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| author |  A. Unique TensorFlower <gardener@tensorflow.org> | 2016-10-17 06:24:51 -0800 |
|---|---|---|
| committer | TensorFlower Gardener <gardener@tensorflow.org> | 2016-10-17 07:35:40 -0700 |
| commit | 64d29a95e41113d4abf7e64cd1f6d8cdb01bc018 (patch) | |
| tree | 33eb4bcf58d39abfbdbcab1cddab6becb33a88e2 /tensorflow | |
| parent | 5b215de4ecd642f792bb6b6e75bbeefee01904b0 (diff) | |
Mark constructors for RNN Estimators as @experimental.
Change: 136348245
Diffstat (limited to 'tensorflow')
| -rw-r--r-- | tensorflow/contrib/learn/python/learn/estimators/dynamic_rnn_estimator.py | 5 |
1 files changed, 5 insertions, 0 deletions
diff --git a/tensorflow/contrib/learn/python/learn/estimators/dynamic_rnn_estimator.py b/tensorflow/contrib/learn/python/learn/estimators/dynamic_rnn_estimator.py index 249ec2ca39..241b2b41e5 100644 --- a/tensorflow/contrib/learn/python/learn/estimators/dynamic_rnn_estimator.py +++ b/tensorflow/contrib/learn/python/learn/estimators/dynamic_rnn_estimator.py @@ -23,6 +23,7 @@ import six from tensorflow.contrib import framework as contrib_framework from tensorflow.contrib import layers +from tensorflow.contrib.framework.python.framework import experimental from tensorflow.contrib.learn.python.learn.estimators import estimator from tensorflow.python.framework import dtypes from tensorflow.python.framework import ops @@ -544,6 +545,7 @@ def _get_rnn_cell(cell_type, num_units, num_layers): return cell +@experimental def multi_value_rnn_regressor(num_units, sequence_feature_columns, context_feature_columns=None, @@ -596,6 +598,7 @@ def multi_value_rnn_regressor(num_units, dtype=cell_dtype) +@experimental def multi_value_rnn_classifier(num_classes, num_units, sequence_feature_columns, @@ -650,6 +653,7 @@ def multi_value_rnn_classifier(num_classes, dtype=cell_dtype) +@experimental def single_value_rnn_regressor(num_units, sequence_feature_columns, context_feature_columns=None, @@ -702,6 +706,7 @@ def single_value_rnn_regressor(num_units, dtype=cell_dtype) +@experimental def single_value_rnn_classifier(num_classes, num_units, sequence_feature_columns, |