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tf.contrib.metrics.accuracy(predictions, labels, weights=None)

tf.contrib.metrics.accuracy(predictions, labels, weights=None)

See the guide: Metrics (contrib) > Metric Ops

Computes the percentage of times that predictions matches labels.

Args:

  • predictions: the predicted values, a Tensor whose dtype and shape matches 'labels'.
  • labels: the ground truth values, a Tensor of any shape and bool, integer, or string dtype.
  • weights: None or Tensor of float values to reweight the accuracy.

Returns:

Accuracy Tensor.

Raises:

  • ValueError: if dtypes don't match or if dtype is not bool, integer, or string.

Defined in tensorflow/contrib/metrics/python/metrics/classification.py.

© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/contrib/metrics/accuracy