Move dead code to a text cell.

PiperOrigin-RevId: 424960065

Author: MarkDaoust

site/en/guide/migrate/canned_estimators.ipynb

@@ -541,35 +541,35 @@
         "id": "oEWYHNt4eOKD"
       },
       "source": [
-        "In TensorFlow 1, you could use `tf.estimator.BoostedTreesEstimator` to create a baseline to create a baseline Gradient Boosting model using an ensemble of decision trees for regression and classification problems. This functionality is not included in TensorFlow 2."
+        "In TensorFlow 1, you could use `tf.estimator.BoostedTreesEstimator` to create a baseline to create a baseline Gradient Boosting model using an ensemble of decision trees for regression and classification problems. This functionality is no longer included in TensorFlow 2."
       ]
     },
     {
-      "cell_type": "code",
-      "execution_count": null,
+      "cell_type": "markdown",
       "metadata": {
-        "id": "uBIURLLMeOKE"
+        "id": "wliVIER1jLnA"
       },
-      "outputs": [],
       "source": [
-        "# bt_estimator = tf1.estimator.BoostedTreesEstimator(\n",
-        "#     head=tf.estimator.BinaryClassHead(),\n",
-        "#     n_batches_per_layer=1,\n",
-        "#     max_depth=10,\n",
-        "#     n_trees=1000,\n",
-        "#     feature_columns=feature_columns)"
+        "```\n",
+        "bt_estimator = tf1.estimator.BoostedTreesEstimator(\n",
+        "    head=tf.estimator.BinaryClassHead(),\n",
+        "    n_batches_per_layer=1,\n",
+        "    max_depth=10,\n",
+        "    n_trees=1000,\n",
+        "    feature_columns=feature_columns)\n",
+        "```"
       ]
     },
     {
-      "cell_type": "code",
-      "execution_count": null,
+      "cell_type": "markdown",
       "metadata": {
-        "id": "MUo5omt3eOKE"
+        "id": "-K87uBrZjR0u"
       },
-      "outputs": [],
       "source": [
-        "# bt_estimator.train(input_fn=_input_fn, steps=1000)\n",
-        "# bt_estimator.evaluate(input_fn=_eval_input_fn, steps=100)"
+        "```\n",
+        "bt_estimator.train(input_fn=_input_fn, steps=1000)\n",
+        "bt_estimator.evaluate(input_fn=_eval_input_fn, steps=100)\n",
+        "```"
       ]
     },
     {
@@ -666,6 +666,7 @@
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       "collapsed_sections": [],
       "name": "canned_estimators.ipynb",
+      "provenance": [],
       "toc_visible": true
     },
     "kernelspec": {