{ }
View source on GitHub |
Computes the recall of the predictions with respect to the labels.
tf.compat.v1.metrics.recall(
labels,
predictions,
weights=None,
metrics_collections=None,
updates_collections=None,
name=None
)
Used in the notebooks
Used in the tutorials |
---|
The recall
function creates two local variables, true_positives
and false_negatives
, that are used to compute the recall. This value is
ultimately returned as recall
, an idempotent operation that simply divides
true_positives
by the sum of true_positives
and false_negatives
.
For estimation of the metric over a stream of data, the function creates an
update_op
that updates these variables and returns the recall
. 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.