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author | A. Unique TensorFlower <gardener@tensorflow.org> | 2017-09-14 07:27:48 -0700 |
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committer | TensorFlower Gardener <gardener@tensorflow.org> | 2017-09-14 07:31:32 -0700 |
commit | 6d7c72f19c157fdcb13a7086eff5e92bec9c2bc2 (patch) | |
tree | 931b14d7974534b17252f9ca3e4d15f28094b983 /tensorflow/contrib/tensor_forest/python | |
parent | 370ee8635d917941e5f50adb52267d4187ce4dcd (diff) |
Add README.md for TensorForest.
PiperOrigin-RevId: 168685581
Diffstat (limited to 'tensorflow/contrib/tensor_forest/python')
-rw-r--r-- | tensorflow/contrib/tensor_forest/python/tensor_forest.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/contrib/tensor_forest/python/tensor_forest.py b/tensorflow/contrib/tensor_forest/python/tensor_forest.py index 06762a673f..756533250a 100644 --- a/tensorflow/contrib/tensor_forest/python/tensor_forest.py +++ b/tensorflow/contrib/tensor_forest/python/tensor_forest.py @@ -437,7 +437,7 @@ class RandomForestGraphs(object): if processed_sparse_features is not None: raise NotImplementedError( 'Bagging not supported with sparse features.') - # TODO(thomaswc): This does sampling without replacment. Consider + # TODO(thomaswc): This does sampling without replacement. Consider # also allowing sampling with replacement as an option. batch_size = array_ops.strided_slice( array_ops.shape(processed_dense_features), [0], [1]) |