Class MultiClassClassificationMetrics (2.26.0)

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

Evaluation metrics for multi-class classification/classifier models.

Attributes

Name	Description
aggregate_classification_metrics	`google.cloud.bigquery_v2.types.Model.AggregateClassificationMetrics` Aggregate classification metrics.
confusion_matrix_list	`Sequence[google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.ConfusionMatrix]` Confusion matrix at different thresholds.

builtins.object > proto.message.Message > MultiClassClassificationMetrics

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

__delattr__(key)

Delete the value on the given field.

This is generally equivalent to setting a falsy value.

__eq__(other)

Return True if the messages are equal, False otherwise.

__ne__(other)

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.