{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "_E4uORykIpG4"
   },
   "source": [
    "##### Copyright 2020 The TensorFlow Authors."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "cellView": "form",
    "execution": {
     "iopub.execute_input": "2022-12-14T11:01:56.697855Z",
     "iopub.status.busy": "2022-12-14T11:01:56.697242Z",
     "iopub.status.idle": "2022-12-14T11:01:56.700708Z",
     "shell.execute_reply": "2022-12-14T11:01:56.700182Z"
    },
    "id": "aBT221yVIujn"
   },
   "outputs": [],
   "source": [
    "#@title Licensed under the Apache License, Version 2.0 (the \"License\");\n",
    "# you may not use this file except in compliance with the License.\n",
    "# You may obtain a copy of the License at\n",
    "#\n",
    "# https://www.apache.org/licenses/LICENSE-2.0\n",
    "#\n",
    "# Unless required by applicable law or agreed to in writing, software\n",
    "# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
    "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
    "# See the License for the specific language governing permissions and\n",
    "# limitations under the License."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "aalPefrUUplk"
   },
   "source": [
    "# Fairness Indicators TensorBoard Plugin Example Colab"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "fFTJpyFlI-uI"
   },
   "source": [
    "<table class=\"tfo-notebook-buttons\" align=\"left\">\n",
    "  <td>\n",
    "    <a target=\"_blank\" href=\"https://www.tensorflow.org/responsible_ai/fairness_indicators/tutorials/Fairness_indicators_TensorBoard_Plugin_Example_Colab\"><img src=\"https://www.tensorflow.org/images/tf_logo_32px.png\" />View on TensorFlow.org</a>\n",
    "  </td>\n",
    "  <td>\n",
    "    <a target=\"_blank\" href=\"https://colab.research.google.com/github/tensorflow/fairness-indicators/blob/master/g3doc/tutorials/Fairness_Indicators_TensorBoard_Plugin_Example_Colab.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
    "  </td>\n",
    "  <td>\n",
    "    <a target=\"_blank\" href=\"https://github.com/tensorflow/fairness-indicators/blob/master/g3doc/tutorials/Fairness_Indicators_TensorBoard_Plugin_Example_Colab.ipynb\"><img src=\"https://www.tensorflow.org/images/GitHub-Mark-32px.png\" />View on GitHub</a>\n",
    "  </td>\n",
    "  <td>\n",
    "    <a href=\"https://storage.googleapis.com/tensorflow_docs/fairness-indicators/g3doc/tutorials/Fairness_Indicators_TensorBoard_Plugin_Example_Colab.ipynb\"><img src=\"https://www.tensorflow.org/images/download_logo_32px.png\" />Download notebook</a>\n",
    "  </td>\n",
    "</table>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "UZ48WFLwbCL6"
   },
   "source": [
    "##Overview\n",
    "\n",
    "In this activity, you'll use [Fairness Indicators for TensorBoard](https://github.com/tensorflow/tensorboard/tree/master/docs/fairness-indicators.md). With the plugin, you can visualize fairness evaluations for your runs and easily compare performance across groups.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "u33JXdluZ2lG"
   },
   "source": [
    "# Importing\n",
    "\n",
    "Run the following code to install the required libraries."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-12-14T11:01:56.704477Z",
     "iopub.status.busy": "2022-12-14T11:01:56.703988Z",
     "iopub.status.idle": "2022-12-14T11:02:06.424397Z",
     "shell.execute_reply": "2022-12-14T11:02:06.423584Z"
    },
    "id": "EoRNffG599XP"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[33mWARNING: You are using pip version 20.2; however, version 22.3.1 is available.\r\n",
      "You should consider upgrading via the '/tmpfs/src/tf_docs_env/bin/python3.8 -m pip install --upgrade pip' command.\u001b[0m\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Processing /home/kbuilder/.cache/pip/wheels/ae/5a/a2/a37929bdff9c55c7168990edfceb55b11840f6d77befbc2bad/absl_py-0.8.1-py3-none-any.whl\r\n",
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     ]
    },
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     ]
    },
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      "Requirement already satisfied: tinycss2 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from nbconvert>=5->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets>=7.0.0->witwidget<2,>=1.4.4->fairness_indicators) (1.2.1)\r\n",
      "Requirement already satisfied: bleach in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from nbconvert>=5->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets>=7.0.0->witwidget<2,>=1.4.4->fairness_indicators) (5.0.1)\r\n",
      "Requirement already satisfied: beautifulsoup4 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from nbconvert>=5->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets>=7.0.0->witwidget<2,>=1.4.4->fairness_indicators) (4.11.1)\r\n",
      "Requirement already satisfied: argon2-cffi-bindings in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets>=7.0.0->witwidget<2,>=1.4.4->fairness_indicators) (21.2.0)\r\n",
      "Requirement already satisfied: jupyter-server>=1.8 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from nbclassic>=0.4.7->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets>=7.0.0->witwidget<2,>=1.4.4->fairness_indicators) (2.0.1)\r\n"
     ]
    },
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      "Requirement already satisfied: notebook-shim>=0.1.0 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from nbclassic>=0.4.7->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets>=7.0.0->witwidget<2,>=1.4.4->fairness_indicators) (0.2.2)\r\n",
      "Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from jsonschema>=2.6->nbformat->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets>=7.0.0->witwidget<2,>=1.4.4->fairness_indicators) (0.19.2)\r\n",
      "Requirement already satisfied: importlib-resources>=1.4.0; python_version < \"3.9\" in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from jsonschema>=2.6->nbformat->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets>=7.0.0->witwidget<2,>=1.4.4->fairness_indicators) (5.10.1)\r\n"
     ]
    },
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      "Requirement already satisfied: pkgutil-resolve-name>=1.3.10; python_version < \"3.9\" in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from jsonschema>=2.6->nbformat->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets>=7.0.0->witwidget<2,>=1.4.4->fairness_indicators) (1.3.10)\r\n",
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      "Requirement already satisfied: anyio<4,>=3.1.0 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from jupyter-server>=1.8->nbclassic>=0.4.7->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets>=7.0.0->witwidget<2,>=1.4.4->fairness_indicators) (3.6.2)\r\n",
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     ]
    },
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     "output_type": "stream",
     "text": [
      "Requirement already satisfied: pycparser in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from cffi>=1.0.1->argon2-cffi-bindings->argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets>=7.0.0->witwidget<2,>=1.4.4->fairness_indicators) (2.21)\r\n",
      "Requirement already satisfied: python-json-logger in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from jupyter-events>=0.4.0->jupyter-server>=1.8->nbclassic>=0.4.7->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets>=7.0.0->witwidget<2,>=1.4.4->fairness_indicators) (2.0.4)\r\n",
      "Requirement already satisfied: pyyaml in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from jupyter-events>=0.4.0->jupyter-server>=1.8->nbclassic>=0.4.7->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets>=7.0.0->witwidget<2,>=1.4.4->fairness_indicators) (6.0)\r\n",
      "Requirement already satisfied: sniffio>=1.1 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from anyio<4,>=3.1.0->jupyter-server>=1.8->nbclassic>=0.4.7->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets>=7.0.0->witwidget<2,>=1.4.4->fairness_indicators) (1.3.0)\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Installing collected packages: absl-py\r\n",
      "  Attempting uninstall: absl-py\r\n",
      "    Found existing installation: absl-py 1.3.0\r\n",
      "    Uninstalling absl-py-1.3.0:\r\n",
      "      Successfully uninstalled absl-py-1.3.0\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[31mERROR: After October 2020 you may experience errors when installing or updating packages. This is because pip will change the way that it resolves dependency conflicts.\r\n",
      "\r\n",
      "We recommend you use --use-feature=2020-resolver to test your packages with the new resolver before it becomes the default.\r\n",
      "\r\n",
      "tfx-bsl 1.12.0 requires absl-py<2.0.0,>=0.9, but you'll have absl-py 0.8.1 which is incompatible.\r\n",
      "tensorflow 2.11.0 requires absl-py>=1.0.0, but you'll have absl-py 0.8.1 which is incompatible.\r\n",
      "tensorflow-model-analysis 0.43.0 requires absl-py<2.0.0,>=0.9, but you'll have absl-py 0.8.1 which is incompatible.\r\n",
      "tensorflow-metadata 1.12.0 requires absl-py<2.0.0,>=0.9, but you'll have absl-py 0.8.1 which is incompatible.\r\n",
      "tensorflow-data-validation 1.12.0 requires absl-py<2.0.0,>=0.9, but you'll have absl-py 0.8.1 which is incompatible.\u001b[0m\r\n",
      "Successfully installed absl-py-0.8.1\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[33mWARNING: You are using pip version 20.2; however, version 22.3.1 is available.\r\n",
      "You should consider upgrading via the '/tmpfs/src/tf_docs_env/bin/python3.8 -m pip install --upgrade pip' command.\u001b[0m\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "Requirement already satisfied: rsa<5,>=3.1.4; python_version >= \"3.6\" in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from google-auth>=1.4.1->google-api-python-client==1.8.3) (4.9)\r\n",
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     ]
    },
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      "Requirement already satisfied: pyparsing!=3.0.0,!=3.0.1,!=3.0.2,!=3.0.3,<4,>=2.4.2; python_version > \"3.0\" in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from httplib2<1dev,>=0.9.2->google-api-python-client==1.8.3) (3.0.9)\r\n",
      "Requirement already satisfied: googleapis-common-protos<2.0dev,>=1.56.2 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from google-api-core<2dev,>=1.13.0->google-api-python-client==1.8.3) (1.57.0)\r\n",
      "Requirement already satisfied: requests<3.0.0dev,>=2.18.0 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from google-api-core<2dev,>=1.13.0->google-api-python-client==1.8.3) (2.28.1)\r\n",
      "Requirement already satisfied: protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<4.0.0dev,>=3.19.5 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from google-api-core<2dev,>=1.13.0->google-api-python-client==1.8.3) (3.19.6)\r\n",
      "Requirement already satisfied: pyasn1>=0.1.3 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from rsa<5,>=3.1.4; python_version >= \"3.6\"->google-auth>=1.4.1->google-api-python-client==1.8.3) (0.5.0rc2)\r\n",
      "Requirement already satisfied: idna<4,>=2.5 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from requests<3.0.0dev,>=2.18.0->google-api-core<2dev,>=1.13.0->google-api-python-client==1.8.3) (3.4)\r\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from requests<3.0.0dev,>=2.18.0->google-api-core<2dev,>=1.13.0->google-api-python-client==1.8.3) (2022.12.7)\r\n",
      "Requirement already satisfied: charset-normalizer<3,>=2 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from requests<3.0.0dev,>=2.18.0->google-api-core<2dev,>=1.13.0->google-api-python-client==1.8.3) (2.1.1)\r\n",
      "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from requests<3.0.0dev,>=2.18.0->google-api-core<2dev,>=1.13.0->google-api-python-client==1.8.3) (1.26.13)\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[33mWARNING: You are using pip version 20.2; however, version 22.3.1 is available.\r\n",
      "You should consider upgrading via the '/tmpfs/src/tf_docs_env/bin/python3.8 -m pip install --upgrade pip' command.\u001b[0m\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: tensorboard-plugin-fairness-indicators in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (0.43.0)\r\n",
      "Requirement already satisfied: protobuf<4,>=3.13 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorboard-plugin-fairness-indicators) (3.19.6)\r\n",
      "Requirement already satisfied: werkzeug<2 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorboard-plugin-fairness-indicators) (1.0.1)\r\n",
      "Requirement already satisfied: tensorflow-model-analysis<0.44,>=0.43 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorboard-plugin-fairness-indicators) (0.43.0)\r\n",
      "Requirement already satisfied: tensorflow<3,>=2.11 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorboard-plugin-fairness-indicators) (2.11.0)\r\n",
      "Requirement already satisfied: tensorboard<3,>=2.8.0 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorboard-plugin-fairness-indicators) (2.11.0)\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: apache-beam[gcp]<3,>=2.40 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorflow-model-analysis<0.44,>=0.43->tensorboard-plugin-fairness-indicators) (2.43.0)\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: attrs<22,>=19.3.0 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorflow-model-analysis<0.44,>=0.43->tensorboard-plugin-fairness-indicators) (21.4.0)\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: six<2,>=1.12 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorflow-model-analysis<0.44,>=0.43->tensorboard-plugin-fairness-indicators) (1.16.0)\r\n",
      "Requirement already satisfied: tensorflow-metadata<1.13.0,>=1.12.0 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorflow-model-analysis<0.44,>=0.43->tensorboard-plugin-fairness-indicators) (1.12.0)\r\n",
      "Requirement already satisfied: ipython<8,>=7 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorflow-model-analysis<0.44,>=0.43->tensorboard-plugin-fairness-indicators) (7.34.0)\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: pyarrow<7,>=6 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorflow-model-analysis<0.44,>=0.43->tensorboard-plugin-fairness-indicators) (6.0.1)\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting absl-py<2.0.0,>=0.9\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Using cached absl_py-1.3.0-py3-none-any.whl (124 kB)\r\n",
      "Requirement already satisfied: scipy<2,>=1.4.1 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorflow-model-analysis<0.44,>=0.43->tensorboard-plugin-fairness-indicators) (1.9.3)\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: tfx-bsl<1.13.0,>=1.12.0 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorflow-model-analysis<0.44,>=0.43->tensorboard-plugin-fairness-indicators) (1.12.0)\r\n",
      "Requirement already satisfied: pandas<2,>=1.0 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorflow-model-analysis<0.44,>=0.43->tensorboard-plugin-fairness-indicators) (1.5.2)\r\n",
      "Requirement already satisfied: ipywidgets<8,>=7 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorflow-model-analysis<0.44,>=0.43->tensorboard-plugin-fairness-indicators) (7.7.2)\r\n",
      "Requirement already satisfied: numpy<2,>=1.16 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorflow-model-analysis<0.44,>=0.43->tensorboard-plugin-fairness-indicators) (1.24.0rc2)\r\n",
      "Requirement already satisfied: tensorflow-io-gcs-filesystem>=0.23.1; platform_machine != \"arm64\" or platform_system != \"Darwin\" in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorflow<3,>=2.11->tensorboard-plugin-fairness-indicators) (0.28.0)\r\n",
      "Requirement already satisfied: libclang>=13.0.0 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorflow<3,>=2.11->tensorboard-plugin-fairness-indicators) (14.0.6)\r\n",
      "Requirement already satisfied: flatbuffers>=2.0 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorflow<3,>=2.11->tensorboard-plugin-fairness-indicators) (22.12.6)\r\n",
      "Requirement already satisfied: gast<=0.4.0,>=0.2.1 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorflow<3,>=2.11->tensorboard-plugin-fairness-indicators) (0.4.0)\r\n",
      "Requirement already satisfied: grpcio<2.0,>=1.24.3 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorflow<3,>=2.11->tensorboard-plugin-fairness-indicators) (1.51.1)\r\n",
      "Requirement already satisfied: keras<2.12,>=2.11.0 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorflow<3,>=2.11->tensorboard-plugin-fairness-indicators) (2.11.0)\r\n",
      "Requirement already satisfied: setuptools in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorflow<3,>=2.11->tensorboard-plugin-fairness-indicators) (65.6.3)\r\n"
     ]
    },
    {
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     "text": [
      "Requirement already satisfied: opt-einsum>=2.3.2 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorflow<3,>=2.11->tensorboard-plugin-fairness-indicators) (3.3.0)\r\n",
      "Requirement already satisfied: google-pasta>=0.1.1 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorflow<3,>=2.11->tensorboard-plugin-fairness-indicators) (0.2.0)\r\n",
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     ]
    },
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     "output_type": "stream",
     "text": [
      "Installing collected packages: absl-py\r\n",
      "  Attempting uninstall: absl-py\r\n",
      "    Found existing installation: absl-py 0.8.1\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    Uninstalling absl-py-0.8.1:\r\n",
      "      Successfully uninstalled absl-py-0.8.1\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Successfully installed absl-py-1.3.0\r\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\u001b[33mWARNING: You are using pip version 20.2; however, version 22.3.1 is available.\r\n",
      "You should consider upgrading via the '/tmpfs/src/tf_docs_env/bin/python3.8 -m pip install --upgrade pip' command.\u001b[0m\r\n"
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      "Requirement already satisfied: google-pasta>=0.1.1 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorflow<3,>=2.9.0->tensorflow-serving-api==2.9.0) (0.2.0)\r\n",
      "Requirement already satisfied: h5py>=2.9.0 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorflow<3,>=2.9.0->tensorflow-serving-api==2.9.0) (3.7.0)\r\n",
      "Requirement already satisfied: libclang>=13.0.0 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorflow<3,>=2.9.0->tensorflow-serving-api==2.9.0) (14.0.6)\r\n",
      "Requirement already satisfied: tensorboard<2.12,>=2.11 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorflow<3,>=2.9.0->tensorflow-serving-api==2.9.0) (2.11.0)\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: gast<=0.4.0,>=0.2.1 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorflow<3,>=2.9.0->tensorflow-serving-api==2.9.0) (0.4.0)\r\n",
      "Requirement already satisfied: wrapt>=1.11.0 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorflow<3,>=2.9.0->tensorflow-serving-api==2.9.0) (1.14.1)\r\n",
      "Requirement already satisfied: flatbuffers>=2.0 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorflow<3,>=2.9.0->tensorflow-serving-api==2.9.0) (22.12.6)\r\n",
      "Requirement already satisfied: astunparse>=1.6.0 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorflow<3,>=2.9.0->tensorflow-serving-api==2.9.0) (1.6.3)\r\n",
      "Requirement already satisfied: numpy>=1.20 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorflow<3,>=2.9.0->tensorflow-serving-api==2.9.0) (1.24.0rc2)\r\n",
      "Requirement already satisfied: tensorflow-estimator<2.12,>=2.11.0 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorflow<3,>=2.9.0->tensorflow-serving-api==2.9.0) (2.11.0)\r\n",
      "Requirement already satisfied: wheel>=0.26 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorboard<2.12,>=2.11->tensorflow<3,>=2.9.0->tensorflow-serving-api==2.9.0) (0.37.1)\r\n",
      "Requirement already satisfied: google-auth-oauthlib<0.5,>=0.4.1 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorboard<2.12,>=2.11->tensorflow<3,>=2.9.0->tensorflow-serving-api==2.9.0) (0.4.6)\r\n",
      "Requirement already satisfied: requests<3,>=2.21.0 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorboard<2.12,>=2.11->tensorflow<3,>=2.9.0->tensorflow-serving-api==2.9.0) (2.28.1)\r\n",
      "Requirement already satisfied: tensorboard-plugin-wit>=1.6.0 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorboard<2.12,>=2.11->tensorflow<3,>=2.9.0->tensorflow-serving-api==2.9.0) (1.8.1)\r\n",
      "Requirement already satisfied: werkzeug>=1.0.1 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorboard<2.12,>=2.11->tensorflow<3,>=2.9.0->tensorflow-serving-api==2.9.0) (1.0.1)\r\n",
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      "Requirement already satisfied: markdown>=2.6.8 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from tensorboard<2.12,>=2.11->tensorflow<3,>=2.9.0->tensorflow-serving-api==2.9.0) (3.4.1)\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: requests-oauthlib>=0.7.0 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from google-auth-oauthlib<0.5,>=0.4.1->tensorboard<2.12,>=2.11->tensorflow<3,>=2.9.0->tensorflow-serving-api==2.9.0) (1.3.1)\r\n",
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      "Requirement already satisfied: certifi>=2017.4.17 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from requests<3,>=2.21.0->tensorboard<2.12,>=2.11->tensorflow<3,>=2.9.0->tensorflow-serving-api==2.9.0) (2022.12.7)\r\n",
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      "Requirement already satisfied: rsa<5,>=3.1.4; python_version >= \"3.6\" in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from google-auth<3,>=1.6.3->tensorboard<2.12,>=2.11->tensorflow<3,>=2.9.0->tensorflow-serving-api==2.9.0) (4.9)\r\n",
      "Requirement already satisfied: importlib-metadata>=4.4; python_version < \"3.10\" in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from markdown>=2.6.8->tensorboard<2.12,>=2.11->tensorflow<3,>=2.9.0->tensorflow-serving-api==2.9.0) (5.1.0)\r\n",
      "Requirement already satisfied: oauthlib>=3.0.0 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard<2.12,>=2.11->tensorflow<3,>=2.9.0->tensorflow-serving-api==2.9.0) (3.2.2)\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: pyasn1<0.6.0,>=0.4.6 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from pyasn1-modules>=0.2.1->google-auth<3,>=1.6.3->tensorboard<2.12,>=2.11->tensorflow<3,>=2.9.0->tensorflow-serving-api==2.9.0) (0.5.0rc2)\r\n",
      "Requirement already satisfied: zipp>=0.5 in /tmpfs/src/tf_docs_env/lib/python3.8/site-packages (from importlib-metadata>=4.4; python_version < \"3.10\"->markdown>=2.6.8->tensorboard<2.12,>=2.11->tensorflow<3,>=2.9.0->tensorflow-serving-api==2.9.0) (3.11.0)\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[33mWARNING: You are using pip version 20.2; however, version 22.3.1 is available.\r\n",
      "You should consider upgrading via the '/tmpfs/src/tf_docs_env/bin/python3.8 -m pip install --upgrade pip' command.\u001b[0m\r\n"
     ]
    }
   ],
   "source": [
    "!pip install -q -U pip==20.2\n",
    "\n",
    "!pip install fairness_indicators 'absl-py<0.9,>=0.7'\n",
    "!pip install google-api-python-client==1.8.3\n",
    "!pip install tensorboard-plugin-fairness-indicators\n",
    "!pip install tensorflow-serving-api==2.9.0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "mglfaM4_mtIk"
   },
   "source": [
    "**Restart the runtime.** After the runtime is restarted, continue with following cells without running previous cell again."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-12-14T11:02:06.428470Z",
     "iopub.status.busy": "2022-12-14T11:02:06.428213Z",
     "iopub.status.idle": "2022-12-14T11:02:06.431724Z",
     "shell.execute_reply": "2022-12-14T11:02:06.431161Z"
    },
    "id": "sFZJ8f_M7mlc"
   },
   "outputs": [],
   "source": [
    "# %tf.disable_v2_behavior()\t# Uncomment this line if running in Google Colab."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-12-14T11:02:06.434728Z",
     "iopub.status.busy": "2022-12-14T11:02:06.434184Z",
     "iopub.status.idle": "2022-12-14T11:02:09.367068Z",
     "shell.execute_reply": "2022-12-14T11:02:09.366365Z"
    },
    "id": "B8dlyTyiTe-9"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2022-12-14 11:02:07.518601: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory\n",
      "2022-12-14 11:02:07.518702: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory\n",
      "2022-12-14 11:02:07.518712: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.\n"
     ]
    }
   ],
   "source": [
    "import datetime\n",
    "import os\n",
    "import tempfile\n",
    "from tensorboard_plugin_fairness_indicators import summary_v2\n",
    "import tensorflow.compat.v1 as tf\n",
    "\n",
    "# example_model.py is provided in fairness_indicators package to train and\n",
    "# evaluate an example model. \n",
    "from fairness_indicators import example_model\n",
    "\n",
    "tf.compat.v1.enable_eager_execution()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "TsplOJGqWCf5"
   },
   "source": [
    "# Data and Constants"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-12-14T11:02:09.371229Z",
     "iopub.status.busy": "2022-12-14T11:02:09.370823Z",
     "iopub.status.idle": "2022-12-14T11:02:29.076579Z",
     "shell.execute_reply": "2022-12-14T11:02:29.075961Z"
    },
    "id": "NdLBi6tN5i7I"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading data from https://storage.googleapis.com/civil_comments_dataset/train_tf_processed.tfrecord\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 23355392/488153424 [>.............................] - ETA: 17s"
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      " 25862144/488153424 [>.............................] - ETA: 16s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 28188672/488153424 [>.............................] - ETA: 15s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 30629888/488153424 [>.............................] - ETA: 15s"
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      " 32931840/488153424 [=>............................] - ETA: 14s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 35512320/488153424 [=>............................] - ETA: 14s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 36626432/488153424 [=>............................] - ETA: 14s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 39313408/488153424 [=>............................] - ETA: 14s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 41820160/488153424 [=>............................] - ETA: 13s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 44302336/488153424 [=>............................] - ETA: 13s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 46620672/488153424 [=>............................] - ETA: 13s"
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     "name": "stdout",
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     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 48898048/488153424 [==>...........................] - ETA: 13s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 51265536/488153424 [==>...........................] - ETA: 12s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 52715520/488153424 [==>...........................] - ETA: 12s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 55042048/488153424 [==>...........................] - ETA: 12s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 57221120/488153424 [==>...........................] - ETA: 12s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 59719680/488153424 [==>...........................] - ETA: 12s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 61218816/488153424 [==>...........................] - ETA: 12s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 63627264/488153424 [==>...........................] - ETA: 12s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 65937408/488153424 [===>..........................] - ETA: 12s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 68345856/488153424 [===>..........................] - ETA: 11s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 70705152/488153424 [===>..........................] - ETA: 11s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 73089024/488153424 [===>..........................] - ETA: 11s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 75374592/488153424 [===>..........................] - ETA: 11s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 77701120/488153424 [===>..........................] - ETA: 11s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 79912960/488153424 [===>..........................] - ETA: 11s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 82362368/488153424 [====>.........................] - ETA: 10s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 84631552/488153424 [====>.........................] - ETA: 10s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 85139456/488153424 [====>.........................] - ETA: 11s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 87580672/488153424 [====>.........................] - ETA: 10s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 90087424/488153424 [====>.........................] - ETA: 10s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 92323840/488153424 [====>.........................] - ETA: 10s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 94543872/488153424 [====>.........................] - ETA: 10s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 96288768/488153424 [====>.........................] - ETA: 10s"
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      " 98762752/488153424 [=====>........................] - ETA: 10s"
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      "100892672/488153424 [=====>........................] - ETA: 10s"
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      "102154240/488153424 [=====>........................] - ETA: 10s"
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      "104792064/488153424 [=====>........................] - ETA: 10s"
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      "107192320/488153424 [=====>........................] - ETA: 10s"
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      "109690880/488153424 [=====>........................] - ETA: 10s"
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      "109838336/488153424 [=====>........................] - ETA: 10s"
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      "Downloading data from https://storage.googleapis.com/civil_comments_dataset/validate_tf_processed.tfrecord\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "     8192/324941336 [..............................] - ETA: 0s"
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      "    81920/324941336 [..............................] - ETA: 8:21"
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      "  1507328/324941336 [..............................] - ETA: 1:13"
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      "  2646016/324941336 [..............................] - ETA: 47s "
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      "  9641984/324941336 [..............................] - ETA: 17s"
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      " 11804672/324941336 [>.............................] - ETA: 15s"
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      " 13836288/324941336 [>.............................] - ETA: 14s"
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      " 15949824/324941336 [>.............................] - ETA: 13s"
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      " 18292736/324941336 [>.............................] - ETA: 12s"
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      " 20856832/324941336 [>.............................] - ETA: 11s"
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      " 23273472/324941336 [=>............................] - ETA: 10s"
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      " 25731072/324941336 [=>............................] - ETA: 10s"
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      " 28549120/324941336 [=>............................] - ETA: 9s "
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      " 31375360/324941336 [=>............................] - ETA: 9s"
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      " 34177024/324941336 [==>...........................] - ETA: 8s"
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      " 37011456/324941336 [==>...........................] - ETA: 8s"
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      " 39829504/324941336 [==>...........................] - ETA: 8s"
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      " 42557440/324941336 [==>...........................] - ETA: 7s"
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      " 45367296/324941336 [===>..........................] - ETA: 7s"
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      " 47710208/324941336 [===>..........................] - ETA: 7s"
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      " 49635328/324941336 [===>..........................] - ETA: 7s"
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      " 51740672/324941336 [===>..........................] - ETA: 7s"
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      " 53600256/324941336 [===>..........................] - ETA: 7s"
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      " 55762944/324941336 [====>.........................] - ETA: 7s"
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      " 58015744/324941336 [====>.........................] - ETA: 7s"
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      " 60596224/324941336 [====>.........................] - ETA: 7s"
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      " 63430656/324941336 [====>.........................] - ETA: 6s"
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      " 66019328/324941336 [=====>........................] - ETA: 6s"
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      " 68853760/324941336 [=====>........................] - ETA: 6s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 71589888/324941336 [=====>........................] - ETA: 6s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 74047488/324941336 [=====>........................] - ETA: 6s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 76668928/324941336 [======>.......................] - ETA: 6s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 79634432/324941336 [======>.......................] - ETA: 6s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 82534400/324941336 [======>.......................] - ETA: 5s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 85508096/324941336 [======>.......................] - ETA: 5s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 88301568/324941336 [=======>......................] - ETA: 5s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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    },
    {
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     "output_type": "stream",
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    {
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     "output_type": "stream",
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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    },
    {
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     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "324411392/324941336 [============================>.] - ETA: 0s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "324941336/324941336 [==============================] - 7s 0us/step\n"
     ]
    }
   ],
   "source": [
    "# To know about dataset, check Fairness Indicators Example Colab at:\n",
    "# https://github.com/tensorflow/fairness-indicators/blob/master/g3doc/tutorials/Fairness_Indicators_Example_Colab.ipynb\n",
    "\n",
    "train_tf_file = tf.keras.utils.get_file('train.tf', 'https://storage.googleapis.com/civil_comments_dataset/train_tf_processed.tfrecord')\n",
    "validate_tf_file = tf.keras.utils.get_file('validate.tf', 'https://storage.googleapis.com/civil_comments_dataset/validate_tf_processed.tfrecord')\n",
    "\n",
    "BASE_DIR = tempfile.gettempdir()\n",
    "TEXT_FEATURE = 'comment_text'\n",
    "LABEL = 'toxicity'\n",
    "FEATURE_MAP = {\n",
    "    # Label:\n",
    "    LABEL: tf.io.FixedLenFeature([], tf.float32),\n",
    "    # Text:\n",
    "    TEXT_FEATURE: tf.io.FixedLenFeature([], tf.string),\n",
    "\n",
    "    # Identities:\n",
    "    'sexual_orientation': tf.io.VarLenFeature(tf.string),\n",
    "    'gender': tf.io.VarLenFeature(tf.string),\n",
    "    'religion': tf.io.VarLenFeature(tf.string),\n",
    "    'race': tf.io.VarLenFeature(tf.string),\n",
    "    'disability': tf.io.VarLenFeature(tf.string),\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "mfbgerCsEOmN"
   },
   "source": [
    "# Train the Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-12-14T11:02:29.080048Z",
     "iopub.status.busy": "2022-12-14T11:02:29.079783Z",
     "iopub.status.idle": "2022-12-14T11:02:44.958808Z",
     "shell.execute_reply": "2022-12-14T11:02:44.957863Z"
    },
    "id": "YwoC-dzEDid3"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Using default config.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Using default config.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Using config: {'_model_dir': '/tmpfs/tmp/train/20221214-110229', '_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, '_checkpoint_save_graph_def': True, '_service': None, '_cluster_spec': ClusterSpec({}), '_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"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Using config: {'_model_dir': '/tmpfs/tmp/train/20221214-110229', '_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, '_checkpoint_save_graph_def': True, '_service': None, '_cluster_spec': ClusterSpec({}), '_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"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /tmpfs/src/tf_docs_env/lib/python3.8/site-packages/tensorflow/python/training/training_util.py:396: 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"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /tmpfs/src/tf_docs_env/lib/python3.8/site-packages/tensorflow/python/training/training_util.py:396: 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"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Calling model_fn.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Calling model_fn.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Saver not created because there are no variables in the graph to restore\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2022-12-14 11:02:29.418732: W tensorflow/core/common_runtime/graph_constructor.cc:1526] Importing a graph with a lower producer version 26 into an existing graph with producer version 1286. Shape inference will have run different parts of the graph with different producer versions.\n",
      "INFO:tensorflow:Saver not created because there are no variables in the graph to restore\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Saver not created because there are no variables in the graph to restore\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Saver not created because there are no variables in the graph to restore\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /tmpfs/src/tf_docs_env/lib/python3.8/site-packages/tensorflow_estimator/python/estimator/canned/head.py:399: NumericColumn._get_dense_tensor (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"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /tmpfs/src/tf_docs_env/lib/python3.8/site-packages/tensorflow_estimator/python/estimator/canned/head.py:399: NumericColumn._get_dense_tensor (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"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /tmpfs/src/tf_docs_env/lib/python3.8/site-packages/tensorflow/python/feature_column/feature_column.py:2188: NumericColumn._transform_feature (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"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /tmpfs/src/tf_docs_env/lib/python3.8/site-packages/tensorflow/python/feature_column/feature_column.py:2188: NumericColumn._transform_feature (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"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /tmpfs/src/tf_docs_env/lib/python3.8/site-packages/tensorflow/python/training/adagrad.py:138: 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"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /tmpfs/src/tf_docs_env/lib/python3.8/site-packages/tensorflow/python/training/adagrad.py:138: 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"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Done calling model_fn.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Done calling model_fn.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Create CheckpointSaverHook.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Create CheckpointSaverHook.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Graph was finalized.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Graph was finalized.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2022-12-14 11:02:32.761164: W tensorflow/core/common_runtime/type_inference.cc:339] Type inference failed. This indicates an invalid graph that escaped type checking. Error message: INVALID_ARGUMENT: expected compatible input types, but input 1:\n",
      "type_id: TFT_OPTIONAL\n",
      "args {\n",
      "  type_id: TFT_PRODUCT\n",
      "  args {\n",
      "    type_id: TFT_TENSOR\n",
      "    args {\n",
      "      type_id: TFT_INT64\n",
      "    }\n",
      "  }\n",
      "}\n",
      " is neither a subtype nor a supertype of the combined inputs preceding it:\n",
      "type_id: TFT_OPTIONAL\n",
      "args {\n",
      "  type_id: TFT_PRODUCT\n",
      "  args {\n",
      "    type_id: TFT_TENSOR\n",
      "    args {\n",
      "      type_id: TFT_INT32\n",
      "    }\n",
      "  }\n",
      "}\n",
      "\n",
      "\twhile inferring type of node 'dnn/zero_fraction/cond/output/_18'\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Running local_init_op.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Running local_init_op.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Done running local_init_op.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Done running local_init_op.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Calling checkpoint listeners before saving checkpoint 0...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Calling checkpoint listeners before saving checkpoint 0...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Saving checkpoints for 0 into /tmpfs/tmp/train/20221214-110229/model.ckpt.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Saving checkpoints for 0 into /tmpfs/tmp/train/20221214-110229/model.ckpt.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Calling checkpoint listeners after saving checkpoint 0...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Calling checkpoint listeners after saving checkpoint 0...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:loss = 59.342094, step = 0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:loss = 59.342094, step = 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:global_step/sec: 106.458\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:global_step/sec: 106.458\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:loss = 56.15521, step = 100 (0.941 sec)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:loss = 56.15521, step = 100 (0.941 sec)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:global_step/sec: 119.044\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:global_step/sec: 119.044\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:loss = 47.173832, step = 200 (0.840 sec)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:loss = 47.173832, step = 200 (0.840 sec)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:global_step/sec: 121.513\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:global_step/sec: 121.513\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:loss = 55.923626, step = 300 (0.823 sec)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:loss = 55.923626, step = 300 (0.823 sec)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:global_step/sec: 117.954\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:global_step/sec: 117.954\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:loss = 55.986916, step = 400 (0.848 sec)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:loss = 55.986916, step = 400 (0.848 sec)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:global_step/sec: 117.137\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:global_step/sec: 117.137\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:loss = 41.569267, step = 500 (0.854 sec)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:loss = 41.569267, step = 500 (0.854 sec)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:global_step/sec: 119.858\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:global_step/sec: 119.858\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:loss = 45.4774, step = 600 (0.834 sec)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:loss = 45.4774, step = 600 (0.834 sec)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:global_step/sec: 109.664\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:global_step/sec: 109.664\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:loss = 51.01483, step = 700 (0.912 sec)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:loss = 51.01483, step = 700 (0.912 sec)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:global_step/sec: 116.795\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:global_step/sec: 116.795\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:loss = 47.566914, step = 800 (0.856 sec)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:loss = 47.566914, step = 800 (0.856 sec)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:global_step/sec: 120.663\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:global_step/sec: 120.663\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:loss = 47.934036, step = 900 (0.829 sec)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:loss = 47.934036, step = 900 (0.829 sec)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Calling checkpoint listeners before saving checkpoint 1000...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Calling checkpoint listeners before saving checkpoint 1000...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Saving checkpoints for 1000 into /tmpfs/tmp/train/20221214-110229/model.ckpt.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Saving checkpoints for 1000 into /tmpfs/tmp/train/20221214-110229/model.ckpt.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Calling checkpoint listeners after saving checkpoint 1000...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Calling checkpoint listeners after saving checkpoint 1000...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Loss for final step: 51.091232.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Loss for final step: 51.091232.\n"
     ]
    }
   ],
   "source": [
    "model_dir = os.path.join(BASE_DIR, 'train',\n",
    "                         datetime.datetime.now().strftime('%Y%m%d-%H%M%S'))\n",
    "\n",
    "classifier = example_model.train_model(model_dir,\n",
    "                                       train_tf_file,\n",
    "                                       LABEL,\n",
    "                                       TEXT_FEATURE,\n",
    "                                       FEATURE_MAP)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "jTPqije9Eg5b"
   },
   "source": [
    "# Run TensorFlow Model Analysis with Fairness Indicators\n",
    "This step might take 2 to 5 minutes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-12-14T11:02:44.963463Z",
     "iopub.status.busy": "2022-12-14T11:02:44.962659Z",
     "iopub.status.idle": "2022-12-14T11:04:38.025547Z",
     "shell.execute_reply": "2022-12-14T11:04:38.024923Z"
    },
    "id": "QLjiy5VCzlRw"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /tmpfs/src/tf_docs_env/lib/python3.8/site-packages/tensorflow_model_analysis/eval_saved_model/encoding.py:132: build_tensor_info (from tensorflow.python.saved_model.utils_impl) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "This API was designed for TensorFlow v1. See https://www.tensorflow.org/guide/migrate for instructions on how to migrate your code to TensorFlow v2.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /tmpfs/src/tf_docs_env/lib/python3.8/site-packages/tensorflow_model_analysis/eval_saved_model/encoding.py:132: build_tensor_info (from tensorflow.python.saved_model.utils_impl) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "This API was designed for TensorFlow v1. See https://www.tensorflow.org/guide/migrate for instructions on how to migrate your code to TensorFlow v2.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Calling model_fn.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Calling model_fn.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Saver not created because there are no variables in the graph to restore\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2022-12-14 11:02:45.003050: W tensorflow/core/common_runtime/graph_constructor.cc:1526] Importing a graph with a lower producer version 26 into an existing graph with producer version 1286. Shape inference will have run different parts of the graph with different producer versions.\n",
      "INFO:tensorflow:Saver not created because there are no variables in the graph to restore\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Saver not created because there are no variables in the graph to restore\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Saver not created because there are no variables in the graph to restore\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /tmpfs/src/tf_docs_env/lib/python3.8/site-packages/tensorflow_estimator/python/estimator/canned/head.py:635: auc (from tensorflow.python.ops.metrics_impl) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "The value of AUC returned by this may race with the update so this is deprecated. Please use tf.keras.metrics.AUC instead.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /tmpfs/src/tf_docs_env/lib/python3.8/site-packages/tensorflow_estimator/python/estimator/canned/head.py:635: auc (from tensorflow.python.ops.metrics_impl) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "The value of AUC returned by this may race with the update so this is deprecated. Please use tf.keras.metrics.AUC instead.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:Trapezoidal rule is known to produce incorrect PR-AUCs; please switch to \"careful_interpolation\" instead.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:Trapezoidal rule is known to produce incorrect PR-AUCs; please switch to \"careful_interpolation\" instead.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:Trapezoidal rule is known to produce incorrect PR-AUCs; please switch to \"careful_interpolation\" instead.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:Trapezoidal rule is known to produce incorrect PR-AUCs; please switch to \"careful_interpolation\" instead.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Done calling model_fn.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Done calling model_fn.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /tmpfs/src/tf_docs_env/lib/python3.8/site-packages/tensorflow/python/saved_model/model_utils/export_utils.py:84: get_tensor_from_tensor_info (from tensorflow.python.saved_model.utils_impl) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "This API was designed for TensorFlow v1. See https://www.tensorflow.org/guide/migrate for instructions on how to migrate your code to TensorFlow v2.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /tmpfs/src/tf_docs_env/lib/python3.8/site-packages/tensorflow/python/saved_model/model_utils/export_utils.py:84: get_tensor_from_tensor_info (from tensorflow.python.saved_model.utils_impl) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "This API was designed for TensorFlow v1. See https://www.tensorflow.org/guide/migrate for instructions on how to migrate your code to TensorFlow v2.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Signatures INCLUDED in export for Classify: None\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Signatures INCLUDED in export for Classify: None\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Signatures INCLUDED in export for Regress: None\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Signatures INCLUDED in export for Regress: None\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Signatures INCLUDED in export for Predict: None\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Signatures INCLUDED in export for Predict: None\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Signatures INCLUDED in export for Train: None\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Signatures INCLUDED in export for Train: None\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Signatures INCLUDED in export for Eval: ['eval']\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Signatures INCLUDED in export for Eval: ['eval']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:Export includes no default signature!\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:Export includes no default signature!\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Restoring parameters from /tmpfs/tmp/train/20221214-110229/model.ckpt-1000\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Restoring parameters from /tmpfs/tmp/train/20221214-110229/model.ckpt-1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets added to graph.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets added to graph.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: /tmpfs/tmp/tfma_eval_model/temp-1671015764/assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: /tmpfs/tmp/tfma_eval_model/temp-1671015764/assets\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:SavedModel written to: /tmpfs/tmp/tfma_eval_model/temp-1671015764/saved_model.pb\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:SavedModel written to: /tmpfs/tmp/tfma_eval_model/temp-1671015764/saved_model.pb\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Tensorflow version (2.11.0) found. Note that TFMA support for TF 2.0 is currently in beta\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:apache_beam.runners.interactive.interactive_environment:Dependencies required for Interactive Beam PCollection visualization are not available, please use: `pip install apache-beam[interactive]` to install necessary dependencies to enable all data visualization features.\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "        if (typeof window.interactive_beam_jquery == 'undefined') {\n",
       "          var jqueryScript = document.createElement('script');\n",
       "          jqueryScript.src = 'https://code.jquery.com/jquery-3.4.1.slim.min.js';\n",
       "          jqueryScript.type = 'text/javascript';\n",
       "          jqueryScript.onload = function() {\n",
       "            var datatableScript = document.createElement('script');\n",
       "            datatableScript.src = 'https://cdn.datatables.net/1.10.20/js/jquery.dataTables.min.js';\n",
       "            datatableScript.type = 'text/javascript';\n",
       "            datatableScript.onload = function() {\n",
       "              window.interactive_beam_jquery = jQuery.noConflict(true);\n",
       "              window.interactive_beam_jquery(document).ready(function($){\n",
       "                \n",
       "              });\n",
       "            }\n",
       "            document.head.appendChild(datatableScript);\n",
       "          };\n",
       "          document.head.appendChild(jqueryScript);\n",
       "        } else {\n",
       "          window.interactive_beam_jquery(document).ready(function($){\n",
       "            \n",
       "          });\n",
       "        }"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /tmpfs/src/tf_docs_env/lib/python3.8/site-packages/tensorflow_model_analysis/eval_saved_model/load.py:163: load (from tensorflow.python.saved_model.loader_impl) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use `tf.saved_model.load` instead.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /tmpfs/src/tf_docs_env/lib/python3.8/site-packages/tensorflow_model_analysis/eval_saved_model/load.py:163: load (from tensorflow.python.saved_model.loader_impl) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use `tf.saved_model.load` instead.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Restoring parameters from /tmpfs/tmp/tfma_eval_model/1671015764/variables/variables\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Restoring parameters from /tmpfs/tmp/tfma_eval_model/1671015764/variables/variables\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2022-12-14 11:02:49.417145: W tensorflow/c/c_api.cc:291] Operation '{name:'dnn/metrics/auc_precision_recall/false_positives/Assign' id:1194 op device:{requested: '', assigned: ''} def:{{{node dnn/metrics/auc_precision_recall/false_positives/Assign}} = AssignVariableOp[_has_manual_control_dependencies=true, dtype=DT_FLOAT, validate_shape=false](dnn/metrics/auc_precision_recall/false_positives, dnn/metrics/auc_precision_recall/false_positives/Initializer/zeros)}}' was changed by setting attribute after it was run by a session. This mutation will have no effect, and will trigger an error in the future. Either don't modify nodes after running them or create a new session.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2022-12-14 11:02:49.766072: W tensorflow/c/c_api.cc:291] Operation '{name:'dnn/metrics/auc_precision_recall/false_positives/Assign' id:1194 op device:{requested: '', assigned: ''} def:{{{node dnn/metrics/auc_precision_recall/false_positives/Assign}} = AssignVariableOp[_has_manual_control_dependencies=true, dtype=DT_FLOAT, validate_shape=false](dnn/metrics/auc_precision_recall/false_positives, dnn/metrics/auc_precision_recall/false_positives/Initializer/zeros)}}' was changed by setting attribute after it was run by a session. This mutation will have no effect, and will trigger an error in the future. Either don't modify nodes after running them or create a new session.\n",
      "WARNING:apache_beam.io.tfrecordio:Couldn't find python-snappy so the implementation of _TFRecordUtil._masked_crc32c is not as fast as it could be.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:apache_beam.io.filebasedsink:Deleting 1 existing files in target path matching: \n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:apache_beam.io.filebasedsink:Deleting 1 existing files in target path matching: -*-of-%(num_shards)05d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:apache_beam.io.filebasedsink:No shards found to finalize. num_shards: 1, skipped: 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /tmpfs/src/tf_docs_env/lib/python3.8/site-packages/tensorflow_model_analysis/writers/metrics_plots_and_validations_writer.py:110: tf_record_iterator (from tensorflow.python.lib.io.tf_record) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use eager execution and: \n",
      "`tf.data.TFRecordDataset(path)`\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /tmpfs/src/tf_docs_env/lib/python3.8/site-packages/tensorflow_model_analysis/writers/metrics_plots_and_validations_writer.py:110: tf_record_iterator (from tensorflow.python.lib.io.tf_record) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use eager execution and: \n",
      "`tf.data.TFRecordDataset(path)`\n"
     ]
    }
   ],
   "source": [
    "tfma_eval_result_path = os.path.join(BASE_DIR, 'tfma_eval_result')\n",
    "\n",
    "example_model.evaluate_model(classifier,\n",
    "                             validate_tf_file,\n",
    "                             tfma_eval_result_path,\n",
    "                             'gender',\n",
    "                             LABEL,\n",
    "                             FEATURE_MAP)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "U1ROnulYc8Ub"
   },
   "source": [
    "# Visualize Fairness Indicators in TensorBoard\n",
    "\n",
    "\n",
    "Below you will visualize Fairness Indicators in Tensorboard and compare performance of each slice of the data on selected metrics. You can adjust the baseline comparison slice as well as the displayed threshold(s) using the drop down menus at the top of the visualization. You can also select different evaluation runs using the drop down menu at the top-left corner."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "zCV-Jo0xda6g"
   },
   "source": [
    "## Write Fairness Indicators Summary\n",
    "Write summary file containing all required information to visualize Fairness Indicators in TensorBoard."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-12-14T11:04:38.029461Z",
     "iopub.status.busy": "2022-12-14T11:04:38.028964Z",
     "iopub.status.idle": "2022-12-14T11:04:38.043635Z",
     "shell.execute_reply": "2022-12-14T11:04:38.043023Z"
    },
    "id": "JNaNhTCTAMHm"
   },
   "outputs": [],
   "source": [
    "import tensorflow.compat.v2 as tf2\n",
    "\n",
    "writer = tf2.summary.create_file_writer(\n",
    "    os.path.join(model_dir, 'fairness_indicators'))\n",
    "with writer.as_default():\n",
    "  summary_v2.FairnessIndicators(tfma_eval_result_path, step=1)\n",
    "writer.close()"
   ]
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    "## Launch TensorBoard\n",
    "Navigate to \"Fairness Indicators\" tab to visualize Fairness Indicators."
   ]
  },
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     "iopub.status.busy": "2022-12-14T11:04:38.046590Z",
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   "source": [
    "%load_ext tensorboard"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "ix6d718udWsK"
   },
   "outputs": [],
   "source": [
    "%tensorboard --logdir=$model_dir"
   ]
  }
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