'ID_8565', 'ID_1644', 'ID_7693', 'ID_8381', 'ID_8243', 'ID_1332', 'ID_3706', 'ID_7697', 'ID_1273', 'ID_3411', 'ID_702', 'ID_96', 'ID_3470', 'ID_4897', 'ID_6415', 'ID_993', 'ID_7349', 'ID_5099', 'ID_7297', 'ID_6100', 'ID_5136', 'ID_5632', 'ID_1174', 'ID_8346', 'ID_5217', 'ID_160', 'ID_7234', 'ID_7079', 'ID_4577', 'ID_3687', 'ID_666', 'ID_4143', 'ID_4680', 'ID_5895', 'ID_6224', 'ID_3296', 'ID_6072', 'ID_8291', 'ID_5315', 'ID_5276', 'ID_786', 'ID_5722', 'ID_6664', 'ID_4866', 'ID_6382', 'ID_4523', 'ID_3190', 'ID_5894', 'ID_1676', 'ID_3983', 'ID_6356', 'ID_5598', 'ID_5239', 'ID_4841', 'ID_7126', 'ID_6562', 'ID_1585', 'ID_3347', 'ID_3661', 'ID_4704', 'ID_6943', 'ID_3918', 'ID_6131', 'ID_2887', 'ID_7076', 'ID_7344', 'ID_4992', 'ID_6210', 'ID_931', 'ID_4338', 'ID_5224', 'ID_582', 'ID_5807', 'ID_3735', 'ID_4530', 'ID_3797', 'ID_4518', 'ID_6064', 'ID_2769', 'ID_721', 'ID_3274', 'ID_3057', 'ID_883', 'ID_6937', 'ID_8446', 'ID_6192', 'ID_4965', 'ID_2756', 'ID_3060', 'ID_2321', 'ID_6166', 'ID_4624', 'ID_3043', 'ID_1904', 'ID_7283', 'ID_2265', 'ID_4411', 'ID_2832', 'ID_7087', 'ID_6175', 'ID_3555', 'ID_3344', 'ID_4097', 'ID_2427', 'ID_163', 'ID_8383'), dtype=tf.string, default_value=-1, num_oov_buckets=0)).\n",
"DEBUG:tensorflow:Transforming feature_column VocabularyListCategoricalColumn(key='Restaurant', vocabulary_list=('ID_7618', 'ID_5074', 'ID_1762', 'ID_1209', 'ID_3475', 'ID_7530', 'ID_473', 'ID_4708', 'ID_6502', 'ID_1638', 'ID_3793', 'ID_4545', 'ID_5002', 'ID_4778', 'ID_5593', 'ID_506', 'ID_5489', 'ID_6738', 'ID_712', 'ID_8485', 'ID_773', 'ID_7575', 'ID_390', 'ID_4446', 'ID_3629', 'ID_6428', 'ID_5155', 'ID_164', 'ID_5191', 'ID_1733', 'ID_1870', 'ID_3693', 'ID_1787', 'ID_4202', 'ID_2928', 'ID_5065', 'ID_5766', 'ID_1136', 'ID_1789', 'ID_5459', 'ID_31', 'ID_4839', 'ID_745', 'ID_2193', 'ID_3591', 'ID_4578', 'ID_6531', 'ID_6352', 'ID_1546', 'ID_6223', 'ID_8420', 'ID_8496', 'ID_7750', 'ID_7132', 'ID_941', 'ID_7159', 'ID_8184', 'ID_5773', 'ID_2815', 'ID_6229', 'ID_2892', 'ID_7090', 'ID_2763', 'ID_6561', 'ID_7393', 'ID_2221', 'ID_7525', 'ID_6475', 'ID_4880', 'ID_2723', 'ID_8085', 'ID_3152', 'ID_6153', 'ID_6289', 'ID_7394', 'ID_2402', 'ID_2772', 'ID_4652', 'ID_2934', 'ID_5066', 'ID_7490', 'ID_3352', 'ID_8248', 'ID_7356', 'ID_3596', 'ID_4155', 'ID_2505', 'ID_1995', 'ID_4654', 'ID_7542', 'ID_5567', 'ID_3116', 'ID_6261', 'ID_5111', 'ID_7632', 'ID_8572', 'ID_2694', 'ID_5656', 'ID_4527', 'ID_6484', 'ID_5681', 'ID_7235', 'ID_4863', 'ID_7591', 'ID_3006', 'ID_4429', 'ID_7924', 'ID_5516', 'ID_7163', 'ID_577', 'ID_2811', 'ID_4360', 'ID_6774', 'ID_5665', 'ID_1260', 'ID_1426', 'ID_4444', 'ID_2929', 'ID_5602', 'ID_1422', 'ID_3431', 'ID_6322', 'ID_5122', 'ID_8170', 'ID_3332', 'ID_4176', 'ID_5067', 'ID_7683', 'ID_5446', 'ID_1771', 'ID_3454', 'ID_7711', 'ID_4501', 'ID_4091', 'ID_3457', 'ID_8430', 'ID_1849', 'ID_642', 'ID_1296', 'ID_7010', 'ID_5393', 'ID_6158', 'ID_3912', 'ID_4172', 'ID_4453', 'ID_3434', 'ID_5898', 'ID_5376', 'ID_6599', 'ID_6444', 'ID_1840', 'ID_6913', 'ID_7210', 'ID_1813', 'ID_299', 'ID_2376', 'ID_2194', 'ID_1008', 'ID_629', 'ID_2301', 'ID_6751', 'ID_4230', 'ID_6489', 'ID_5478', 'ID_8111', 'ID_3422', 'ID_5025', 'ID_2613', 'ID_7142', 'ID_498', 'ID_944', 'ID_3047', 'ID_3197', 'ID_714', 'ID_2464', 'ID_5720', 'ID_3674', 'ID_6840', 'ID_6154', 'ID_1752', 'ID_6163', 'ID_330', 'ID_691', 'ID_3462', 'ID_7544', 'ID_4512', 'ID_15', 'ID_7200', 'ID_7027', 'ID_6841', 'ID_5530', 'ID_6099', 'ID_2766', 'ID_8096', 'ID_4910', 'ID_1743', 'ID_7202', 'ID_6474', 'ID_3550', 'ID_7148', 'ID_4688', 'ID_6549', 'ID_112', 'ID_8066', 'ID_5012', 'ID_2162', 'ID_657', 'ID_2882', 'ID_6015', 'ID_2960', 'ID_1890', 'ID_4974', 'ID_249', 'ID_2718', 'ID_2185', 'ID_8536', 'ID_4716', 'ID_3834', 'ID_6170', 'ID_6544', 'ID_5321', 'ID_639', 'ID_1635', 'ID_7905', 'ID_8151', 'ID_888', 'ID_8106', 'ID_6864', 'ID_6906', 'ID_7299', 'ID_8237', 'ID_3588', 'ID_3712', 'ID_1256', 'ID_6273', 'ID_1240', 'ID_7007', 'ID_5301', 'ID_3459', 'ID_814', 'ID_7120', 'ID_5008', 'ID_8104', 'ID_436', 'ID_4817', 'ID_6618', 'ID_7713', 'ID_34', 'ID_6659', 'ID_896', 'ID_3413', 'ID_206', 'ID_2560', 'ID_4497', 'ID_838', 'ID_4182', 'ID_1555', 'ID_3452', 'ID_7139', 'ID_7323', 'ID_699', 'ID_6491', 'ID_7538', 'ID_6653', 'ID_4216', 'ID_7078', 'ID_2559', 'ID_3054', 'ID_6377', 'ID_2498', 'ID_2165', 'ID_417', 'ID_4414', 'ID_3395', 'ID_3392', 'ID_1799', 'ID_2984', 'ID_6951', 'ID_1156', 'ID_8596', 'ID_3416', 'ID_3895', 'ID_1736', 'ID_7654', 'ID_811', 'ID_7249', 'ID_7365', 'ID_8643', 'ID_387', 'ID_7743', 'ID_4352', 'ID_8208', 'ID_490', 'ID_6111', 'ID_6402', 'ID_8109', 'ID_4734', 'ID_342', 'ID_837', 'ID_397', 'ID_3733', 'ID_100', 'ID_5578', 'ID_2830', 'ID_6832', 'ID_7272', 'ID_8336', 'ID_7503', 'ID_4815', 'ID_1792', 'ID_7072', 'ID_2794', 'ID_8158', 'ID_2083', 'ID_2846', 'ID_244', 'ID_6462', 'ID_4955', 'ID_2684', 'ID_7302', 'ID_462', 'ID_5585', 'ID_495', 'ID_8525', 'ID_6846', 'ID_1670', 'ID_1263', 'ID_43', 'ID_6447', 'ID_7230', 'ID_178', 'ID_4292', 'ID_7833', 'ID_1254', 'ID_4873', 'ID_7884', 'ID_5267', 'ID_7312', 'ID_529', 'ID_3034', 'ID_1207', 'ID_694', 'ID_783', 'ID_4252', 'ID_3011', 'ID_7080', 'ID_3373', 'ID_4648', 'ID_1696', 'ID_3969', 'ID_4436', 'ID_5897', 'ID_2032', 'ID_5996', 'ID_4320', 'ID_6929', 'ID_4700', 'ID_6171', 'ID_3775', 'ID_3985', 'ID_5654', 'ID_2677', 'ID_5254', 'ID_3871', 'ID_389', 'ID_1034', 'ID_3194', 'ID_6142', 'ID_7558', 'ID_8187', 'ID_8581', 'ID_4271', 'ID_7024', 'ID_7564', 'ID_1570', 'ID_5062', 'ID_7281', 'ID_7468', 'ID_651', 'ID_3579', 'ID_7739', 'ID_8203', 'ID_6407', 'ID_5354', 'ID_1477', 'ID_3620', 'ID_1731', 'ID_7480', 'ID_3467', 'ID_71', 'ID_6375', 'ID_598', 'ID_7615', 'ID_3778', 'ID_7860', 'ID_270', 'ID_1257', 'ID_660', 'ID_6915', 'ID_6928', 'ID_5858', 'ID_5777', 'ID_4258', 'ID_3106', 'ID_5765', 'ID_617', 'ID_7588', 'ID_3592', 'ID_6839', 'ID_2139', 'ID_3242', 'ID_5554', 'ID_4686', 'ID_4254', 'ID_8648', 'ID_619', 'ID_2685', 'ID_7311', 'ID_3410', 'ID_6316', 'ID_2664', 'ID_6724', 'ID_5538', 'ID_179', 'ID_5231', 'ID_4892', 'ID_4305', 'ID_7342', 'ID_1140', 'ID_7803', 'ID_5937', 'ID_889', 'ID_6253', 'ID_2029', 'ID_2629', 'ID_1041', 'ID_273', 'ID_3113', 'ID_7726', 'ID_6769', 'ID_4528', 'ID_6122', 'ID_8438', 'ID_4493', 'ID_7951', 'ID_8323', 'ID_6424', 'ID_3626', 'ID_1548', 'ID_5775', 'ID_1519', 'ID_201', 'ID_744', 'ID_3343', 'ID_554', 'ID_1404', 'ID_5852', 'ID_7599', 'ID_3464', 'ID_5952', 'ID_7222', 'ID_2968', 'ID_5954', 'ID_2220', 'ID_1620', 'ID_4415', 'ID_5120', 'ID_4950', 'ID_3859', 'ID_7373', 'ID_1036', 'ID_8332', 'ID_670', 'ID_825', 'ID_599', 'ID_4369', 'ID_1031', 'ID_3480', 'ID_5237', 'ID_3425', 'ID_7894', 'ID_4725', 'ID_8045', 'ID_3466', 'ID_7441', 'ID_2509', 'ID_1940', 'ID_3846', 'ID_4203', 'ID_8108', 'ID_3426', 'ID_4559', 'ID_1309', 'ID_372', 'ID_8327', 'ID_3654', 'ID_7891', 'ID_449', 'ID_8320', 'ID_218', 'ID_1788', 'ID_1854', 'ID_6016', 'ID_2416', 'ID_689', 'ID_2422', 'ID_1322', 'ID_7048', 'ID_5802', 'ID_2231', 'ID_2727', 'ID_7440', 'ID_2851', 'ID_3075', 'ID_1661', 'ID_1639', 'ID_5461', 'ID_1726', 'ID_6945', 'ID_2439', 'ID_2814', 'ID_105', 'ID_5007', 'ID_348', 'ID_1071', 'ID_8008', 'ID_1911', 'ID_1243', 'ID_2750', 'ID_2588', 'ID_5704', 'ID_1997', 'ID_2141', 'ID_7212', 'ID_2254', 'ID_118', 'ID_176', 'ID_3042', 'ID_893', 'ID_7515', 'ID_6406', 'ID_337', 'ID_5200', 'ID_7501', 'ID_2725', 'ID_3117', 'ID_5410', 'ID_5787', 'ID_824', 'ID_6710', 'ID_5855', 'ID_6190', 'ID_1125', 'ID_236', 'ID_6750', 'ID_1769', 'ID_1825', 'ID_7656', 'ID_2470', 'ID_7271', 'ID_630', 'ID_7422', 'ID_3340', 'ID_5414', 'ID_6255', 'ID_1183', 'ID_7064', 'ID_6018', 'ID_6535', 'ID_7147', 'ID_3655', 'ID_3988', 'ID_7295', 'ID_4625', 'ID_435', 'ID_2325', 'ID_2946', 'ID_8201', 'ID_7754', 'ID_4662', 'ID_1150', 'ID_2452', 'ID_8328', 'ID_3745', 'ID_8278', 'ID_8020', 'ID_5129', 'ID_7619', 'ID_8174', 'ID_3600', 'ID_2187', 'ID_6247', 'ID_2551', 'ID_6921', 'ID_2435', 'ID_718', 'ID_4609', 'ID_2156', 'ID_596', 'ID_1430', 'ID_7723', 'ID_8054', 'ID_6706', 'ID_4485', 'ID_1939', 'ID_8450', 'ID_188', 'ID_5087', 'ID_3290', 'ID_5772', 'ID_2958', 'ID_667', 'ID_0', 'ID_6577', 'ID_2361', 'ID_4441', 'ID_28', 'ID_7089', 'ID_6399', 'ID_6004', 'ID_2071', 'ID_6880', 'ID_8042', 'ID_6511', 'ID_3584', 'ID_4169', 'ID_8357', 'ID_2733', 'ID_8292', 'ID_1192', 'ID_3966', 'ID_904', 'ID_2408', 'ID_5356', 'ID_960', 'ID_1577', 'ID_4220', 'ID_6468', 'ID_3897', 'ID_7674', 'ID_2920', 'ID_1946', 'ID_572', 'ID_5921', 'ID_3714', 'ID_2033', 'ID_6276', 'ID_2634', 'ID_1454', 'ID_2081', 'ID_1401', 'ID_5019', 'ID_6469', 'ID_8540', 'ID_6956', 'ID_4412', 'ID_3257', 'ID_4543', 'ID_8414', 'ID_6537', 'ID_7034', 'ID_1478', 'ID_6451', 'ID_7725', 'ID_1645', 'ID_5161', 'ID_7001', 'ID_8580', 'ID_2561', 'ID_8603', 'ID_8605', 'ID_4342', 'ID_1609', 'ID_1616', 'ID_7863', 'ID_6408', 'ID_3381', 'ID_3090', 'ID_5789', 'ID_4071', 'ID_4315', 'ID_7516', 'ID_1610', 'ID_7993', 'ID_3120', 'ID_5582', 'ID_1759', 'ID_4522', 'ID_6300', 'ID_7733', 'ID_8026', 'ID_7866', 'ID_6277', 'ID_6136', 'ID_8620', 'ID_1656', 'ID_4397', 'ID_7325', 'ID_6081', 'ID_5053', 'ID_6146', 'ID_2483', 'ID_2759', 'ID_3338', 'ID_7127', 'ID_6760', 'ID_2994', 'ID_710', 'ID_6325', 'ID_3093', 'ID_881', 'ID_6628', 'ID_2930', 'ID_4323', 'ID_5528', 'ID_8486', 'ID_1250', 'ID_7149', 'ID_7355', 'ID_5818', 'ID_6757', 'ID_847', 'ID_6061', 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'ID_6752', 'ID_87', 'ID_5930', 'ID_8360', 'ID_1029', 'ID_6624', 'ID_4275', 'ID_2521', 'ID_4236', 'ID_1416', 'ID_974', 'ID_5411', 'ID_4751', 'ID_2401', 'ID_6420', 'ID_32', 'ID_1396', 'ID_3497', 'ID_681', 'ID_5848', 'ID_2788', 'ID_2348', 'ID_5492', 'ID_4794', 'ID_2238', 'ID_7990', 'ID_5005', 'ID_7033', 'ID_7012', 'ID_3143', 'ID_3792', 'ID_7176', 'ID_4358', 'ID_7988', 'ID_4979', 'ID_5073', 'ID_4410', 'ID_6947', 'ID_3832', 'ID_4269', 'ID_2877', 'ID_1298', 'ID_2904', 'ID_762', 'ID_4994', 'ID_8619', 'ID_7597', 'ID_8165', 'ID_878', 'ID_6344', 'ID_4078', 'ID_530', 'ID_97', 'ID_6088', 'ID_1082', 'ID_6334', 'ID_1231', 'ID_1420', 'ID_3210', 'ID_8487', 'ID_5482', 'ID_1070', 'ID_450', 'ID_3910', 'ID_2095', 'ID_6726', 'ID_8549', 'ID_7364', 'ID_4075', 'ID_2214', 'ID_1667', 'ID_3171', 'ID_4915', 'ID_1560', 'ID_3842', 'ID_3460', 'ID_3740', 'ID_5121', 'ID_4139', 'ID_3063', 'ID_3521', 'ID_1908', 'ID_1858', 'ID_4534', 'ID_465', 'ID_3153', 'ID_8504', 'ID_6231', 'ID_6296', 'ID_196', 'ID_232', 'ID_8463', 'ID_4137', 'ID_7853', 'ID_4619', 'ID_4127', 'ID_6526', 'ID_1131', 'ID_583', 'ID_2225', 'ID_2790', 'ID_1679', 'ID_1818', 'ID_7843', 'ID_1719', 'ID_536', 'ID_1272', 'ID_8548', 'ID_3572', 'ID_5798', 'ID_8019', 'ID_7715', 'ID_454', 'ID_2597', 'ID_6315', 'ID_1952', 'ID_2135', 'ID_181', 'ID_3221', 'ID_7536', 'ID_5076', 'ID_7955', 'ID_5503', 'ID_1105', 'ID_6629', 'ID_6427', 'ID_780', 'ID_5373', 'ID_4074', 'ID_6130', 'ID_6119', 'ID_8565', 'ID_1644', 'ID_7693', 'ID_8381', 'ID_8243', 'ID_1332', 'ID_3706', 'ID_7697', 'ID_1273', 'ID_3411', 'ID_702', 'ID_96', 'ID_3470', 'ID_4897', 'ID_6415', 'ID_993', 'ID_7349', 'ID_5099', 'ID_7297', 'ID_6100', 'ID_5136', 'ID_5632', 'ID_1174', 'ID_8346', 'ID_5217', 'ID_160', 'ID_7234', 'ID_7079', 'ID_4577', 'ID_3687', 'ID_666', 'ID_4143', 'ID_4680', 'ID_5895', 'ID_6224', 'ID_3296', 'ID_6072', 'ID_8291', 'ID_5315', 'ID_5276', 'ID_786', 'ID_5722', 'ID_6664', 'ID_4866', 'ID_6382', 'ID_4523', 'ID_3190', 'ID_5894', 'ID_1676', 'ID_3983', 'ID_6356', 'ID_5598', 'ID_5239', 'ID_4841', 'ID_7126', 'ID_6562', 'ID_1585', 'ID_3347', 'ID_3661', 'ID_4704', 'ID_6943', 'ID_3918', 'ID_6131', 'ID_2887', 'ID_7076', 'ID_7344', 'ID_4992', 'ID_6210', 'ID_931', 'ID_4338', 'ID_5224', 'ID_582', 'ID_5807', 'ID_3735', 'ID_4530', 'ID_3797', 'ID_4518', 'ID_6064', 'ID_2769', 'ID_721', 'ID_3274', 'ID_3057', 'ID_883', 'ID_6937', 'ID_8446', 'ID_6192', 'ID_4965', 'ID_2756', 'ID_3060', 'ID_2321', 'ID_6166', 'ID_4624', 'ID_3043', 'ID_1904', 'ID_7283', 'ID_2265', 'ID_4411', 'ID_2832', 'ID_7087', 'ID_6175', 'ID_3555', 'ID_3344', 'ID_4097', 'ID_2427', 'ID_163', 'ID_8383'), dtype=tf.string, default_value=-1, num_oov_buckets=0).\n",
"DEBUG:tensorflow:Transforming feature_column NumericColumn(key='Reviews_Cleaned', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None).\n",
"DEBUG:tensorflow:Transforming feature_column NumericColumn(key='Votes_Cleaned', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None).\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Create CheckpointSaverHook.\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Saving checkpoints for 0 into /tmp/tmp5wvp96jm/model.ckpt.\n",
"INFO:tensorflow:loss = 6.6140075, step = 0\n",
"INFO:tensorflow:global_step/sec: 84.3399\n",
"INFO:tensorflow:loss = 0.82225376, step = 100 (1.188 sec)\n",
"INFO:tensorflow:global_step/sec: 98.1234\n",
"INFO:tensorflow:loss = 1.0151538, step = 200 (1.020 sec)\n",
"INFO:tensorflow:global_step/sec: 96.1255\n",
"INFO:tensorflow:loss = 0.9424375, step = 300 (1.039 sec)\n",
"INFO:tensorflow:global_step/sec: 100.246\n",
"INFO:tensorflow:loss = 0.84453, step = 400 (1.000 sec)\n",
"INFO:tensorflow:global_step/sec: 96.1586\n",
"INFO:tensorflow:loss = 0.8815189, step = 500 (1.041 sec)\n",
"INFO:tensorflow:global_step/sec: 94.9127\n",
"INFO:tensorflow:loss = 0.8956878, step = 600 (1.050 sec)\n",
"INFO:tensorflow:global_step/sec: 98.2521\n",
"INFO:tensorflow:loss = 0.82925403, step = 700 (1.019 sec)\n",
"INFO:tensorflow:global_step/sec: 96.3599\n",
"INFO:tensorflow:loss = 0.7679479, step = 800 (1.041 sec)\n",
"INFO:tensorflow:global_step/sec: 93.1757\n",
"INFO:tensorflow:loss = 0.6776325, step = 900 (1.074 sec)\n",
"INFO:tensorflow:global_step/sec: 93.7844\n",
"INFO:tensorflow:loss = 0.7703043, step = 1000 (1.063 sec)\n",
"INFO:tensorflow:global_step/sec: 93.993\n",
"INFO:tensorflow:loss = 0.90082836, step = 1100 (1.063 sec)\n",
"INFO:tensorflow:global_step/sec: 95.3178\n",
"INFO:tensorflow:loss = 0.70714617, step = 1200 (1.049 sec)\n",
"INFO:tensorflow:global_step/sec: 95.2648\n",
"INFO:tensorflow:loss = 0.7444712, step = 1300 (1.054 sec)\n",
"INFO:tensorflow:global_step/sec: 95.3125\n",
"INFO:tensorflow:loss = 0.84793824, step = 1400 (1.045 sec)\n",
"INFO:tensorflow:Saving checkpoints for 1500 into /tmp/tmp5wvp96jm/model.ckpt.\n",
"INFO:tensorflow:Loss for final step: 0.7097703.\n"
],
"name": "stdout"
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<tensorflow_estimator.python.estimator.canned.dnn.DNNClassifierV2 at 0x7fbad03d2c50>"
]
},
"metadata": {
"tags": []
},
"execution_count": 17
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "zfYAsH44r9Dy",
"colab_type": "code",
"outputId": "9008b2a3-e2df-4521-d375-ae98ba62c6a3",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
}
},
"source": [
"val.shape"
],
"execution_count": 18,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"(1110, 9)"
]
},
"metadata": {
"tags": []
},
"execution_count": 18
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "w3mGionTzyG2",
"colab_type": "code",
"outputId": "fae1d899-702f-4edc-d885-565ddcb3228a",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 632
}
},
"source": [
"classifier.evaluate(train_inpf, steps=num_steps_2)"
],
"execution_count": 19,
"outputs": [
{
"output_type": "stream",
"text": [
"INFO:tensorflow:Calling model_fn.\n",
"DEBUG:tensorflow:Transforming feature_column NumericColumn(key='Average_Cost_Cleaned', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None).\n",
"DEBUG:tensorflow:Transforming feature_column IndicatorColumn(categorical_column=VocabularyListCategoricalColumn(key='Cuisines_Feature_1', vocabulary_list=('bakery', 'chinese', 'cafe', 'north indian', 'south indian', 'fast food', 'pizza', 'malaysian', 'desserts', 'biryani', 'italian', 'parsi', 'burger', 'street food', 'rolls', 'asian', 'sandwich', 'maharashtrian', 'thai', 'mithai', 'salad', 'vietnamese', 'beverages', 'healthy food', 'finger food', 'continental', 'mangalorean', 'momos', 'german', 'mughlai', 'paan', 'ice cream', 'tibetan', 'bbq', 'arabian', 'japanese', 'rajasthani', 'andhra', 'seafood', 'sushi', 'mishti', 'mexican', 'kerala', 'juices', 'modern indian', 'bengali', 'european', 'bar food', 'tea', 'iranian', 'north eastern', 'raw meats', 'hyderabadi', 'american', 'korean', 'wraps', 'coffee', 'lebanese', 'awadhi', 'kebab', 'mediterranean', 'afghan', 'bihari', 'brazilian', 'portuguese', 'gujarati', 'tamil', 'malwani', 'konkan', 'odia', 'frozen yogurt', 'naga', 'turkish', 'lucknowi', 'goan', 'assamese', 'african', 'middle eastern', 'kashmiri', 'french', 'indian', 'chettinad', 'hot dogs', 'bohri'), dtype=tf.string, default_value=-1, num_oov_buckets=0)).\n",
"DEBUG:tensorflow:Transforming feature_column VocabularyListCategoricalColumn(key='Cuisines_Feature_1', vocabulary_list=('bakery', 'chinese', 'cafe', 'north indian', 'south indian', 'fast food', 'pizza', 'malaysian', 'desserts', 'biryani', 'italian', 'parsi', 'burger', 'street food', 'rolls', 'asian', 'sandwich', 'maharashtrian', 'thai', 'mithai', 'salad', 'vietnamese', 'beverages', 'healthy food', 'finger food', 'continental', 'mangalorean', 'momos', 'german', 'mughlai', 'paan', 'ice cream', 'tibetan', 'bbq', 'arabian', 'japanese', 'rajasthani', 'andhra', 'seafood', 'sushi', 'mishti', 'mexican', 'kerala', 'juices', 'modern indian', 'bengali', 'european', 'bar food', 'tea', 'iranian', 'north eastern', 'raw meats', 'hyderabadi', 'american', 'korean', 'wraps', 'coffee', 'lebanese', 'awadhi', 'kebab', 'mediterranean', 'afghan', 'bihari', 'brazilian', 'portuguese', 'gujarati', 'tamil', 'malwani', 'konkan', 'odia', 'frozen yogurt', 'naga', 'turkish', 'lucknowi', 'goan', 'assamese', 'african', 'middle eastern', 'kashmiri', 'french', 'indian', 'chettinad', 'hot dogs', 'bohri'), dtype=tf.string, default_value=-1, num_oov_buckets=0).\n",
"DEBUG:tensorflow:Transforming feature_column IndicatorColumn(categorical_column=VocabularyListCategoricalColumn(key='Location_Feature_1', vocabulary_list=('mico layout', 'delhi high court', 'delhi cantt.', 'mumbai central', 'dockyard road', 'hyderabad public school', 'babarpur', 'laxman vihar industrial area', 'majestic', 'nathan road', 'fti college', 'musi nagar', 'sandhurst road', 'd-block', 'pune university', 'sector 63a', 'delhi administration flats', 'delhi university-gtb nagar', 'sector 3', 'sector 1', 'rmz centennial', 'tejas nagar colony', 'mg road', 'yerawada', 'sector 14', 'gora bazar', 'noorkhan bazaar', 'raja bazar', 'chandni chowk', 'panjetan colony', 'jaya nagar', 'chatta bazaar', 'moulali', 'tiretti', 'btm layout 1'), dtype=tf.string, default_value=-1, num_oov_buckets=0)).\n",
"DEBUG:tensorflow:Transforming feature_column VocabularyListCategoricalColumn(key='Location_Feature_1', vocabulary_list=('mico layout', 'delhi high court', 'delhi cantt.', 'mumbai central', 'dockyard road', 'hyderabad public school', 'babarpur', 'laxman vihar industrial area', 'majestic', 'nathan road', 'fti college', 'musi nagar', 'sandhurst road', 'd-block', 'pune university', 'sector 63a', 'delhi administration flats', 'delhi university-gtb nagar', 'sector 3', 'sector 1', 'rmz centennial', 'tejas nagar colony', 'mg road', 'yerawada', 'sector 14', 'gora bazar', 'noorkhan bazaar', 'raja bazar', 'chandni chowk', 'panjetan colony', 'jaya nagar', 'chatta bazaar', 'moulali', 'tiretti', 'btm layout 1'), dtype=tf.string, default_value=-1, num_oov_buckets=0).\n",
"DEBUG:tensorflow:Transforming feature_column NumericColumn(key='Minimum_Order_Cleaned', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None).\n",
"DEBUG:tensorflow:Transforming feature_column NumericColumn(key='Rating_Cleaned', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None).\n",
"DEBUG:tensorflow:Transforming feature_column IndicatorColumn(categorical_column=VocabularyListCategoricalColumn(key='Restaurant', vocabulary_list=('ID_7618', 'ID_5074', 'ID_1762', 'ID_1209', 'ID_3475', 'ID_7530', 'ID_473', 'ID_4708', 'ID_6502', 'ID_1638', 'ID_3793', 'ID_4545', 'ID_5002', 'ID_4778', 'ID_5593', 'ID_506', 'ID_5489', 'ID_6738', 'ID_712', 'ID_8485', 'ID_773', 'ID_7575', 'ID_390', 'ID_4446', 'ID_3629', 'ID_6428', 'ID_5155', 'ID_164', 'ID_5191', 'ID_1733', 'ID_1870', 'ID_3693', 'ID_1787', 'ID_4202', 'ID_2928', 'ID_5065', 'ID_5766', 'ID_1136', 'ID_1789', 'ID_5459', 'ID_31', 'ID_4839', 'ID_745', 'ID_2193', 'ID_3591', 'ID_4578', 'ID_6531', 'ID_6352', 'ID_1546', 'ID_6223', 'ID_8420', 'ID_8496', 'ID_7750', 'ID_7132', 'ID_941', 'ID_7159', 'ID_8184', 'ID_5773', 'ID_2815', 'ID_6229', 'ID_2892', 'ID_7090', 'ID_2763', 'ID_6561', 'ID_7393', 'ID_2221', 'ID_7525', 'ID_6475', 'ID_4880', 'ID_2723', 'ID_8085', 'ID_3152', 'ID_6153', 'ID_6289', 'ID_7394', 'ID_2402', 'ID_2772', 'ID_4652', 'ID_2934', 'ID_5066', 'ID_7490', 'ID_3352', 'ID_8248', 'ID_7356', 'ID_3596', 'ID_4155', 'ID_2505', 'ID_1995', 'ID_4654', 'ID_7542', 'ID_5567', 'ID_3116', 'ID_6261', 'ID_5111', 'ID_7632', 'ID_8572', 'ID_2694', 'ID_5656', 'ID_4527', 'ID_6484', 'ID_5681', 'ID_7235', 'ID_4863', 'ID_7591', 'ID_3006', 'ID_4429', 'ID_7924', 'ID_5516', 'ID_7163', 'ID_577', 'ID_2811', 'ID_4360', 'ID_6774', 'ID_5665', 'ID_1260', 'ID_1426', 'ID_4444', 'ID_2929', 'ID_5602', 'ID_1422', 'ID_3431', 'ID_6322', 'ID_5122', 'ID_8170', 'ID_3332', 'ID_4176', 'ID_5067', 'ID_7683', 'ID_5446', 'ID_1771', 'ID_3454', 'ID_7711', 'ID_4501', 'ID_4091', 'ID_3457', 'ID_8430', 'ID_1849', 'ID_642', 'ID_1296', 'ID_7010', 'ID_5393', 'ID_6158', 'ID_3912', 'ID_4172', 'ID_4453', 'ID_3434', 'ID_5898', 'ID_5376', 'ID_6599', 'ID_6444', 'ID_1840', 'ID_6913', 'ID_7210', 'ID_1813', 'ID_299', 'ID_2376', 'ID_2194', 'ID_1008', 'ID_629', 'ID_2301', 'ID_6751', 'ID_4230', 'ID_6489', 'ID_5478', 'ID_8111', 'ID_3422', 'ID_5025', 'ID_2613', 'ID_7142', 'ID_498', 'ID_944', 'ID_3047', 'ID_3197', 'ID_714', 'ID_2464', 'ID_5720', 'ID_3674', 'ID_6840', 'ID_6154', 'ID_1752', 'ID_6163', 'ID_330', 'ID_691', 'ID_3462', 'ID_7544', 'ID_4512', 'ID_15', 'ID_7200', 'ID_7027', 'ID_6841', 'ID_5530', 'ID_6099', 'ID_2766', 'ID_8096', 'ID_4910', 'ID_1743', 'ID_7202', 'ID_6474', 'ID_3550', 'ID_7148', 'ID_4688', 'ID_6549', 'ID_112', 'ID_8066', 'ID_5012', 'ID_2162', 'ID_657', 'ID_2882', 'ID_6015', 'ID_2960', 'ID_1890', 'ID_4974', 'ID_249', 'ID_2718', 'ID_2185', 'ID_8536', 'ID_4716', 'ID_3834', 'ID_6170', 'ID_6544', 'ID_5321', 'ID_639', 'ID_1635', 'ID_7905', 'ID_8151', 'ID_888', 'ID_8106', 'ID_6864', 'ID_6906', 'ID_7299', 'ID_8237', 'ID_3588', 'ID_3712', 'ID_1256', 'ID_6273', 'ID_1240', 'ID_7007', 'ID_5301', 'ID_3459', 'ID_814', 'ID_7120', 'ID_5008', 'ID_8104', 'ID_436', 'ID_4817', 'ID_6618', 'ID_7713', 'ID_34', 'ID_6659', 'ID_896', 'ID_3413', 'ID_206', 'ID_2560', 'ID_4497', 'ID_838', 'ID_4182', 'ID_1555', 'ID_3452', 'ID_7139', 'ID_7323', 'ID_699', 'ID_6491', 'ID_7538', 'ID_6653', 'ID_4216', 'ID_7078', 'ID_2559', 'ID_3054', 'ID_6377', 'ID_2498', 'ID_2165', 'ID_417', 'ID_4414', 'ID_3395', 'ID_3392', 'ID_1799', 'ID_2984', 'ID_6951', 'ID_1156', 'ID_8596', 'ID_3416', 'ID_3895', 'ID_1736', 'ID_7654', 'ID_811', 'ID_7249', 'ID_7365', 'ID_8643', 'ID_387', 'ID_7743', 'ID_4352', 'ID_8208', 'ID_490', 'ID_6111', 'ID_6402', 'ID_8109', 'ID_4734', 'ID_342', 'ID_837', 'ID_397', 'ID_3733', 'ID_100', 'ID_5578', 'ID_2830', 'ID_6832', 'ID_7272', 'ID_8336', 'ID_7503', 'ID_4815', 'ID_1792', 'ID_7072', 'ID_2794', 'ID_8158', 'ID_2083', 'ID_2846', 'ID_244', 'ID_6462', 'ID_4955', 'ID_2684', 'ID_7302', 'ID_462', 'ID_5585', 'ID_495', 'ID_8525', 'ID_6846', 'ID_1670', 'ID_1263', 'ID_43', 'ID_6447', 'ID_7230', 'ID_178', 'ID_4292', 'ID_7833', 'ID_1254', 'ID_4873', 'ID_7884', 'ID_5267', 'ID_7312', 'ID_529', 'ID_3034', 'ID_1207', 'ID_694', 'ID_783', 'ID_4252', 'ID_3011', 'ID_7080', 'ID_3373', 'ID_4648', 'ID_1696', 'ID_3969', 'ID_4436', 'ID_5897', 'ID_2032', 'ID_5996', 'ID_4320', 'ID_6929', 'ID_4700', 'ID_6171', 'ID_3775', 'ID_3985', 'ID_5654', 'ID_2677', 'ID_5254', 'ID_3871', 'ID_389', 'ID_1034', 'ID_3194', 'ID_6142', 'ID_7558', 'ID_8187', 'ID_8581', 'ID_4271', 'ID_7024', 'ID_7564', 'ID_1570', 'ID_5062', 'ID_7281', 'ID_7468', 'ID_651', 'ID_3579', 'ID_7739', 'ID_8203', 'ID_6407', 'ID_5354', 'ID_1477', 'ID_3620', 'ID_1731', 'ID_7480', 'ID_3467', 'ID_71', 'ID_6375', 'ID_598', 'ID_7615', 'ID_3778', 'ID_7860', 'ID_270', 'ID_1257', 'ID_660', 'ID_6915', 'ID_6928', 'ID_5858', 'ID_5777', 'ID_4258', 'ID_3106', 'ID_5765', 'ID_617', 'ID_7588', 'ID_3592', 'ID_6839', 'ID_2139', 'ID_3242', 'ID_5554', 'ID_4686', 'ID_4254', 'ID_8648', 'ID_619', 'ID_2685', 'ID_7311', 'ID_3410', 'ID_6316', 'ID_2664', 'ID_6724', 'ID_5538', 'ID_179', 'ID_5231', 'ID_4892', 'ID_4305', 'ID_7342', 'ID_1140', 'ID_7803', 'ID_5937', 'ID_889', 'ID_6253', 'ID_2029', 'ID_2629', 'ID_1041', 'ID_273', 'ID_3113', 'ID_7726', 'ID_6769', 'ID_4528', 'ID_6122', 'ID_8438', 'ID_4493', 'ID_7951', 'ID_8323', 'ID_6424', 'ID_3626', 'ID_1548', 'ID_5775', 'ID_1519', 'ID_201', 'ID_744', 'ID_3343', 'ID_554', 'ID_1404', 'ID_5852', 'ID_7599', 'ID_3464', 'ID_5952', 'ID_7222', 'ID_2968', 'ID_5954', 'ID_2220', 'ID_1620', 'ID_4415', 'ID_5120', 'ID_4950', 'ID_3859', 'ID_7373', 'ID_1036', 'ID_8332', 'ID_670', 'ID_825', 'ID_599', 'ID_4369', 'ID_1031', 'ID_3480', 'ID_5237', 'ID_3425', 'ID_7894', 'ID_4725', 'ID_8045', 'ID_3466', 'ID_7441', 'ID_2509', 'ID_1940', 'ID_3846', 'ID_4203', 'ID_8108', 'ID_3426', 'ID_4559', 'ID_1309', 'ID_372', 'ID_8327', 'ID_3654', 'ID_7891', 'ID_449', 'ID_8320', 'ID_218', 'ID_1788', 'ID_1854', 'ID_6016', 'ID_2416', 'ID_689', 'ID_2422', 'ID_1322', 'ID_7048', 'ID_5802', 'ID_2231', 'ID_2727', 'ID_7440', 'ID_2851', 'ID_3075', 'ID_1661', 'ID_1639', 'ID_5461', 'ID_1726', 'ID_6945', 'ID_2439', 'ID_2814', 'ID_105', 'ID_5007', 'ID_348', 'ID_1071', 'ID_8008', 'ID_1911', 'ID_1243', 'ID_2750', 'ID_2588', 'ID_5704', 'ID_1997', 'ID_2141', 'ID_7212', 'ID_2254', 'ID_118', 'ID_176', 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'ID_1431', 'ID_5279', 'ID_4428', 'ID_2021', 'ID_8408', 'ID_3449', 'ID_1483', 'ID_4183', 'ID_2683', 'ID_6019', 'ID_5229', 'ID_1245', 'ID_4205', 'ID_2320', 'ID_5036', 'ID_122', 'ID_4319', 'ID_4754', 'ID_8277', 'ID_3267', 'ID_6975', 'ID_3764', 'ID_3844', 'ID_7979', 'ID_6374', 'ID_602', 'ID_1310', 'ID_5576', 'ID_2299', 'ID_2080', 'ID_7369', 'ID_3866', 'ID_7383', 'ID_3228', 'ID_6287', 'ID_180', 'ID_3566', 'ID_5399', 'ID_4424', 'ID_6630', 'ID_8419', 'ID_4948', 'ID_5466', 'ID_6199', 'ID_6383', 'ID_652', 'ID_3669', 'ID_6887', 'ID_8136', 'ID_513', 'ID_5151', 'ID_5780', 'ID_992', 'ID_1297', 'ID_7666', 'ID_3828', 'ID_3089', 'ID_3164', 'ID_281', 'ID_5117', 'ID_1440', 'ID_7571', 'ID_4460', 'ID_203', 'ID_8590', 'ID_1193', 'ID_7780', 'ID_4834', 'ID_1096', 'ID_3053', 'ID_422', 'ID_2556', 'ID_439', 'ID_4443', 'ID_1797', 'ID_3860', 'ID_3360', 'ID_5647', 'ID_7229', 'ID_3266', 'ID_8398', 'ID_1817', 'ID_5284', 'ID_4678', 'ID_4027', 'ID_4476', 'ID_5115', 'ID_6430', 'ID_4445', 'ID_1802', 'ID_7842', 'ID_2397', 'ID_4396', 'ID_4684', 'ID_6713', 'ID_723', 'ID_1294', 'ID_885', 'ID_3509', 'ID_3253', 'ID_2526', 'ID_7122', 'ID_6280', 'ID_467', 'ID_8283', 'ID_8655', 'ID_3666', 'ID_6291', 'ID_591', 'ID_5783', 'ID_6863', 'ID_4823', 'ID_7093', 'ID_3524', 'ID_6606', 'ID_664', 'ID_5709', 'ID_6548', 'ID_8429', 'ID_3424', 'ID_4720', 'ID_3024', 'ID_4153', 'ID_6778', 'ID_4966', 'ID_3213', 'ID_6132', 'ID_8070', 'ID_211', 'ID_5395', 'ID_5450', 'ID_1222', 'ID_3982', 'ID_8116', 'ID_2076', 'ID_5402', 'ID_7641', 'ID_5610', 'ID_3001', 'ID_5624', 'ID_5751', 'ID_6584', 'ID_7004', 'ID_519', 'ID_6673', 'ID_7117', 'ID_2047', 'ID_7385', 'ID_1392', 'ID_8265', 'ID_1533', 'ID_7318', 'ID_1628', 'ID_4925', 'ID_4952', 'ID_5713', 'ID_7764', 'ID_2178', 'ID_6307', 'ID_2594', 'ID_3440', 'ID_1088', 'ID_5469', 'ID_1879', 'ID_2745', 'ID_4015', 'ID_5686', 'ID_6954', 'ID_973', 'ID_6518', 'ID_4944', 'ID_1366', 'ID_4727', 'ID_1439', 'ID_679', 'ID_5951', 'ID_3275', 'ID_5094', 'ID_6337', 'ID_3924', 'ID_1220', 'ID_5102', 'ID_3648', 'ID_440', 'ID_6752', 'ID_87', 'ID_5930', 'ID_8360', 'ID_1029', 'ID_6624', 'ID_4275', 'ID_2521', 'ID_4236', 'ID_1416', 'ID_974', 'ID_5411', 'ID_4751', 'ID_2401', 'ID_6420', 'ID_32', 'ID_1396', 'ID_3497', 'ID_681', 'ID_5848', 'ID_2788', 'ID_2348', 'ID_5492', 'ID_4794', 'ID_2238', 'ID_7990', 'ID_5005', 'ID_7033', 'ID_7012', 'ID_3143', 'ID_3792', 'ID_7176', 'ID_4358', 'ID_7988', 'ID_4979', 'ID_5073', 'ID_4410', 'ID_6947', 'ID_3832', 'ID_4269', 'ID_2877', 'ID_1298', 'ID_2904', 'ID_762', 'ID_4994', 'ID_8619', 'ID_7597', 'ID_8165', 'ID_878', 'ID_6344', 'ID_4078', 'ID_530', 'ID_97', 'ID_6088', 'ID_1082', 'ID_6334', 'ID_1231', 'ID_1420', 'ID_3210', 'ID_8487', 'ID_5482', 'ID_1070', 'ID_450', 'ID_3910', 'ID_2095', 'ID_6726', 'ID_8549', 'ID_7364', 'ID_4075', 'ID_2214', 'ID_1667', 'ID_3171', 'ID_4915', 'ID_1560', 'ID_3842', 'ID_3460', 'ID_3740', 'ID_5121', 'ID_4139', 'ID_3063', 'ID_3521', 'ID_1908', 'ID_1858', 'ID_4534', 'ID_465', 'ID_3153', 'ID_8504', 'ID_6231', 'ID_6296', 'ID_196', 'ID_232', 'ID_8463', 'ID_4137', 'ID_7853', 'ID_4619', 'ID_4127', 'ID_6526', 'ID_1131', 'ID_583', 'ID_2225', 'ID_2790', 'ID_1679', 'ID_1818', 'ID_7843', 'ID_1719', 'ID_536', 'ID_1272', 'ID_8548', 'ID_3572', 'ID_5798', 'ID_8019', 'ID_7715', 'ID_454', 'ID_2597', 'ID_6315', 'ID_1952', 'ID_2135', 'ID_181', 'ID_3221', 'ID_7536', 'ID_5076', 'ID_7955', 'ID_5503', 'ID_1105', 'ID_6629', 'ID_6427', 'ID_780', 'ID_5373', 'ID_4074', 'ID_6130', 'ID_6119', 'ID_8565', 'ID_1644', 'ID_7693', 'ID_8381', 'ID_8243', 'ID_1332', 'ID_3706', 'ID_7697', 'ID_1273', 'ID_3411', 'ID_702', 'ID_96', 'ID_3470', 'ID_4897', 'ID_6415', 'ID_993', 'ID_7349', 'ID_5099', 'ID_7297', 'ID_6100', 'ID_5136', 'ID_5632', 'ID_1174', 'ID_8346', 'ID_5217', 'ID_160', 'ID_7234', 'ID_7079', 'ID_4577', 'ID_3687', 'ID_666', 'ID_4143', 'ID_4680', 'ID_5895', 'ID_6224', 'ID_3296', 'ID_6072', 'ID_8291', 'ID_5315', 'ID_5276', 'ID_786', 'ID_5722', 'ID_6664', 'ID_4866', 'ID_6382', 'ID_4523', 'ID_3190', 'ID_5894', 'ID_1676', 'ID_3983', 'ID_6356', 'ID_5598', 'ID_5239', 'ID_4841', 'ID_7126', 'ID_6562', 'ID_1585', 'ID_3347', 'ID_3661', 'ID_4704', 'ID_6943', 'ID_3918', 'ID_6131', 'ID_2887', 'ID_7076', 'ID_7344', 'ID_4992', 'ID_6210', 'ID_931', 'ID_4338', 'ID_5224', 'ID_582', 'ID_5807', 'ID_3735', 'ID_4530', 'ID_3797', 'ID_4518', 'ID_6064', 'ID_2769', 'ID_721', 'ID_3274', 'ID_3057', 'ID_883', 'ID_6937', 'ID_8446', 'ID_6192', 'ID_4965', 'ID_2756', 'ID_3060', 'ID_2321', 'ID_6166', 'ID_4624', 'ID_3043', 'ID_1904', 'ID_7283', 'ID_2265', 'ID_4411', 'ID_2832', 'ID_7087', 'ID_6175', 'ID_3555', 'ID_3344', 'ID_4097', 'ID_2427', 'ID_163', 'ID_8383'), dtype=tf.string, default_value=-1, num_oov_buckets=0)).\n",
"DEBUG:tensorflow:Transforming feature_column VocabularyListCategoricalColumn(key='Restaurant', vocabulary_list=('ID_7618', 'ID_5074', 'ID_1762', 'ID_1209', 'ID_3475', 'ID_7530', 'ID_473', 'ID_4708', 'ID_6502', 'ID_1638', 'ID_3793', 'ID_4545', 'ID_5002', 'ID_4778', 'ID_5593', 'ID_506', 'ID_5489', 'ID_6738', 'ID_712', 'ID_8485', 'ID_773', 'ID_7575', 'ID_390', 'ID_4446', 'ID_3629', 'ID_6428', 'ID_5155', 'ID_164', 'ID_5191', 'ID_1733', 'ID_1870', 'ID_3693', 'ID_1787', 'ID_4202', 'ID_2928', 'ID_5065', 'ID_5766', 'ID_1136', 'ID_1789', 'ID_5459', 'ID_31', 'ID_4839', 'ID_745', 'ID_2193', 'ID_3591', 'ID_4578', 'ID_6531', 'ID_6352', 'ID_1546', 'ID_6223', 'ID_8420', 'ID_8496', 'ID_7750', 'ID_7132', 'ID_941', 'ID_7159', 'ID_8184', 'ID_5773', 'ID_2815', 'ID_6229', 'ID_2892', 'ID_7090', 'ID_2763', 'ID_6561', 'ID_7393', 'ID_2221', 'ID_7525', 'ID_6475', 'ID_4880', 'ID_2723', 'ID_8085', 'ID_3152', 'ID_6153', 'ID_6289', 'ID_7394', 'ID_2402', 'ID_2772', 'ID_4652', 'ID_2934', 'ID_5066', 'ID_7490', 'ID_3352', 'ID_8248', 'ID_7356', 'ID_3596', 'ID_4155', 'ID_2505', 'ID_1995', 'ID_4654', 'ID_7542', 'ID_5567', 'ID_3116', 'ID_6261', 'ID_5111', 'ID_7632', 'ID_8572', 'ID_2694', 'ID_5656', 'ID_4527', 'ID_6484', 'ID_5681', 'ID_7235', 'ID_4863', 'ID_7591', 'ID_3006', 'ID_4429', 'ID_7924', 'ID_5516', 'ID_7163', 'ID_577', 'ID_2811', 'ID_4360', 'ID_6774', 'ID_5665', 'ID_1260', 'ID_1426', 'ID_4444', 'ID_2929', 'ID_5602', 'ID_1422', 'ID_3431', 'ID_6322', 'ID_5122', 'ID_8170', 'ID_3332', 'ID_4176', 'ID_5067', 'ID_7683', 'ID_5446', 'ID_1771', 'ID_3454', 'ID_7711', 'ID_4501', 'ID_4091', 'ID_3457', 'ID_8430', 'ID_1849', 'ID_642', 'ID_1296', 'ID_7010', 'ID_5393', 'ID_6158', 'ID_3912', 'ID_4172', 'ID_4453', 'ID_3434', 'ID_5898', 'ID_5376', 'ID_6599', 'ID_6444', 'ID_1840', 'ID_6913', 'ID_7210', 'ID_1813', 'ID_299', 'ID_2376', 'ID_2194', 'ID_1008', 'ID_629', 'ID_2301', 'ID_6751', 'ID_4230', 'ID_6489', 'ID_5478', 'ID_8111', 'ID_3422', 'ID_5025', 'ID_2613', 'ID_7142', 'ID_498', 'ID_944', 'ID_3047', 'ID_3197', 'ID_714', 'ID_2464', 'ID_5720', 'ID_3674', 'ID_6840', 'ID_6154', 'ID_1752', 'ID_6163', 'ID_330', 'ID_691', 'ID_3462', 'ID_7544', 'ID_4512', 'ID_15', 'ID_7200', 'ID_7027', 'ID_6841', 'ID_5530', 'ID_6099', 'ID_2766', 'ID_8096', 'ID_4910', 'ID_1743', 'ID_7202', 'ID_6474', 'ID_3550', 'ID_7148', 'ID_4688', 'ID_6549', 'ID_112', 'ID_8066', 'ID_5012', 'ID_2162', 'ID_657', 'ID_2882', 'ID_6015', 'ID_2960', 'ID_1890', 'ID_4974', 'ID_249', 'ID_2718', 'ID_2185', 'ID_8536', 'ID_4716', 'ID_3834', 'ID_6170', 'ID_6544', 'ID_5321', 'ID_639', 'ID_1635', 'ID_7905', 'ID_8151', 'ID_888', 'ID_8106', 'ID_6864', 'ID_6906', 'ID_7299', 'ID_8237', 'ID_3588', 'ID_3712', 'ID_1256', 'ID_6273', 'ID_1240', 'ID_7007', 'ID_5301', 'ID_3459', 'ID_814', 'ID_7120', 'ID_5008', 'ID_8104', 'ID_436', 'ID_4817', 'ID_6618', 'ID_7713', 'ID_34', 'ID_6659', 'ID_896', 'ID_3413', 'ID_206', 'ID_2560', 'ID_4497', 'ID_838', 'ID_4182', 'ID_1555', 'ID_3452', 'ID_7139', 'ID_7323', 'ID_699', 'ID_6491', 'ID_7538', 'ID_6653', 'ID_4216', 'ID_7078', 'ID_2559', 'ID_3054', 'ID_6377', 'ID_2498', 'ID_2165', 'ID_417', 'ID_4414', 'ID_3395', 'ID_3392', 'ID_1799', 'ID_2984', 'ID_6951', 'ID_1156', 'ID_8596', 'ID_3416', 'ID_3895', 'ID_1736', 'ID_7654', 'ID_811', 'ID_7249', 'ID_7365', 'ID_8643', 'ID_387', 'ID_7743', 'ID_4352', 'ID_8208', 'ID_490', 'ID_6111', 'ID_6402', 'ID_8109', 'ID_4734', 'ID_342', 'ID_837', 'ID_397', 'ID_3733', 'ID_100', 'ID_5578', 'ID_2830', 'ID_6832', 'ID_7272', 'ID_8336', 'ID_7503', 'ID_4815', 'ID_1792', 'ID_7072', 'ID_2794', 'ID_8158', 'ID_2083', 'ID_2846', 'ID_244', 'ID_6462', 'ID_4955', 'ID_2684', 'ID_7302', 'ID_462', 'ID_5585', 'ID_495', 'ID_8525', 'ID_6846', 'ID_1670', 'ID_1263', 'ID_43', 'ID_6447', 'ID_7230', 'ID_178', 'ID_4292', 'ID_7833', 'ID_1254', 'ID_4873', 'ID_7884', 'ID_5267', 'ID_7312', 'ID_529', 'ID_3034', 'ID_1207', 'ID_694', 'ID_783', 'ID_4252', 'ID_3011', 'ID_7080', 'ID_3373', 'ID_4648', 'ID_1696', 'ID_3969', 'ID_4436', 'ID_5897', 'ID_2032', 'ID_5996', 'ID_4320', 'ID_6929', 'ID_4700', 'ID_6171', 'ID_3775', 'ID_3985', 'ID_5654', 'ID_2677', 'ID_5254', 'ID_3871', 'ID_389', 'ID_1034', 'ID_3194', 'ID_6142', 'ID_7558', 'ID_8187', 'ID_8581', 'ID_4271', 'ID_7024', 'ID_7564', 'ID_1570', 'ID_5062', 'ID_7281', 'ID_7468', 'ID_651', 'ID_3579', 'ID_7739', 'ID_8203', 'ID_6407', 'ID_5354', 'ID_1477', 'ID_3620', 'ID_1731', 'ID_7480', 'ID_3467', 'ID_71', 'ID_6375', 'ID_598', 'ID_7615', 'ID_3778', 'ID_7860', 'ID_270', 'ID_1257', 'ID_660', 'ID_6915', 'ID_6928', 'ID_5858', 'ID_5777', 'ID_4258', 'ID_3106', 'ID_5765', 'ID_617', 'ID_7588', 'ID_3592', 'ID_6839', 'ID_2139', 'ID_3242', 'ID_5554', 'ID_4686', 'ID_4254', 'ID_8648', 'ID_619', 'ID_2685', 'ID_7311', 'ID_3410', 'ID_6316', 'ID_2664', 'ID_6724', 'ID_5538', 'ID_179', 'ID_5231', 'ID_4892', 'ID_4305', 'ID_7342', 'ID_1140', 'ID_7803', 'ID_5937', 'ID_889', 'ID_6253', 'ID_2029', 'ID_2629', 'ID_1041', 'ID_273', 'ID_3113', 'ID_7726', 'ID_6769', 'ID_4528', 'ID_6122', 'ID_8438', 'ID_4493', 'ID_7951', 'ID_8323', 'ID_6424', 'ID_3626', 'ID_1548', 'ID_5775', 'ID_1519', 'ID_201', 'ID_744', 'ID_3343', 'ID_554', 'ID_1404', 'ID_5852', 'ID_7599', 'ID_3464', 'ID_5952', 'ID_7222', 'ID_2968', 'ID_5954', 'ID_2220', 'ID_1620', 'ID_4415', 'ID_5120', 'ID_4950', 'ID_3859', 'ID_7373', 'ID_1036', 'ID_8332', 'ID_670', 'ID_825', 'ID_599', 'ID_4369', 'ID_1031', 'ID_3480', 'ID_5237', 'ID_3425', 'ID_7894', 'ID_4725', 'ID_8045', 'ID_3466', 'ID_7441', 'ID_2509', 'ID_1940', 'ID_3846', 'ID_4203', 'ID_8108', 'ID_3426', 'ID_4559', 'ID_1309', 'ID_372', 'ID_8327', 'ID_3654', 'ID_7891', 'ID_449', 'ID_8320', 'ID_218', 'ID_1788', 'ID_1854', 'ID_6016', 'ID_2416', 'ID_689', 'ID_2422', 'ID_1322', 'ID_7048', 'ID_5802', 'ID_2231', 'ID_2727', 'ID_7440', 'ID_2851', 'ID_3075', 'ID_1661', 'ID_1639', 'ID_5461', 'ID_1726', 'ID_6945', 'ID_2439', 'ID_2814', 'ID_105', 'ID_5007', 'ID_348', 'ID_1071', 'ID_8008', 'ID_1911', 'ID_1243', 'ID_2750', 'ID_2588', 'ID_5704', 'ID_1997', 'ID_2141', 'ID_7212', 'ID_2254', 'ID_118', 'ID_176', 'ID_3042', 'ID_893', 'ID_7515', 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'ID_4428', 'ID_2021', 'ID_8408', 'ID_3449', 'ID_1483', 'ID_4183', 'ID_2683', 'ID_6019', 'ID_5229', 'ID_1245', 'ID_4205', 'ID_2320', 'ID_5036', 'ID_122', 'ID_4319', 'ID_4754', 'ID_8277', 'ID_3267', 'ID_6975', 'ID_3764', 'ID_3844', 'ID_7979', 'ID_6374', 'ID_602', 'ID_1310', 'ID_5576', 'ID_2299', 'ID_2080', 'ID_7369', 'ID_3866', 'ID_7383', 'ID_3228', 'ID_6287', 'ID_180', 'ID_3566', 'ID_5399', 'ID_4424', 'ID_6630', 'ID_8419', 'ID_4948', 'ID_5466', 'ID_6199', 'ID_6383', 'ID_652', 'ID_3669', 'ID_6887', 'ID_8136', 'ID_513', 'ID_5151', 'ID_5780', 'ID_992', 'ID_1297', 'ID_7666', 'ID_3828', 'ID_3089', 'ID_3164', 'ID_281', 'ID_5117', 'ID_1440', 'ID_7571', 'ID_4460', 'ID_203', 'ID_8590', 'ID_1193', 'ID_7780', 'ID_4834', 'ID_1096', 'ID_3053', 'ID_422', 'ID_2556', 'ID_439', 'ID_4443', 'ID_1797', 'ID_3860', 'ID_3360', 'ID_5647', 'ID_7229', 'ID_3266', 'ID_8398', 'ID_1817', 'ID_5284', 'ID_4678', 'ID_4027', 'ID_4476', 'ID_5115', 'ID_6430', 'ID_4445', 'ID_1802', 'ID_7842', 'ID_2397', 'ID_4396', 'ID_4684', 'ID_6713', 'ID_723', 'ID_1294', 'ID_885', 'ID_3509', 'ID_3253', 'ID_2526', 'ID_7122', 'ID_6280', 'ID_467', 'ID_8283', 'ID_8655', 'ID_3666', 'ID_6291', 'ID_591', 'ID_5783', 'ID_6863', 'ID_4823', 'ID_7093', 'ID_3524', 'ID_6606', 'ID_664', 'ID_5709', 'ID_6548', 'ID_8429', 'ID_3424', 'ID_4720', 'ID_3024', 'ID_4153', 'ID_6778', 'ID_4966', 'ID_3213', 'ID_6132', 'ID_8070', 'ID_211', 'ID_5395', 'ID_5450', 'ID_1222', 'ID_3982', 'ID_8116', 'ID_2076', 'ID_5402', 'ID_7641', 'ID_5610', 'ID_3001', 'ID_5624', 'ID_5751', 'ID_6584', 'ID_7004', 'ID_519', 'ID_6673', 'ID_7117', 'ID_2047', 'ID_7385', 'ID_1392', 'ID_8265', 'ID_1533', 'ID_7318', 'ID_1628', 'ID_4925', 'ID_4952', 'ID_5713', 'ID_7764', 'ID_2178', 'ID_6307', 'ID_2594', 'ID_3440', 'ID_1088', 'ID_5469', 'ID_1879', 'ID_2745', 'ID_4015', 'ID_5686', 'ID_6954', 'ID_973', 'ID_6518', 'ID_4944', 'ID_1366', 'ID_4727', 'ID_1439', 'ID_679', 'ID_5951', 'ID_3275', 'ID_5094', 'ID_6337', 'ID_3924', 'ID_1220', 'ID_5102', 'ID_3648', 'ID_440', 'ID_6752', 'ID_87', 'ID_5930', 'ID_8360', 'ID_1029', 'ID_6624', 'ID_4275', 'ID_2521', 'ID_4236', 'ID_1416', 'ID_974', 'ID_5411', 'ID_4751', 'ID_2401', 'ID_6420', 'ID_32', 'ID_1396', 'ID_3497', 'ID_681', 'ID_5848', 'ID_2788', 'ID_2348', 'ID_5492', 'ID_4794', 'ID_2238', 'ID_7990', 'ID_5005', 'ID_7033', 'ID_7012', 'ID_3143', 'ID_3792', 'ID_7176', 'ID_4358', 'ID_7988', 'ID_4979', 'ID_5073', 'ID_4410', 'ID_6947', 'ID_3832', 'ID_4269', 'ID_2877', 'ID_1298', 'ID_2904', 'ID_762', 'ID_4994', 'ID_8619', 'ID_7597', 'ID_8165', 'ID_878', 'ID_6344', 'ID_4078', 'ID_530', 'ID_97', 'ID_6088', 'ID_1082', 'ID_6334', 'ID_1231', 'ID_1420', 'ID_3210', 'ID_8487', 'ID_5482', 'ID_1070', 'ID_450', 'ID_3910', 'ID_2095', 'ID_6726', 'ID_8549', 'ID_7364', 'ID_4075', 'ID_2214', 'ID_1667', 'ID_3171', 'ID_4915', 'ID_1560', 'ID_3842', 'ID_3460', 'ID_3740', 'ID_5121', 'ID_4139', 'ID_3063', 'ID_3521', 'ID_1908', 'ID_1858', 'ID_4534', 'ID_465', 'ID_3153', 'ID_8504', 'ID_6231', 'ID_6296', 'ID_196', 'ID_232', 'ID_8463', 'ID_4137', 'ID_7853', 'ID_4619', 'ID_4127', 'ID_6526', 'ID_1131', 'ID_583', 'ID_2225', 'ID_2790', 'ID_1679', 'ID_1818', 'ID_7843', 'ID_1719', 'ID_536', 'ID_1272', 'ID_8548', 'ID_3572', 'ID_5798', 'ID_8019', 'ID_7715', 'ID_454', 'ID_2597', 'ID_6315', 'ID_1952', 'ID_2135', 'ID_181', 'ID_3221', 'ID_7536', 'ID_5076', 'ID_7955', 'ID_5503', 'ID_1105', 'ID_6629', 'ID_6427', 'ID_780', 'ID_5373', 'ID_4074', 'ID_6130', 'ID_6119', 'ID_8565', 'ID_1644', 'ID_7693', 'ID_8381', 'ID_8243', 'ID_1332', 'ID_3706', 'ID_7697', 'ID_1273', 'ID_3411', 'ID_702', 'ID_96', 'ID_3470', 'ID_4897', 'ID_6415', 'ID_993', 'ID_7349', 'ID_5099', 'ID_7297', 'ID_6100', 'ID_5136', 'ID_5632', 'ID_1174', 'ID_8346', 'ID_5217', 'ID_160', 'ID_7234', 'ID_7079', 'ID_4577', 'ID_3687', 'ID_666', 'ID_4143', 'ID_4680', 'ID_5895', 'ID_6224', 'ID_3296', 'ID_6072', 'ID_8291', 'ID_5315', 'ID_5276', 'ID_786', 'ID_5722', 'ID_6664', 'ID_4866', 'ID_6382', 'ID_4523', 'ID_3190', 'ID_5894', 'ID_1676', 'ID_3983', 'ID_6356', 'ID_5598', 'ID_5239', 'ID_4841', 'ID_7126', 'ID_6562', 'ID_1585', 'ID_3347', 'ID_3661', 'ID_4704', 'ID_6943', 'ID_3918', 'ID_6131', 'ID_2887', 'ID_7076', 'ID_7344', 'ID_4992', 'ID_6210', 'ID_931', 'ID_4338', 'ID_5224', 'ID_582', 'ID_5807', 'ID_3735', 'ID_4530', 'ID_3797', 'ID_4518', 'ID_6064', 'ID_2769', 'ID_721', 'ID_3274', 'ID_3057', 'ID_883', 'ID_6937', 'ID_8446', 'ID_6192', 'ID_4965', 'ID_2756', 'ID_3060', 'ID_2321', 'ID_6166', 'ID_4624', 'ID_3043', 'ID_1904', 'ID_7283', 'ID_2265', 'ID_4411', 'ID_2832', 'ID_7087', 'ID_6175', 'ID_3555', 'ID_3344', 'ID_4097', 'ID_2427', 'ID_163', 'ID_8383'), dtype=tf.string, default_value=-1, num_oov_buckets=0).\n",
"DEBUG:tensorflow:Transforming feature_column NumericColumn(key='Reviews_Cleaned', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None).\n",
"DEBUG:tensorflow:Transforming feature_column NumericColumn(key='Votes_Cleaned', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None).\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-11-27T11:06:03Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from /tmp/tmpuxveqctz/model.ckpt-1500\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [150/1500]\n",
"INFO:tensorflow:Evaluation [300/1500]\n",
"INFO:tensorflow:Evaluation [450/1500]\n",
"INFO:tensorflow:Evaluation [600/1500]\n",
"INFO:tensorflow:Evaluation [750/1500]\n",
"INFO:tensorflow:Evaluation [900/1500]\n",
"INFO:tensorflow:Evaluation [1050/1500]\n",
"INFO:tensorflow:Evaluation [1200/1500]\n",
"INFO:tensorflow:Evaluation [1350/1500]\n",
"INFO:tensorflow:Evaluation [1500/1500]\n",
"INFO:tensorflow:Finished evaluation at 2019-11-27-11:06:18\n",
"INFO:tensorflow:Saving dict for global step 1500: accuracy = 0.58907294, average_loss = 1.7799981, global_step = 1500, loss = 1.7799981\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 1500: /tmp/tmpuxveqctz/model.ckpt-1500\n"
],
"name": "stdout"
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"{'accuracy': 0.58907294,\n",
" 'average_loss': 1.7799981,\n",
" 'global_step': 1500,\n",
" 'loss': 1.7799981}"
]
},
"metadata": {
"tags": []
},
"execution_count": 19
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "t3Vlv2M9w2eF",
"colab_type": "code",
"outputId": "a5397ad5-94f5-4463-f7a1-3d9db45faf65",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 632
}
},
"source": [
"classifier2.evaluate(train_inpf, steps=num_steps_2)"
],
"execution_count": 20,
"outputs": [
{
"output_type": "stream",
"text": [
"INFO:tensorflow:Calling model_fn.\n",
"DEBUG:tensorflow:Transforming feature_column NumericColumn(key='Average_Cost_Cleaned', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None).\n",
"DEBUG:tensorflow:Transforming feature_column IndicatorColumn(categorical_column=VocabularyListCategoricalColumn(key='Cuisines_Feature_1', vocabulary_list=('bakery', 'chinese', 'cafe', 'north indian', 'south indian', 'fast food', 'pizza', 'malaysian', 'desserts', 'biryani', 'italian', 'parsi', 'burger', 'street food', 'rolls', 'asian', 'sandwich', 'maharashtrian', 'thai', 'mithai', 'salad', 'vietnamese', 'beverages', 'healthy food', 'finger food', 'continental', 'mangalorean', 'momos', 'german', 'mughlai', 'paan', 'ice cream', 'tibetan', 'bbq', 'arabian', 'japanese', 'rajasthani', 'andhra', 'seafood', 'sushi', 'mishti', 'mexican', 'kerala', 'juices', 'modern indian', 'bengali', 'european', 'bar food', 'tea', 'iranian', 'north eastern', 'raw meats', 'hyderabadi', 'american', 'korean', 'wraps', 'coffee', 'lebanese', 'awadhi', 'kebab', 'mediterranean', 'afghan', 'bihari', 'brazilian', 'portuguese', 'gujarati', 'tamil', 'malwani', 'konkan', 'odia', 'frozen yogurt', 'naga', 'turkish', 'lucknowi', 'goan', 'assamese', 'african', 'middle eastern', 'kashmiri', 'french', 'indian', 'chettinad', 'hot dogs', 'bohri'), dtype=tf.string, default_value=-1, num_oov_buckets=0)).\n",
"DEBUG:tensorflow:Transforming feature_column VocabularyListCategoricalColumn(key='Cuisines_Feature_1', vocabulary_list=('bakery', 'chinese', 'cafe', 'north indian', 'south indian', 'fast food', 'pizza', 'malaysian', 'desserts', 'biryani', 'italian', 'parsi', 'burger', 'street food', 'rolls', 'asian', 'sandwich', 'maharashtrian', 'thai', 'mithai', 'salad', 'vietnamese', 'beverages', 'healthy food', 'finger food', 'continental', 'mangalorean', 'momos', 'german', 'mughlai', 'paan', 'ice cream', 'tibetan', 'bbq', 'arabian', 'japanese', 'rajasthani', 'andhra', 'seafood', 'sushi', 'mishti', 'mexican', 'kerala', 'juices', 'modern indian', 'bengali', 'european', 'bar food', 'tea', 'iranian', 'north eastern', 'raw meats', 'hyderabadi', 'american', 'korean', 'wraps', 'coffee', 'lebanese', 'awadhi', 'kebab', 'mediterranean', 'afghan', 'bihari', 'brazilian', 'portuguese', 'gujarati', 'tamil', 'malwani', 'konkan', 'odia', 'frozen yogurt', 'naga', 'turkish', 'lucknowi', 'goan', 'assamese', 'african', 'middle eastern', 'kashmiri', 'french', 'indian', 'chettinad', 'hot dogs', 'bohri'), dtype=tf.string, default_value=-1, num_oov_buckets=0).\n",
"DEBUG:tensorflow:Transforming feature_column IndicatorColumn(categorical_column=VocabularyListCategoricalColumn(key='Location_Feature_1', vocabulary_list=('mico layout', 'delhi high court', 'delhi cantt.', 'mumbai central', 'dockyard road', 'hyderabad public school', 'babarpur', 'laxman vihar industrial area', 'majestic', 'nathan road', 'fti college', 'musi nagar', 'sandhurst road', 'd-block', 'pune university', 'sector 63a', 'delhi administration flats', 'delhi university-gtb nagar', 'sector 3', 'sector 1', 'rmz centennial', 'tejas nagar colony', 'mg road', 'yerawada', 'sector 14', 'gora bazar', 'noorkhan bazaar', 'raja bazar', 'chandni chowk', 'panjetan colony', 'jaya nagar', 'chatta bazaar', 'moulali', 'tiretti', 'btm layout 1'), dtype=tf.string, default_value=-1, num_oov_buckets=0)).\n",
"DEBUG:tensorflow:Transforming feature_column VocabularyListCategoricalColumn(key='Location_Feature_1', vocabulary_list=('mico layout', 'delhi high court', 'delhi cantt.', 'mumbai central', 'dockyard road', 'hyderabad public school', 'babarpur', 'laxman vihar industrial area', 'majestic', 'nathan road', 'fti college', 'musi nagar', 'sandhurst road', 'd-block', 'pune university', 'sector 63a', 'delhi administration flats', 'delhi university-gtb nagar', 'sector 3', 'sector 1', 'rmz centennial', 'tejas nagar colony', 'mg road', 'yerawada', 'sector 14', 'gora bazar', 'noorkhan bazaar', 'raja bazar', 'chandni chowk', 'panjetan colony', 'jaya nagar', 'chatta bazaar', 'moulali', 'tiretti', 'btm layout 1'), dtype=tf.string, default_value=-1, num_oov_buckets=0).\n",
"DEBUG:tensorflow:Transforming feature_column NumericColumn(key='Minimum_Order_Cleaned', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None).\n",
"DEBUG:tensorflow:Transforming feature_column NumericColumn(key='Rating_Cleaned', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None).\n",
"DEBUG:tensorflow:Transforming feature_column IndicatorColumn(categorical_column=VocabularyListCategoricalColumn(key='Restaurant', vocabulary_list=('ID_7618', 'ID_5074', 'ID_1762', 'ID_1209', 'ID_3475', 'ID_7530', 'ID_473', 'ID_4708', 'ID_6502', 'ID_1638', 'ID_3793', 'ID_4545', 'ID_5002', 'ID_4778', 'ID_5593', 'ID_506', 'ID_5489', 'ID_6738', 'ID_712', 'ID_8485', 'ID_773', 'ID_7575', 'ID_390', 'ID_4446', 'ID_3629', 'ID_6428', 'ID_5155', 'ID_164', 'ID_5191', 'ID_1733', 'ID_1870', 'ID_3693', 'ID_1787', 'ID_4202', 'ID_2928', 'ID_5065', 'ID_5766', 'ID_1136', 'ID_1789', 'ID_5459', 'ID_31', 'ID_4839', 'ID_745', 'ID_2193', 'ID_3591', 'ID_4578', 'ID_6531', 'ID_6352', 'ID_1546', 'ID_6223', 'ID_8420', 'ID_8496', 'ID_7750', 'ID_7132', 'ID_941', 'ID_7159', 'ID_8184', 'ID_5773', 'ID_2815', 'ID_6229', 'ID_2892', 'ID_7090', 'ID_2763', 'ID_6561', 'ID_7393', 'ID_2221', 'ID_7525', 'ID_6475', 'ID_4880', 'ID_2723', 'ID_8085', 'ID_3152', 'ID_6153', 'ID_6289', 'ID_7394', 'ID_2402', 'ID_2772', 'ID_4652', 'ID_2934', 'ID_5066', 'ID_7490', 'ID_3352', 'ID_8248', 'ID_7356', 'ID_3596', 'ID_4155', 'ID_2505', 'ID_1995', 'ID_4654', 'ID_7542', 'ID_5567', 'ID_3116', 'ID_6261', 'ID_5111', 'ID_7632', 'ID_8572', 'ID_2694', 'ID_5656', 'ID_4527', 'ID_6484', 'ID_5681', 'ID_7235', 'ID_4863', 'ID_7591', 'ID_3006', 'ID_4429', 'ID_7924', 'ID_5516', 'ID_7163', 'ID_577', 'ID_2811', 'ID_4360', 'ID_6774', 'ID_5665', 'ID_1260', 'ID_1426', 'ID_4444', 'ID_2929', 'ID_5602', 'ID_1422', 'ID_3431', 'ID_6322', 'ID_5122', 'ID_8170', 'ID_3332', 'ID_4176', 'ID_5067', 'ID_7683', 'ID_5446', 'ID_1771', 'ID_3454', 'ID_7711', 'ID_4501', 'ID_4091', 'ID_3457', 'ID_8430', 'ID_1849', 'ID_642', 'ID_1296', 'ID_7010', 'ID_5393', 'ID_6158', 'ID_3912', 'ID_4172', 'ID_4453', 'ID_3434', 'ID_5898', 'ID_5376', 'ID_6599', 'ID_6444', 'ID_1840', 'ID_6913', 'ID_7210', 'ID_1813', 'ID_299', 'ID_2376', 'ID_2194', 'ID_1008', 'ID_629', 'ID_2301', 'ID_6751', 'ID_4230', 'ID_6489', 'ID_5478', 'ID_8111', 'ID_3422', 'ID_5025', 'ID_2613', 'ID_7142', 'ID_498', 'ID_944', 'ID_3047', 'ID_3197', 'ID_714', 'ID_2464', 'ID_5720', 'ID_3674', 'ID_6840', 'ID_6154', 'ID_1752', 'ID_6163', 'ID_330', 'ID_691', 'ID_3462', 'ID_7544', 'ID_4512', 'ID_15', 'ID_7200', 'ID_7027', 'ID_6841', 'ID_5530', 'ID_6099', 'ID_2766', 'ID_8096', 'ID_4910', 'ID_1743', 'ID_7202', 'ID_6474', 'ID_3550', 'ID_7148', 'ID_4688', 'ID_6549', 'ID_112', 'ID_8066', 'ID_5012', 'ID_2162', 'ID_657', 'ID_2882', 'ID_6015', 'ID_2960', 'ID_1890', 'ID_4974', 'ID_249', 'ID_2718', 'ID_2185', 'ID_8536', 'ID_4716', 'ID_3834', 'ID_6170', 'ID_6544', 'ID_5321', 'ID_639', 'ID_1635', 'ID_7905', 'ID_8151', 'ID_888', 'ID_8106', 'ID_6864', 'ID_6906', 'ID_7299', 'ID_8237', 'ID_3588', 'ID_3712', 'ID_1256', 'ID_6273', 'ID_1240', 'ID_7007', 'ID_5301', 'ID_3459', 'ID_814', 'ID_7120', 'ID_5008', 'ID_8104', 'ID_436', 'ID_4817', 'ID_6618', 'ID_7713', 'ID_34', 'ID_6659', 'ID_896', 'ID_3413', 'ID_206', 'ID_2560', 'ID_4497', 'ID_838', 'ID_4182', 'ID_1555', 'ID_3452', 'ID_7139', 'ID_7323', 'ID_699', 'ID_6491', 'ID_7538', 'ID_6653', 'ID_4216', 'ID_7078', 'ID_2559', 'ID_3054', 'ID_6377', 'ID_2498', 'ID_2165', 'ID_417', 'ID_4414', 'ID_3395', 'ID_3392', 'ID_1799', 'ID_2984', 'ID_6951', 'ID_1156', 'ID_8596', 'ID_3416', 'ID_3895', 'ID_1736', 'ID_7654', 'ID_811', 'ID_7249', 'ID_7365', 'ID_8643', 'ID_387', 'ID_7743', 'ID_4352', 'ID_8208', 'ID_490', 'ID_6111', 'ID_6402', 'ID_8109', 'ID_4734', 'ID_342', 'ID_837', 'ID_397', 'ID_3733', 'ID_100', 'ID_5578', 'ID_2830', 'ID_6832', 'ID_7272', 'ID_8336', 'ID_7503', 'ID_4815', 'ID_1792', 'ID_7072', 'ID_2794', 'ID_8158', 'ID_2083', 'ID_2846', 'ID_244', 'ID_6462', 'ID_4955', 'ID_2684', 'ID_7302', 'ID_462', 'ID_5585', 'ID_495', 'ID_8525', 'ID_6846', 'ID_1670', 'ID_1263', 'ID_43', 'ID_6447', 'ID_7230', 'ID_178', 'ID_4292', 'ID_7833', 'ID_1254', 'ID_4873', 'ID_7884', 'ID_5267', 'ID_7312', 'ID_529', 'ID_3034', 'ID_1207', 'ID_694', 'ID_783', 'ID_4252', 'ID_3011', 'ID_7080', 'ID_3373', 'ID_4648', 'ID_1696', 'ID_3969', 'ID_4436', 'ID_5897', 'ID_2032', 'ID_5996', 'ID_4320', 'ID_6929', 'ID_4700', 'ID_6171', 'ID_3775', 'ID_3985', 'ID_5654', 'ID_2677', 'ID_5254', 'ID_3871', 'ID_389', 'ID_1034', 'ID_3194', 'ID_6142', 'ID_7558', 'ID_8187', 'ID_8581', 'ID_4271', 'ID_7024', 'ID_7564', 'ID_1570', 'ID_5062', 'ID_7281', 'ID_7468', 'ID_651', 'ID_3579', 'ID_7739', 'ID_8203', 'ID_6407', 'ID_5354', 'ID_1477', 'ID_3620', 'ID_1731', 'ID_7480', 'ID_3467', 'ID_71', 'ID_6375', 'ID_598', 'ID_7615', 'ID_3778', 'ID_7860', 'ID_270', 'ID_1257', 'ID_660', 'ID_6915', 'ID_6928', 'ID_5858', 'ID_5777', 'ID_4258', 'ID_3106', 'ID_5765', 'ID_617', 'ID_7588', 'ID_3592', 'ID_6839', 'ID_2139', 'ID_3242', 'ID_5554', 'ID_4686', 'ID_4254', 'ID_8648', 'ID_619', 'ID_2685', 'ID_7311', 'ID_3410', 'ID_6316', 'ID_2664', 'ID_6724', 'ID_5538', 'ID_179', 'ID_5231', 'ID_4892', 'ID_4305', 'ID_7342', 'ID_1140', 'ID_7803', 'ID_5937', 'ID_889', 'ID_6253', 'ID_2029', 'ID_2629', 'ID_1041', 'ID_273', 'ID_3113', 'ID_7726', 'ID_6769', 'ID_4528', 'ID_6122', 'ID_8438', 'ID_4493', 'ID_7951', 'ID_8323', 'ID_6424', 'ID_3626', 'ID_1548', 'ID_5775', 'ID_1519', 'ID_201', 'ID_744', 'ID_3343', 'ID_554', 'ID_1404', 'ID_5852', 'ID_7599', 'ID_3464', 'ID_5952', 'ID_7222', 'ID_2968', 'ID_5954', 'ID_2220', 'ID_1620', 'ID_4415', 'ID_5120', 'ID_4950', 'ID_3859', 'ID_7373', 'ID_1036', 'ID_8332', 'ID_670', 'ID_825', 'ID_599', 'ID_4369', 'ID_1031', 'ID_3480', 'ID_5237', 'ID_3425', 'ID_7894', 'ID_4725', 'ID_8045', 'ID_3466', 'ID_7441', 'ID_2509', 'ID_1940', 'ID_3846', 'ID_4203', 'ID_8108', 'ID_3426', 'ID_4559', 'ID_1309', 'ID_372', 'ID_8327', 'ID_3654', 'ID_7891', 'ID_449', 'ID_8320', 'ID_218', 'ID_1788', 'ID_1854', 'ID_6016', 'ID_2416', 'ID_689', 'ID_2422', 'ID_1322', 'ID_7048', 'ID_5802', 'ID_2231', 'ID_2727', 'ID_7440', 'ID_2851', 'ID_3075', 'ID_1661', 'ID_1639', 'ID_5461', 'ID_1726', 'ID_6945', 'ID_2439', 'ID_2814', 'ID_105', 'ID_5007', 'ID_348', 'ID_1071', 'ID_8008', 'ID_1911', 'ID_1243', 'ID_2750', 'ID_2588', 'ID_5704', 'ID_1997', 'ID_2141', 'ID_7212', 'ID_2254', 'ID_118', 'ID_176', 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'ID_1431', 'ID_5279', 'ID_4428', 'ID_2021', 'ID_8408', 'ID_3449', 'ID_1483', 'ID_4183', 'ID_2683', 'ID_6019', 'ID_5229', 'ID_1245', 'ID_4205', 'ID_2320', 'ID_5036', 'ID_122', 'ID_4319', 'ID_4754', 'ID_8277', 'ID_3267', 'ID_6975', 'ID_3764', 'ID_3844', 'ID_7979', 'ID_6374', 'ID_602', 'ID_1310', 'ID_5576', 'ID_2299', 'ID_2080', 'ID_7369', 'ID_3866', 'ID_7383', 'ID_3228', 'ID_6287', 'ID_180', 'ID_3566', 'ID_5399', 'ID_4424', 'ID_6630', 'ID_8419', 'ID_4948', 'ID_5466', 'ID_6199', 'ID_6383', 'ID_652', 'ID_3669', 'ID_6887', 'ID_8136', 'ID_513', 'ID_5151', 'ID_5780', 'ID_992', 'ID_1297', 'ID_7666', 'ID_3828', 'ID_3089', 'ID_3164', 'ID_281', 'ID_5117', 'ID_1440', 'ID_7571', 'ID_4460', 'ID_203', 'ID_8590', 'ID_1193', 'ID_7780', 'ID_4834', 'ID_1096', 'ID_3053', 'ID_422', 'ID_2556', 'ID_439', 'ID_4443', 'ID_1797', 'ID_3860', 'ID_3360', 'ID_5647', 'ID_7229', 'ID_3266', 'ID_8398', 'ID_1817', 'ID_5284', 'ID_4678', 'ID_4027', 'ID_4476', 'ID_5115', 'ID_6430', 'ID_4445', 'ID_1802', 'ID_7842', 'ID_2397', 'ID_4396', 'ID_4684', 'ID_6713', 'ID_723', 'ID_1294', 'ID_885', 'ID_3509', 'ID_3253', 'ID_2526', 'ID_7122', 'ID_6280', 'ID_467', 'ID_8283', 'ID_8655', 'ID_3666', 'ID_6291', 'ID_591', 'ID_5783', 'ID_6863', 'ID_4823', 'ID_7093', 'ID_3524', 'ID_6606', 'ID_664', 'ID_5709', 'ID_6548', 'ID_8429', 'ID_3424', 'ID_4720', 'ID_3024', 'ID_4153', 'ID_6778', 'ID_4966', 'ID_3213', 'ID_6132', 'ID_8070', 'ID_211', 'ID_5395', 'ID_5450', 'ID_1222', 'ID_3982', 'ID_8116', 'ID_2076', 'ID_5402', 'ID_7641', 'ID_5610', 'ID_3001', 'ID_5624', 'ID_5751', 'ID_6584', 'ID_7004', 'ID_519', 'ID_6673', 'ID_7117', 'ID_2047', 'ID_7385', 'ID_1392', 'ID_8265', 'ID_1533', 'ID_7318', 'ID_1628', 'ID_4925', 'ID_4952', 'ID_5713', 'ID_7764', 'ID_2178', 'ID_6307', 'ID_2594', 'ID_3440', 'ID_1088', 'ID_5469', 'ID_1879', 'ID_2745', 'ID_4015', 'ID_5686', 'ID_6954', 'ID_973', 'ID_6518', 'ID_4944', 'ID_1366', 'ID_4727', 'ID_1439', 'ID_679', 'ID_5951', 'ID_3275', 'ID_5094', 'ID_6337', 'ID_3924', 'ID_1220', 'ID_5102', 'ID_3648', 'ID_440', 'ID_6752', 'ID_87', 'ID_5930', 'ID_8360', 'ID_1029', 'ID_6624', 'ID_4275', 'ID_2521', 'ID_4236', 'ID_1416', 'ID_974', 'ID_5411', 'ID_4751', 'ID_2401', 'ID_6420', 'ID_32', 'ID_1396', 'ID_3497', 'ID_681', 'ID_5848', 'ID_2788', 'ID_2348', 'ID_5492', 'ID_4794', 'ID_2238', 'ID_7990', 'ID_5005', 'ID_7033', 'ID_7012', 'ID_3143', 'ID_3792', 'ID_7176', 'ID_4358', 'ID_7988', 'ID_4979', 'ID_5073', 'ID_4410', 'ID_6947', 'ID_3832', 'ID_4269', 'ID_2877', 'ID_1298', 'ID_2904', 'ID_762', 'ID_4994', 'ID_8619', 'ID_7597', 'ID_8165', 'ID_878', 'ID_6344', 'ID_4078', 'ID_530', 'ID_97', 'ID_6088', 'ID_1082', 'ID_6334', 'ID_1231', 'ID_1420', 'ID_3210', 'ID_8487', 'ID_5482', 'ID_1070', 'ID_450', 'ID_3910', 'ID_2095', 'ID_6726', 'ID_8549', 'ID_7364', 'ID_4075', 'ID_2214', 'ID_1667', 'ID_3171', 'ID_4915', 'ID_1560', 'ID_3842', 'ID_3460', 'ID_3740', 'ID_5121', 'ID_4139', 'ID_3063', 'ID_3521', 'ID_1908', 'ID_1858', 'ID_4534', 'ID_465', 'ID_3153', 'ID_8504', 'ID_6231', 'ID_6296', 'ID_196', 'ID_232', 'ID_8463', 'ID_4137', 'ID_7853', 'ID_4619', 'ID_4127', 'ID_6526', 'ID_1131', 'ID_583', 'ID_2225', 'ID_2790', 'ID_1679', 'ID_1818', 'ID_7843', 'ID_1719', 'ID_536', 'ID_1272', 'ID_8548', 'ID_3572', 'ID_5798', 'ID_8019', 'ID_7715', 'ID_454', 'ID_2597', 'ID_6315', 'ID_1952', 'ID_2135', 'ID_181', 'ID_3221', 'ID_7536', 'ID_5076', 'ID_7955', 'ID_5503', 'ID_1105', 'ID_6629', 'ID_6427', 'ID_780', 'ID_5373', 'ID_4074', 'ID_6130', 'ID_6119', 'ID_8565', 'ID_1644', 'ID_7693', 'ID_8381', 'ID_8243', 'ID_1332', 'ID_3706', 'ID_7697', 'ID_1273', 'ID_3411', 'ID_702', 'ID_96', 'ID_3470', 'ID_4897', 'ID_6415', 'ID_993', 'ID_7349', 'ID_5099', 'ID_7297', 'ID_6100', 'ID_5136', 'ID_5632', 'ID_1174', 'ID_8346', 'ID_5217', 'ID_160', 'ID_7234', 'ID_7079', 'ID_4577', 'ID_3687', 'ID_666', 'ID_4143', 'ID_4680', 'ID_5895', 'ID_6224', 'ID_3296', 'ID_6072', 'ID_8291', 'ID_5315', 'ID_5276', 'ID_786', 'ID_5722', 'ID_6664', 'ID_4866', 'ID_6382', 'ID_4523', 'ID_3190', 'ID_5894', 'ID_1676', 'ID_3983', 'ID_6356', 'ID_5598', 'ID_5239', 'ID_4841', 'ID_7126', 'ID_6562', 'ID_1585', 'ID_3347', 'ID_3661', 'ID_4704', 'ID_6943', 'ID_3918', 'ID_6131', 'ID_2887', 'ID_7076', 'ID_7344', 'ID_4992', 'ID_6210', 'ID_931', 'ID_4338', 'ID_5224', 'ID_582', 'ID_5807', 'ID_3735', 'ID_4530', 'ID_3797', 'ID_4518', 'ID_6064', 'ID_2769', 'ID_721', 'ID_3274', 'ID_3057', 'ID_883', 'ID_6937', 'ID_8446', 'ID_6192', 'ID_4965', 'ID_2756', 'ID_3060', 'ID_2321', 'ID_6166', 'ID_4624', 'ID_3043', 'ID_1904', 'ID_7283', 'ID_2265', 'ID_4411', 'ID_2832', 'ID_7087', 'ID_6175', 'ID_3555', 'ID_3344', 'ID_4097', 'ID_2427', 'ID_163', 'ID_8383'), dtype=tf.string, default_value=-1, num_oov_buckets=0)).\n",
"DEBUG:tensorflow:Transforming feature_column VocabularyListCategoricalColumn(key='Restaurant', vocabulary_list=('ID_7618', 'ID_5074', 'ID_1762', 'ID_1209', 'ID_3475', 'ID_7530', 'ID_473', 'ID_4708', 'ID_6502', 'ID_1638', 'ID_3793', 'ID_4545', 'ID_5002', 'ID_4778', 'ID_5593', 'ID_506', 'ID_5489', 'ID_6738', 'ID_712', 'ID_8485', 'ID_773', 'ID_7575', 'ID_390', 'ID_4446', 'ID_3629', 'ID_6428', 'ID_5155', 'ID_164', 'ID_5191', 'ID_1733', 'ID_1870', 'ID_3693', 'ID_1787', 'ID_4202', 'ID_2928', 'ID_5065', 'ID_5766', 'ID_1136', 'ID_1789', 'ID_5459', 'ID_31', 'ID_4839', 'ID_745', 'ID_2193', 'ID_3591', 'ID_4578', 'ID_6531', 'ID_6352', 'ID_1546', 'ID_6223', 'ID_8420', 'ID_8496', 'ID_7750', 'ID_7132', 'ID_941', 'ID_7159', 'ID_8184', 'ID_5773', 'ID_2815', 'ID_6229', 'ID_2892', 'ID_7090', 'ID_2763', 'ID_6561', 'ID_7393', 'ID_2221', 'ID_7525', 'ID_6475', 'ID_4880', 'ID_2723', 'ID_8085', 'ID_3152', 'ID_6153', 'ID_6289', 'ID_7394', 'ID_2402', 'ID_2772', 'ID_4652', 'ID_2934', 'ID_5066', 'ID_7490', 'ID_3352', 'ID_8248', 'ID_7356', 'ID_3596', 'ID_4155', 'ID_2505', 'ID_1995', 'ID_4654', 'ID_7542', 'ID_5567', 'ID_3116', 'ID_6261', 'ID_5111', 'ID_7632', 'ID_8572', 'ID_2694', 'ID_5656', 'ID_4527', 'ID_6484', 'ID_5681', 'ID_7235', 'ID_4863', 'ID_7591', 'ID_3006', 'ID_4429', 'ID_7924', 'ID_5516', 'ID_7163', 'ID_577', 'ID_2811', 'ID_4360', 'ID_6774', 'ID_5665', 'ID_1260', 'ID_1426', 'ID_4444', 'ID_2929', 'ID_5602', 'ID_1422', 'ID_3431', 'ID_6322', 'ID_5122', 'ID_8170', 'ID_3332', 'ID_4176', 'ID_5067', 'ID_7683', 'ID_5446', 'ID_1771', 'ID_3454', 'ID_7711', 'ID_4501', 'ID_4091', 'ID_3457', 'ID_8430', 'ID_1849', 'ID_642', 'ID_1296', 'ID_7010', 'ID_5393', 'ID_6158', 'ID_3912', 'ID_4172', 'ID_4453', 'ID_3434', 'ID_5898', 'ID_5376', 'ID_6599', 'ID_6444', 'ID_1840', 'ID_6913', 'ID_7210', 'ID_1813', 'ID_299', 'ID_2376', 'ID_2194', 'ID_1008', 'ID_629', 'ID_2301', 'ID_6751', 'ID_4230', 'ID_6489', 'ID_5478', 'ID_8111', 'ID_3422', 'ID_5025', 'ID_2613', 'ID_7142', 'ID_498', 'ID_944', 'ID_3047', 'ID_3197', 'ID_714', 'ID_2464', 'ID_5720', 'ID_3674', 'ID_6840', 'ID_6154', 'ID_1752', 'ID_6163', 'ID_330', 'ID_691', 'ID_3462', 'ID_7544', 'ID_4512', 'ID_15', 'ID_7200', 'ID_7027', 'ID_6841', 'ID_5530', 'ID_6099', 'ID_2766', 'ID_8096', 'ID_4910', 'ID_1743', 'ID_7202', 'ID_6474', 'ID_3550', 'ID_7148', 'ID_4688', 'ID_6549', 'ID_112', 'ID_8066', 'ID_5012', 'ID_2162', 'ID_657', 'ID_2882', 'ID_6015', 'ID_2960', 'ID_1890', 'ID_4974', 'ID_249', 'ID_2718', 'ID_2185', 'ID_8536', 'ID_4716', 'ID_3834', 'ID_6170', 'ID_6544', 'ID_5321', 'ID_639', 'ID_1635', 'ID_7905', 'ID_8151', 'ID_888', 'ID_8106', 'ID_6864', 'ID_6906', 'ID_7299', 'ID_8237', 'ID_3588', 'ID_3712', 'ID_1256', 'ID_6273', 'ID_1240', 'ID_7007', 'ID_5301', 'ID_3459', 'ID_814', 'ID_7120', 'ID_5008', 'ID_8104', 'ID_436', 'ID_4817', 'ID_6618', 'ID_7713', 'ID_34', 'ID_6659', 'ID_896', 'ID_3413', 'ID_206', 'ID_2560', 'ID_4497', 'ID_838', 'ID_4182', 'ID_1555', 'ID_3452', 'ID_7139', 'ID_7323', 'ID_699', 'ID_6491', 'ID_7538', 'ID_6653', 'ID_4216', 'ID_7078', 'ID_2559', 'ID_3054', 'ID_6377', 'ID_2498', 'ID_2165', 'ID_417', 'ID_4414', 'ID_3395', 'ID_3392', 'ID_1799', 'ID_2984', 'ID_6951', 'ID_1156', 'ID_8596', 'ID_3416', 'ID_3895', 'ID_1736', 'ID_7654', 'ID_811', 'ID_7249', 'ID_7365', 'ID_8643', 'ID_387', 'ID_7743', 'ID_4352', 'ID_8208', 'ID_490', 'ID_6111', 'ID_6402', 'ID_8109', 'ID_4734', 'ID_342', 'ID_837', 'ID_397', 'ID_3733', 'ID_100', 'ID_5578', 'ID_2830', 'ID_6832', 'ID_7272', 'ID_8336', 'ID_7503', 'ID_4815', 'ID_1792', 'ID_7072', 'ID_2794', 'ID_8158', 'ID_2083', 'ID_2846', 'ID_244', 'ID_6462', 'ID_4955', 'ID_2684', 'ID_7302', 'ID_462', 'ID_5585', 'ID_495', 'ID_8525', 'ID_6846', 'ID_1670', 'ID_1263', 'ID_43', 'ID_6447', 'ID_7230', 'ID_178', 'ID_4292', 'ID_7833', 'ID_1254', 'ID_4873', 'ID_7884', 'ID_5267', 'ID_7312', 'ID_529', 'ID_3034', 'ID_1207', 'ID_694', 'ID_783', 'ID_4252', 'ID_3011', 'ID_7080', 'ID_3373', 'ID_4648', 'ID_1696', 'ID_3969', 'ID_4436', 'ID_5897', 'ID_2032', 'ID_5996', 'ID_4320', 'ID_6929', 'ID_4700', 'ID_6171', 'ID_3775', 'ID_3985', 'ID_5654', 'ID_2677', 'ID_5254', 'ID_3871', 'ID_389', 'ID_1034', 'ID_3194', 'ID_6142', 'ID_7558', 'ID_8187', 'ID_8581', 'ID_4271', 'ID_7024', 'ID_7564', 'ID_1570', 'ID_5062', 'ID_7281', 'ID_7468', 'ID_651', 'ID_3579', 'ID_7739', 'ID_8203', 'ID_6407', 'ID_5354', 'ID_1477', 'ID_3620', 'ID_1731', 'ID_7480', 'ID_3467', 'ID_71', 'ID_6375', 'ID_598', 'ID_7615', 'ID_3778', 'ID_7860', 'ID_270', 'ID_1257', 'ID_660', 'ID_6915', 'ID_6928', 'ID_5858', 'ID_5777', 'ID_4258', 'ID_3106', 'ID_5765', 'ID_617', 'ID_7588', 'ID_3592', 'ID_6839', 'ID_2139', 'ID_3242', 'ID_5554', 'ID_4686', 'ID_4254', 'ID_8648', 'ID_619', 'ID_2685', 'ID_7311', 'ID_3410', 'ID_6316', 'ID_2664', 'ID_6724', 'ID_5538', 'ID_179', 'ID_5231', 'ID_4892', 'ID_4305', 'ID_7342', 'ID_1140', 'ID_7803', 'ID_5937', 'ID_889', 'ID_6253', 'ID_2029', 'ID_2629', 'ID_1041', 'ID_273', 'ID_3113', 'ID_7726', 'ID_6769', 'ID_4528', 'ID_6122', 'ID_8438', 'ID_4493', 'ID_7951', 'ID_8323', 'ID_6424', 'ID_3626', 'ID_1548', 'ID_5775', 'ID_1519', 'ID_201', 'ID_744', 'ID_3343', 'ID_554', 'ID_1404', 'ID_5852', 'ID_7599', 'ID_3464', 'ID_5952', 'ID_7222', 'ID_2968', 'ID_5954', 'ID_2220', 'ID_1620', 'ID_4415', 'ID_5120', 'ID_4950', 'ID_3859', 'ID_7373', 'ID_1036', 'ID_8332', 'ID_670', 'ID_825', 'ID_599', 'ID_4369', 'ID_1031', 'ID_3480', 'ID_5237', 'ID_3425', 'ID_7894', 'ID_4725', 'ID_8045', 'ID_3466', 'ID_7441', 'ID_2509', 'ID_1940', 'ID_3846', 'ID_4203', 'ID_8108', 'ID_3426', 'ID_4559', 'ID_1309', 'ID_372', 'ID_8327', 'ID_3654', 'ID_7891', 'ID_449', 'ID_8320', 'ID_218', 'ID_1788', 'ID_1854', 'ID_6016', 'ID_2416', 'ID_689', 'ID_2422', 'ID_1322', 'ID_7048', 'ID_5802', 'ID_2231', 'ID_2727', 'ID_7440', 'ID_2851', 'ID_3075', 'ID_1661', 'ID_1639', 'ID_5461', 'ID_1726', 'ID_6945', 'ID_2439', 'ID_2814', 'ID_105', 'ID_5007', 'ID_348', 'ID_1071', 'ID_8008', 'ID_1911', 'ID_1243', 'ID_2750', 'ID_2588', 'ID_5704', 'ID_1997', 'ID_2141', 'ID_7212', 'ID_2254', 'ID_118', 'ID_176', 'ID_3042', 'ID_893', 'ID_7515', 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'ID_4428', 'ID_2021', 'ID_8408', 'ID_3449', 'ID_1483', 'ID_4183', 'ID_2683', 'ID_6019', 'ID_5229', 'ID_1245', 'ID_4205', 'ID_2320', 'ID_5036', 'ID_122', 'ID_4319', 'ID_4754', 'ID_8277', 'ID_3267', 'ID_6975', 'ID_3764', 'ID_3844', 'ID_7979', 'ID_6374', 'ID_602', 'ID_1310', 'ID_5576', 'ID_2299', 'ID_2080', 'ID_7369', 'ID_3866', 'ID_7383', 'ID_3228', 'ID_6287', 'ID_180', 'ID_3566', 'ID_5399', 'ID_4424', 'ID_6630', 'ID_8419', 'ID_4948', 'ID_5466', 'ID_6199', 'ID_6383', 'ID_652', 'ID_3669', 'ID_6887', 'ID_8136', 'ID_513', 'ID_5151', 'ID_5780', 'ID_992', 'ID_1297', 'ID_7666', 'ID_3828', 'ID_3089', 'ID_3164', 'ID_281', 'ID_5117', 'ID_1440', 'ID_7571', 'ID_4460', 'ID_203', 'ID_8590', 'ID_1193', 'ID_7780', 'ID_4834', 'ID_1096', 'ID_3053', 'ID_422', 'ID_2556', 'ID_439', 'ID_4443', 'ID_1797', 'ID_3860', 'ID_3360', 'ID_5647', 'ID_7229', 'ID_3266', 'ID_8398', 'ID_1817', 'ID_5284', 'ID_4678', 'ID_4027', 'ID_4476', 'ID_5115', 'ID_6430', 'ID_4445', 'ID_1802', 'ID_7842', 'ID_2397', 'ID_4396', 'ID_4684', 'ID_6713', 'ID_723', 'ID_1294', 'ID_885', 'ID_3509', 'ID_3253', 'ID_2526', 'ID_7122', 'ID_6280', 'ID_467', 'ID_8283', 'ID_8655', 'ID_3666', 'ID_6291', 'ID_591', 'ID_5783', 'ID_6863', 'ID_4823', 'ID_7093', 'ID_3524', 'ID_6606', 'ID_664', 'ID_5709', 'ID_6548', 'ID_8429', 'ID_3424', 'ID_4720', 'ID_3024', 'ID_4153', 'ID_6778', 'ID_4966', 'ID_3213', 'ID_6132', 'ID_8070', 'ID_211', 'ID_5395', 'ID_5450', 'ID_1222', 'ID_3982', 'ID_8116', 'ID_2076', 'ID_5402', 'ID_7641', 'ID_5610', 'ID_3001', 'ID_5624', 'ID_5751', 'ID_6584', 'ID_7004', 'ID_519', 'ID_6673', 'ID_7117', 'ID_2047', 'ID_7385', 'ID_1392', 'ID_8265', 'ID_1533', 'ID_7318', 'ID_1628', 'ID_4925', 'ID_4952', 'ID_5713', 'ID_7764', 'ID_2178', 'ID_6307', 'ID_2594', 'ID_3440', 'ID_1088', 'ID_5469', 'ID_1879', 'ID_2745', 'ID_4015', 'ID_5686', 'ID_6954', 'ID_973', 'ID_6518', 'ID_4944', 'ID_1366', 'ID_4727', 'ID_1439', 'ID_679', 'ID_5951', 'ID_3275', 'ID_5094', 'ID_6337', 'ID_3924', 'ID_1220', 'ID_5102', 'ID_3648', 'ID_440', 'ID_6752', 'ID_87', 'ID_5930', 'ID_8360', 'ID_1029', 'ID_6624', 'ID_4275', 'ID_2521', 'ID_4236', 'ID_1416', 'ID_974', 'ID_5411', 'ID_4751', 'ID_2401', 'ID_6420', 'ID_32', 'ID_1396', 'ID_3497', 'ID_681', 'ID_5848', 'ID_2788', 'ID_2348', 'ID_5492', 'ID_4794', 'ID_2238', 'ID_7990', 'ID_5005', 'ID_7033', 'ID_7012', 'ID_3143', 'ID_3792', 'ID_7176', 'ID_4358', 'ID_7988', 'ID_4979', 'ID_5073', 'ID_4410', 'ID_6947', 'ID_3832', 'ID_4269', 'ID_2877', 'ID_1298', 'ID_2904', 'ID_762', 'ID_4994', 'ID_8619', 'ID_7597', 'ID_8165', 'ID_878', 'ID_6344', 'ID_4078', 'ID_530', 'ID_97', 'ID_6088', 'ID_1082', 'ID_6334', 'ID_1231', 'ID_1420', 'ID_3210', 'ID_8487', 'ID_5482', 'ID_1070', 'ID_450', 'ID_3910', 'ID_2095', 'ID_6726', 'ID_8549', 'ID_7364', 'ID_4075', 'ID_2214', 'ID_1667', 'ID_3171', 'ID_4915', 'ID_1560', 'ID_3842', 'ID_3460', 'ID_3740', 'ID_5121', 'ID_4139', 'ID_3063', 'ID_3521', 'ID_1908', 'ID_1858', 'ID_4534', 'ID_465', 'ID_3153', 'ID_8504', 'ID_6231', 'ID_6296', 'ID_196', 'ID_232', 'ID_8463', 'ID_4137', 'ID_7853', 'ID_4619', 'ID_4127', 'ID_6526', 'ID_1131', 'ID_583', 'ID_2225', 'ID_2790', 'ID_1679', 'ID_1818', 'ID_7843', 'ID_1719', 'ID_536', 'ID_1272', 'ID_8548', 'ID_3572', 'ID_5798', 'ID_8019', 'ID_7715', 'ID_454', 'ID_2597', 'ID_6315', 'ID_1952', 'ID_2135', 'ID_181', 'ID_3221', 'ID_7536', 'ID_5076', 'ID_7955', 'ID_5503', 'ID_1105', 'ID_6629', 'ID_6427', 'ID_780', 'ID_5373', 'ID_4074', 'ID_6130', 'ID_6119', 'ID_8565', 'ID_1644', 'ID_7693', 'ID_8381', 'ID_8243', 'ID_1332', 'ID_3706', 'ID_7697', 'ID_1273', 'ID_3411', 'ID_702', 'ID_96', 'ID_3470', 'ID_4897', 'ID_6415', 'ID_993', 'ID_7349', 'ID_5099', 'ID_7297', 'ID_6100', 'ID_5136', 'ID_5632', 'ID_1174', 'ID_8346', 'ID_5217', 'ID_160', 'ID_7234', 'ID_7079', 'ID_4577', 'ID_3687', 'ID_666', 'ID_4143', 'ID_4680', 'ID_5895', 'ID_6224', 'ID_3296', 'ID_6072', 'ID_8291', 'ID_5315', 'ID_5276', 'ID_786', 'ID_5722', 'ID_6664', 'ID_4866', 'ID_6382', 'ID_4523', 'ID_3190', 'ID_5894', 'ID_1676', 'ID_3983', 'ID_6356', 'ID_5598', 'ID_5239', 'ID_4841', 'ID_7126', 'ID_6562', 'ID_1585', 'ID_3347', 'ID_3661', 'ID_4704', 'ID_6943', 'ID_3918', 'ID_6131', 'ID_2887', 'ID_7076', 'ID_7344', 'ID_4992', 'ID_6210', 'ID_931', 'ID_4338', 'ID_5224', 'ID_582', 'ID_5807', 'ID_3735', 'ID_4530', 'ID_3797', 'ID_4518', 'ID_6064', 'ID_2769', 'ID_721', 'ID_3274', 'ID_3057', 'ID_883', 'ID_6937', 'ID_8446', 'ID_6192', 'ID_4965', 'ID_2756', 'ID_3060', 'ID_2321', 'ID_6166', 'ID_4624', 'ID_3043', 'ID_1904', 'ID_7283', 'ID_2265', 'ID_4411', 'ID_2832', 'ID_7087', 'ID_6175', 'ID_3555', 'ID_3344', 'ID_4097', 'ID_2427', 'ID_163', 'ID_8383'), dtype=tf.string, default_value=-1, num_oov_buckets=0).\n",
"DEBUG:tensorflow:Transforming feature_column NumericColumn(key='Reviews_Cleaned', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None).\n",
"DEBUG:tensorflow:Transforming feature_column NumericColumn(key='Votes_Cleaned', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None).\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-11-27T11:06:19Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from /tmp/tmp5wvp96jm/model.ckpt-1500\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [150/1500]\n",
"INFO:tensorflow:Evaluation [300/1500]\n",
"INFO:tensorflow:Evaluation [450/1500]\n",
"INFO:tensorflow:Evaluation [600/1500]\n",
"INFO:tensorflow:Evaluation [750/1500]\n",
"INFO:tensorflow:Evaluation [900/1500]\n",
"INFO:tensorflow:Evaluation [1050/1500]\n",
"INFO:tensorflow:Evaluation [1200/1500]\n",
"INFO:tensorflow:Evaluation [1350/1500]\n",
"INFO:tensorflow:Evaluation [1500/1500]\n",
"INFO:tensorflow:Finished evaluation at 2019-11-27-11:06:34\n",
"INFO:tensorflow:Saving dict for global step 1500: accuracy = 0.69203126, average_loss = 0.83723354, global_step = 1500, loss = 0.83723354\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 1500: /tmp/tmp5wvp96jm/model.ckpt-1500\n"
],
"name": "stdout"
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"{'accuracy': 0.69203126,\n",
" 'average_loss': 0.83723354,\n",
" 'global_step': 1500,\n",
" 'loss': 0.83723354}"
]
},
"metadata": {
"tags": []
},
"execution_count": 20
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "738uan_lh84j",
"colab_type": "text"
},
"source": [
"##Preprocessing The Validation Data\n"
]
},
{
"cell_type": "code",
"metadata": {
"id": "FGnYZWC_TftO",
"colab_type": "code",
"colab": {}
},
"source": [
"#Setting the number of datapoints to choose\n",
"num_datapoints = len(val) \n",
"\n",
"# Preprocessing The validation data\n",
"make_label_column_numeric(val, label_column, classes)\n",
"test_examples = df_to_examples(val[0:num_datapoints])"
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "k9rIts58iEWp",
"colab_type": "text"
},
"source": [
"### Configuring And Launching WIT Tool Box\n"
]
},
{
"cell_type": "code",
"metadata": {
"id": "7FQ1dw08h8ap",
"colab_type": "code",
"colab": {
"resources": {
"http://localhost:8080/nbextensions/wit-widget/wit_jupyter.html": {
"data": 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Best AI Content Write and AI Images Generator from Text Prompts: https://writerzingo.com/

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