Class ConfusionMatrix (3.25.0)

ConfusionMatrix(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Confusion matrix for multi-class classification models.


Name Description
confidence_threshold google.protobuf.wrappers_pb2.DoubleValue
Confidence threshold used when computing the entries of the confusion matrix.
rows Sequence[]
One row per actual label.



Entry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A single entry in the confusion matrix.


Row(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A single row in the confusion matrix.




Delete the value on the given field.

This is generally equivalent to setting a falsy value.



Return True if the messages are equal, False otherwise.



Return True if the messages are unequal, False otherwise.


__setattr__(key, value)

Set the value on the given field.

For well-known protocol buffer types which are marshalled, either the protocol buffer object or the Python equivalent is accepted.