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authorGravatar A. Unique TensorFlower <gardener@tensorflow.org>2017-11-27 06:29:45 -0800
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2017-11-27 06:33:15 -0800
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tree55e7a384e6dcea2e154a5419b5dc05326fb20c8b /tensorflow/contrib/metrics
parenta264269f523467ac018708a647eab02c1f1010fe (diff)
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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(