tf.contrib.metrics.streaming_false_negatives( predictions, labels, weights=None, metrics_collections=None, updates_collections=None, name=None )
See the guide: Metrics (contrib) > Metric
Computes the total number of false negatives. (deprecated)
THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Please switch to tf.metrics.false_negatives. Note that the order of the labels and predictions arguments has been switched.
None, weights default to 1. Use weights of 0 to mask values.
predictions: The predicted values, a
Tensorof arbitrary dimensions. Will be cast to
labels: The ground truth values, a
Tensorwhose dimensions must match
predictions. Will be cast to
Tensorwhose 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
metrics_collections: An optional list of collections that the metric value variable should be added to.
updates_collections: An optional list of collections that the metric update ops should be added to.
name: An optional variable_scope name.
Tensorrepresenting the current value of the metric.
update_op: An operation that accumulates the error from a batch of data.
Noneand its shape doesn't match
values, or if either
updates_collectionsare not a list or tuple.