diff options
Diffstat (limited to 'tensorflow/contrib')
3 files changed, 5 insertions, 5 deletions
diff --git a/tensorflow/contrib/estimator/python/estimator/boosted_trees.py b/tensorflow/contrib/estimator/python/estimator/boosted_trees.py index a1f1c5f3d7..b131ed4f12 100644 --- a/tensorflow/contrib/estimator/python/estimator/boosted_trees.py +++ b/tensorflow/contrib/estimator/python/estimator/boosted_trees.py @@ -75,7 +75,7 @@ class _BoostedTreesEstimator(canned_boosted_trees._BoostedTreesBase): # pylint: layer. head: the `Head` instance defined for Estimator. model_dir: Directory to save model parameters, graph and etc. This can - also be used to load checkpoints from the directory into a estimator + also be used to load checkpoints from the directory into an estimator to continue training a previously saved model. weight_column: A string or a `_NumericColumn` created by `tf.feature_column.numeric_column` defining feature column representing @@ -199,7 +199,7 @@ def boosted_trees_classifier_train_in_memory( the model. All items in the set should be instances of classes derived from `FeatureColumn`. model_dir: Directory to save model parameters, graph and etc. This can - also be used to load checkpoints from the directory into a estimator + also be used to load checkpoints from the directory into an estimator to continue training a previously saved model. n_classes: number of label classes. Default is binary classification. Multiclass support is not yet implemented. @@ -345,7 +345,7 @@ def boosted_trees_regressor_train_in_memory( the model. All items in the set should be instances of classes derived from `FeatureColumn`. model_dir: Directory to save model parameters, graph and etc. This can - also be used to load checkpoints from the directory into a estimator + also be used to load checkpoints from the directory into an estimator to continue training a previously saved model. label_dimension: Number of regression targets per example. Multi-dimensional support is not yet implemented. diff --git a/tensorflow/contrib/estimator/python/estimator/dnn_linear_combined.py b/tensorflow/contrib/estimator/python/estimator/dnn_linear_combined.py index 724bc2c82f..4e7965ef26 100644 --- a/tensorflow/contrib/estimator/python/estimator/dnn_linear_combined.py +++ b/tensorflow/contrib/estimator/python/estimator/dnn_linear_combined.py @@ -118,7 +118,7 @@ class DNNLinearCombinedEstimator(estimator.Estimator): head: A `_Head` instance constructed with a method such as `tf.contrib.estimator.multi_label_head`. model_dir: Directory to save model parameters, graph and etc. This can - also be used to load checkpoints from the directory into a estimator + also be used to load checkpoints from the directory into an estimator to continue training a previously saved model. linear_feature_columns: An iterable containing all the feature columns used by linear part of the model. All items in the set must be diff --git a/tensorflow/contrib/estimator/python/estimator/dnn_with_layer_annotations.py b/tensorflow/contrib/estimator/python/estimator/dnn_with_layer_annotations.py index 6ca7aaf989..40a91175b7 100644 --- a/tensorflow/contrib/estimator/python/estimator/dnn_with_layer_annotations.py +++ b/tensorflow/contrib/estimator/python/estimator/dnn_with_layer_annotations.py @@ -248,7 +248,7 @@ def DNNClassifierWithLayerAnnotations( # pylint: disable=invalid-name model. All items in the set should be instances of classes derived from `_FeatureColumn`. model_dir: Directory to save model parameters, graph and etc. This can also - be used to load checkpoints from the directory into a estimator to + be used to load checkpoints from the directory into an estimator to continue training a previously saved model. n_classes: Number of label classes. Defaults to 2, namely binary classification. Must be > 1. |