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author | A. Unique TensorFlower <gardener@tensorflow.org> | 2017-11-27 06:29:45 -0800 |
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committer | TensorFlower Gardener <gardener@tensorflow.org> | 2017-11-27 06:33:15 -0800 |
commit | 191825e63f341a4e7777b85254f616e541000d5c (patch) | |
tree | 55e7a384e6dcea2e154a5419b5dc05326fb20c8b /tensorflow/contrib/metrics | |
parent | a264269f523467ac018708a647eab02c1f1010fe (diff) |
Delete trailing whitespace
PiperOrigin-RevId: 177008504
Diffstat (limited to 'tensorflow/contrib/metrics')
-rw-r--r-- | tensorflow/contrib/metrics/README.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/contrib/metrics/README.md b/tensorflow/contrib/metrics/README.md index 247ebac5bb..e0f2d74fa3 100644 --- a/tensorflow/contrib/metrics/README.md +++ b/tensorflow/contrib/metrics/README.md @@ -4,7 +4,7 @@ Metrics are used in evaluation to assess the quality of a model. Most are "streaming" ops, meaning they create variables to accumulate a running total, -and return an update tensor to update these variables, and a value tensor to +and return an update tensor to update these variables, and a value tensor to read the accumulated value. Example: value, update_op = metrics.streaming_mean_squared_error( |