contrib.metrics.streaming_precision_at_thresholds
tf.contrib.metrics.streaming_precision_at_thresholds
tf.contrib.metrics.streaming_precision_at_thresholds
streaming_precision_at_thresholds( predictions, labels, thresholds, weights=None, metrics_collections=None, updates_collections=None, name=None )
Defined in tensorflow/contrib/metrics/python/ops/metric_ops.py
.
See the guide: Metrics (contrib) > Metric Ops
Computes precision values for different thresholds
on predictions
.
The streaming_precision_at_thresholds
function creates four local variables, true_positives
, true_negatives
, false_positives
and false_negatives
for various values of thresholds. precision[i]
is defined as the total weight of values in predictions
above thresholds[i]
whose corresponding entry in labels
is True
, divided by the total weight of values in predictions
above thresholds[i]
(true_positives[i] / (true_positives[i] + false_positives[i])
).
For estimation of the metric over a stream of data, the function creates an update_op
operation that updates these variables and returns the precision
.
If weights
is None
, weights default to 1. Use weights of 0 to mask values.
Args:
-
predictions
: A floating pointTensor
of arbitrary shape and whose values are in the range[0, 1]
. -
labels
: Abool
Tensor
whose shape matchespredictions
. -
thresholds
: A python list or tuple of float thresholds in[0, 1]
. -
weights
:Tensor
whose rank is either 0, or the same rank aslabels
, and must be broadcastable tolabels
(i.e., all dimensions must be either1
, or the same as the correspondinglabels
dimension). -
metrics_collections
: An optional list of collections thatauc
should be added to. -
updates_collections
: An optional list of collections thatupdate_op
should be added to. -
name
: An optional variable_scope name.
Returns:
-
precision
: A floatTensor
of shape[len(thresholds)]
. -
update_op
: An operation that increments thetrue_positives
,true_negatives
,false_positives
andfalse_negatives
variables that are used in the computation ofprecision
.
Raises:
-
ValueError
: Ifpredictions
andlabels
have mismatched shapes, or ifweights
is notNone
and its shape doesn't matchpredictions
, or if eithermetrics_collections
orupdates_collections
are not a list or tuple.
© 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_precision_at_thresholds