{ }
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Computes various recall values for different thresholds
on predictions
.
tf.compat.v1.metrics.recall_at_thresholds(
labels,
predictions,
thresholds,
weights=None,
metrics_collections=None,
updates_collections=None,
name=None
)
The recall_at_thresholds
function creates four local variables,
true_positives
, true_negatives
, false_positives
and false_negatives
for various values of thresholds. recall[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 True
values in labels
(true_positives[i] / (true_positives[i] + false_negatives[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 recall
.
If weights
is None
, weights default to 1. Use weights of 0 to mask values.