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Computes various recall values for different thresholds
on predictions
. (deprecated)
tf.contrib.metrics.streaming_recall_at_thresholds(
predictions, labels, thresholds, weights=None, metrics_collections=None,
updates_collections=None, name=None
)
The streaming_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.
Args | |
---|---|
predictions
|
A floating point Tensor of arbitrary shape and whose values
are in the range [0, 1] .
|
labels
|
A bool Tensor whose shape matches predictions .
|
thresholds
|
A python list or tuple of float thresholds in [0, 1] .
|
weights
|
Tensor whose rank is either 0, or the same rank as labels , and
must be broadcastable to labels (i.e., all dimensions must be either
1 , or the same as the corresponding labels dimension).
|
metrics_collections
|
An optional list of collections that recall should be
added to.
|
updates_collections
|
An optional list of collections that update_op should
be added to.
|
name
|
An optional variable_scope name. |
Returns | |
---|---|
recall
|
A float Tensor of shape [len(thresholds)] .
|
update_op
|
An operation that increments the true_positives ,
true_negatives , false_positives and false_negatives variables that
are used in the computation of recall .
|
Raises | |
---|---|
ValueError
|
If predictions and labels have mismatched shapes, or if
weights is not None and its shape doesn't match predictions , or if
either metrics_collections or updates_collections are not a list or
tuple.
|