Class MultiClassClassificationMetrics (2.1.0)

Version 2.1.0

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

Evaluation metrics for multi-class classification/classifier models.

Attributes

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

Inheritance

builtins.object > proto.message.Message > MultiClassClassificationMetrics

Classes

ConfusionMatrix

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

Confusion matrix for multi-class classification models.

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.