Comment out Boosted Trees code example

PiperOrigin-RevId: 424870204

Author: mihaimaruseac

site/en/guide/migrate/canned_estimators.ipynb

@@ -541,7 +541,7 @@
         "id": "oEWYHNt4eOKD"
       },
       "source": [
-        "In TensorFlow 1, you can 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."
+        "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."
       ]
     },
     {
@@ -552,12 +552,12 @@
       },
       "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)"
+        "# 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)"
       ]
     },
     {
@@ -568,8 +568,8 @@
       },
       "outputs": [],
       "source": [
-        "bt_estimator.train(input_fn=_input_fn, steps=1000)\n",
-        "bt_estimator.evaluate(input_fn=_eval_input_fn, steps=100)"
+        "# bt_estimator.train(input_fn=_input_fn, steps=1000)\n",
+        "# bt_estimator.evaluate(input_fn=_eval_input_fn, steps=100)"
       ]
     },
     {