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authorGravatar A. Unique TensorFlower <gardener@tensorflow.org>2018-01-31 10:59:49 -0800
committerGravatar Michael Case <mikecase@google.com>2018-01-31 17:18:41 -0800
commitacb2d6147415f8556ac74cbf45118baf00ca64df (patch)
tree30b58d9a05ac61222160826ab40c1040ee715043 /tensorflow/contrib/factorization
parent35cc45f0a8832a00f69f33858ce08c4242433ce7 (diff)
Typo Correction.
PiperOrigin-RevId: 184016082
Diffstat (limited to 'tensorflow/contrib/factorization')
-rw-r--r--tensorflow/contrib/factorization/python/ops/kmeans.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/contrib/factorization/python/ops/kmeans.py b/tensorflow/contrib/factorization/python/ops/kmeans.py
index 4d0f9b2424..c861cfff54 100644
--- a/tensorflow/contrib/factorization/python/ops/kmeans.py
+++ b/tensorflow/contrib/factorization/python/ops/kmeans.py
@@ -143,7 +143,7 @@ class _ModelFn(object):
def model_fn(self, features, mode, config):
"""Model function for the estimator.
- Note that this does not take a `1abels` arg. This works, but `input_fn` must
+ Note that this does not take a `labels` arg. This works, but `input_fn` must
return either `features` or, equivalently, `(features, None)`.
Args: