If weights is None, weights default to 1. Use weights of 0 to mask values.
Args
predictions
The predicted values, a Tensor of arbitrary dimensions. Will
be cast to bool.
labels
The ground truth values, a Tensor whose dimensions must match
predictions. Will be cast to bool.
weights
Optional 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 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.
Returns
value_tensor
A Tensor representing the current value of the metric.
update_op
An operation that accumulates the error from a batch of data.
Raises
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.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[]]