Class ConfusionMatrix (2.23.3)

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

Confusion matrix for multi-class classification models. .. attribute:: confidence_threshold

Confidence threshold used when computing the entries of the confusion matrix.

:type: google.protobuf.wrappers_pb2.DoubleValue

Attribute

NameDescription
rows Sequence[google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.ConfusionMatrix.Row]
One row per actual label.

Inheritance

builtins.object > proto.message.Message > ConfusionMatrix

Classes

Entry

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

A single entry in the confusion matrix. .. attribute:: predicted_label

The predicted label. For confidence_threshold > 0, we will also add an entry indicating the number of items under the confidence threshold.

:type: str

Row

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

A single row in the confusion matrix. .. attribute:: actual_label

The original label of this row.

:type: str

Methods

__delattr__

__delattr__(key)

Delete the value on the given field.

This is generally equivalent to setting a falsy value.

__eq__

__eq__(other)

Return True if the messages are equal, False otherwise.

__ne__

__ne__(other)

Return True if the messages are unequal, False otherwise.

__setattr__

__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.