tf.contrib.metrics.streaming_accuracy(predictions, labels, weights=None, metrics_collections=None, updates_collections=None, name=None)
See the guide: Metrics (contrib) > Metric Ops
Calculates how often predictions
matches labels
.
The streaming_accuracy
function creates two local variables, total
and count
that are used to compute the frequency with which predictions
matches labels
. This frequency is ultimately returned as accuracy
: an idempotent operation that simply divides total
by count
.
For estimation of the metric over a stream of data, the function creates an update_op
operation that updates these variables and returns the accuracy
. Internally, an is_correct
operation computes a Tensor
with elements 1.0 where the corresponding elements of predictions
and labels
match and 0.0 otherwise. Then update_op
increments total
with the reduced sum of the product of weights
and is_correct
, and it increments count
with the reduced sum of weights
.
If weights
is None
, weights default to 1. Use weights of 0 to mask values.
predictions
: The predicted values, a Tensor
of any shape.labels
: The ground truth values, a Tensor
whose shape matches predictions
.weights
: Tensor
whose rank is either 0, or the same rank as labels
, and must be broadcastable to labels
(i.e., all dimensions must be either 1
, or the same as the corresponding labels
dimension).metrics_collections
: An optional list of collections that accuracy
should be added to.updates_collections
: An optional list of collections that update_op
should be added to.name
: An optional variable_scope name.accuracy
: A Tensor
representing the accuracy, the value of total
divided by count
.update_op
: An operation that increments the total
and count
variables appropriately and whose value matches accuracy
.ValueError
: If predictions
and labels
have mismatched shapes, or if weights
is not None
and its shape doesn't match predictions
, or if either metrics_collections
or updates_collections
are not a list or tuple.Defined in tensorflow/contrib/metrics/python/ops/metric_ops.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/streaming_accuracy