Move TensorForestEstimator to contrib, since that's where most of its code is and it will not be considered a canned estimator in the near future.

Change: 143989623

1 files changed, 5 insertions, 6 deletions

diff --git a/tensorflow/examples/learn/random_forest_mnist.py b/tensorflow/examples/learn/random_forest_mnist.py
index a34d52275a..6a943eb42e 100644
--- a/tensorflow/examples/learn/random_forest_mnist.py
+++ b/tensorflow/examples/learn/random_forest_mnist.py
@@ -21,25 +21,24 @@ import argparse
 import sys
 import tempfile
 
-import tensorflow as tf
-
 # pylint: disable=g-backslash-continuation
 from tensorflow.contrib.learn.python.learn\
         import metric_spec
-from tensorflow.contrib.learn.python.learn.estimators\
-        import random_forest
 from tensorflow.contrib.tensor_forest.client\
         import eval_metrics
+from tensorflow.contrib.tensor_forest.client\
+        import random_forest
 from tensorflow.contrib.tensor_forest.python\
         import tensor_forest
 from tensorflow.examples.tutorials.mnist import input_data
+from tensorflow.python.platform import app
 
 FLAGS = None
 
 
 def build_estimator(model_dir):
   """Build an estimator."""
-  params = tf.contrib.tensor_forest.python.tensor_forest.ForestHParams(
+  params = tensor_forest.ForestHParams(
       num_classes=10, num_features=784,
       num_trees=FLAGS.num_trees, max_nodes=FLAGS.max_nodes)
   graph_builder_class = tensor_forest.RandomForestGraphs
@@ -129,4 +128,4 @@ if __name__ == '__main__':
       help='If true, use training loss as termination criteria.'
   )
   FLAGS, unparsed = parser.parse_known_args()
-  tf.app.run(main=main, argv=[sys.argv[0]] + unparsed)
+  app.run(main=main, argv=[sys.argv[0]] + unparsed)