{ }
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Computes precision values for different thresholds
on predictions
.
tf.compat.v1.metrics.precision_at_thresholds(
labels,
predictions,
thresholds,
weights=None,
metrics_collections=None,
updates_collections=None,
name=None
)
The 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.