Have a question? Connect with the community at the TensorFlow Forum Visit Forum

tf.contrib.metrics.streaming_percentage_less

View source on GitHub

Computes the percentage of values less than the given threshold.

The streaming_percentage_less function creates two local variables, total and count that are used to compute the percentage of values that fall below threshold. This rate is weighted by weights, and it is ultimately returned as percentage which is an idempotent operation that simply divides total by count.

For estimation of the metric over a stream of data, the function creates an update_op operation that updates these variables and returns the percentage.

If weights is None, weights default to 1. Use weights of 0 to mask values.

values A numeric Tensor of arbitrary size.
threshold A scalar threshold.
weights An optional Tensor whose shape is broadcastable to values.
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.

percentage A Tensor representing the current mean, the value of total divided by count.
update_op An operation that increments the total and count variables appropriately.

ValueError If weights is not None and its shape doesn't match values, or if either metrics_collections or updates_collections are not a list or tuple.