diff options
Diffstat (limited to 'tensorflow/contrib/learn/python/learn/estimators/state_saving_rnn_estimator.py')
-rw-r--r-- | tensorflow/contrib/learn/python/learn/estimators/state_saving_rnn_estimator.py | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/tensorflow/contrib/learn/python/learn/estimators/state_saving_rnn_estimator.py b/tensorflow/contrib/learn/python/learn/estimators/state_saving_rnn_estimator.py index 02acd70812..9cb4c3515a 100644 --- a/tensorflow/contrib/learn/python/learn/estimators/state_saving_rnn_estimator.py +++ b/tensorflow/contrib/learn/python/learn/estimators/state_saving_rnn_estimator.py @@ -144,7 +144,7 @@ def _prepare_features_for_sqss(features, labels, mode, describing sequence features. All items in the set should be instances of classes derived from `FeatureColumn`. context_feature_columns: An iterable containing all the feature columns - describing context features, i.e., features that apply accross all time + describing context features, i.e., features that apply across all time steps. All items in the set should be instances of classes derived from `FeatureColumn`. @@ -261,7 +261,7 @@ def _read_batch(cell, describing sequence features. All items in the set should be instances of classes derived from `FeatureColumn`. context_feature_columns: An iterable containing all the feature columns - describing context features, i.e., features that apply accross all time + describing context features, i.e., features that apply across all time steps. All items in the set should be instances of classes derived from `FeatureColumn`. num_threads: The Python integer number of threads enqueuing input examples @@ -420,7 +420,7 @@ def _get_rnn_model_fn(cell_type, describing sequence features. All items in the set should be instances of classes derived from `FeatureColumn`. context_feature_columns: An iterable containing all the feature columns - describing context features, i.e., features that apply accross all time + describing context features, i.e., features that apply across all time steps. All items in the set should be instances of classes derived from `FeatureColumn`. predict_probabilities: A boolean indicating whether to predict probabilities @@ -563,7 +563,7 @@ class StateSavingRnnEstimator(estimator.Estimator): describing sequence features. All items in the set should be instances of classes derived from `FeatureColumn`. context_feature_columns: An iterable containing all the feature columns - describing context features, i.e., features that apply accross all time + describing context features, i.e., features that apply across all time steps. All items in the set should be instances of classes derived from `FeatureColumn`. num_classes: The number of classes for categorization. Used only and |