{ }
View source on GitHub |
Computes the precision of the predictions with respect to the labels.
tf.compat.v1.metrics.precision(
labels,
predictions,
weights=None,
metrics_collections=None,
updates_collections=None,
name=None
)
Used in the notebooks
Used in the tutorials |
---|
The precision
function creates two local variables,
true_positives
and false_positives
, that are used to compute the
precision. This value is ultimately returned as precision
, an idempotent
operation that simply divides true_positives
by the sum of true_positives
and false_positives
.
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
. update_op
weights each prediction by the corresponding value in
weights
.
If weights
is None
, weights default to 1. Use weights of 0 to mask values.