Add ML-Fairness link, License and Buttons

samples/core/tutorials/estimators/wide.ipynb

@@ -5,7 +5,8 @@
     "colab": {
       "name": "wide.ipynb",
       "version": "0.3.2",
-      "provenance": []
+      "provenance": [],
+      "toc_visible": true
     },
     "kernelspec": {
       "display_name": "Python 3",
@@ -14,6 +15,43 @@
     }
   },
   "cells": [
+    {
+      "metadata": {
+        "id": "MWW1TyjaecRh",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "##### Copyright 2018 The TensorFlow Authors."
+      ]
+    },
+    {
+      "metadata": {
+        "id": "mOtR1FzCef-u",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 17
+        },
+        "outputId": "7630cdc6-5777-4690-e40e-6652172effc1"
+      },
+      "cell_type": "code",
+      "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."
+      ],
+      "execution_count": 39,
+      "outputs": []
+    },
     {
       "metadata": {
         "id": "Zr7KpBhMcYvE",
@@ -22,7 +60,12 @@
       "cell_type": "markdown",
       "source": [
         "# TensorFlow Linear Model Tutorial\n",
-        "\n"
+        "\n",
+        "<table class=\"tfo-notebook-buttons\" align=\"left\"><td>\n",
+        "<a target=\"_blank\"  href=\"https://colab.research.google.com/github/tensorflow/models/blob/master/samples/core/tutorials/estimators/wide.ipynb\">\n",
+        "    <img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" /><span>Run in Google Colab</span></a>  \n",
+        "</td><td>\n",
+        "<a target=\"_blank\"  href=\"https://github.com/tensorflow/models/blob/master/samples/core/tutorials/estimators/wide.ipynb\"><img width=32px src=\"https://www.tensorflow.org/images/GitHub-Mark-32px.png\" /><span>View source on GitHub</span></a></td></table>"
       ]
     },
     {
@@ -218,6 +261,16 @@
       "execution_count": 0,
       "outputs": []
     },
+    {
+      "metadata": {
+        "id": "mLUJpWKoeCAE",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "Key Point: As a modeler and developer, think about how this data is used and the potential benefits and harm a model's predictions can cause. A model like this could reinforce societal biases and disparities. Is a feature relevant to the problem you want to solve or will it introduce bias? For more information, read about [ML fairness](https://developers.google.com/machine-learning/fairness-overview/)."
+      ]
+    },
     {
       "metadata": {
         "id": "QZZtXes4cYvf",
@@ -1277,19 +1330,6 @@
         "- This [blog post]( https://medium.com/tensorflow/classifying-text-with-tensorflow-estimators) on processing text with `Estimators`\n",
         "- How to [build a custom CNN estimator](https://www.tensorflow.org/tutorials/estimators/cnn)"
       ]
-    },
-    {
-      "metadata": {
-        "id": "jpdw2z5WcYxV",
-        "colab_type": "code",
-        "colab": {}
-      },
-      "cell_type": "code",
-      "source": [
-        ""
-      ],
-      "execution_count": 0,
-      "outputs": []
     }
   ]
 }
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