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| author |  Vicente Reyes <reyespue@gmail.com> | 2018-08-07 17:41:50 +0200 |
|---|---|---|
| committer | Vicente Reyes <reyespue@gmail.com> | 2018-08-07 17:41:50 +0200 |
| commit | c5d384469a659df4ed52d0f7cfadfbab5255c36e (patch) | |
| tree | ced6be744ae0c52459dafc826da63b9e83e45231 /tensorflow/contrib/factorization | |
| parent | a1a370cb8b8ef43996a275b64ada81f9cb32e743 (diff) | |
Delete confusing comment related to missing output Variable
The method KMeans().training_graph() does not return anymore the
output Variable cluster_centers_var. Thus the related comment
is outdated and should be deleted.
Diffstat (limited to 'tensorflow/contrib/factorization')
| -rw-r--r-- | tensorflow/contrib/factorization/python/ops/kmeans.py | 1 |
1 files changed, 0 insertions, 1 deletions
diff --git a/tensorflow/contrib/factorization/python/ops/kmeans.py b/tensorflow/contrib/factorization/python/ops/kmeans.py index 9ffdd3ba5e..21ea329190 100644 --- a/tensorflow/contrib/factorization/python/ops/kmeans.py +++ b/tensorflow/contrib/factorization/python/ops/kmeans.py @@ -188,7 +188,6 @@ class _ModelFn(object): # center. # is_initialized: scalar indicating whether the initial cluster centers # have been chosen; see init_op. - # cluster_centers_var: a Variable containing the cluster centers. # init_op: an op to choose the initial cluster centers. A single worker # repeatedly executes init_op until is_initialized becomes True. # training_op: an op that runs an iteration of training, either an entire |