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authorGravatar Stephan Hoyer <shoyer@google.com>2018-04-12 16:57:40 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-04-12 17:03:26 -0700
commit59c828c5f0d040f6461534d7760e2ff6e89b3f1a (patch)
treef62bd38cf3ea203dd488fbe9a511f6d00554723f /tensorflow/contrib/training
parent5f7929b8c340b579f859396677c17f010f94d984 (diff)
Document support for boolean values in tf.contrib.training.HParams.
PiperOrigin-RevId: 192694244
Diffstat (limited to 'tensorflow/contrib/training')
-rw-r--r--tensorflow/contrib/training/python/training/hparam.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/contrib/training/python/training/hparam.py b/tensorflow/contrib/training/python/training/hparam.py
index 185f70a86d..6c59b68053 100644
--- a/tensorflow/contrib/training/python/training/hparam.py
+++ b/tensorflow/contrib/training/python/training/hparam.py
@@ -315,7 +315,7 @@ class HParams(object):
Hyperparameters have type, which is inferred from the type of their value
passed at construction type. The currently supported types are: integer,
- float, string, and list of integer, float, or string.
+ float, boolean, string, and list of integer, float, boolean, or string.
You can override hyperparameter values by calling the
[`parse()`](#HParams.parse) method, passing a string of comma separated