tf.contrib.metrics.recall_at_precision( labels, predictions, precision, weights=None, num_thresholds=200, metrics_collections=None, updates_collections=None, name=None )
Defined in tensorflow/contrib/metrics/python/ops/metric_ops.py
.
Computes recall
at precision
.
The recall_at_precision
function creates four local variables, tp
(true positives), fp
(false positives) and fn
(false negatives) that are used to compute the recall
at the given precision
value. The threshold for the given precision
value is computed and used to evaluate the corresponding recall
.
For estimation of the metric over a stream of data, the function creates an update_op
operation that updates these variables and returns the recall
. update_op
increments the tp
, fp
and fn
counts with the weight of each case found in the predictions
and labels
.
If weights
is None
, weights default to 1. Use weights of 0 to mask values.
labels
: The ground truth values, a Tensor
whose dimensions must match predictions
. Will be cast to bool
.predictions
: A floating point Tensor
of arbitrary shape and whose values are in the range [0, 1]
.precision
: A scalar value in range [0, 1]
.weights
: Optional 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).num_thresholds
: The number of thresholds to use for matching the given precision
.metrics_collections
: An optional list of collections that recall
should be added to.updates_collections
: An optional list of collections that update_op
should be added to.name
: An optional variable_scope name.recall
: A scalar Tensor
representing the recall at the given precision
value.update_op
: An operation that increments the tp
, fp
and fn
variables appropriately and whose value matches recall
.ValueError
: If predictions
and labels
have mismatched shapes, if weights
is not None
and its shape doesn't match predictions
, or if precision
is not between 0 and 1, or if either metrics_collections
or updates_collections
are not a list or tuple.
© 2018 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/recall_at_precision