Class ConfusionMatrix (2.8.1)

Version 2.8.1

• 2.14.1 (latest)
• 2.14.0
• 2.13.5
• 2.12.0
• 2.11.4
• 2.10.1
• 2.9.0
• 2.8.3
• 2.7.3
• 2.6.0
• 2.5.2
• 2.4.2
• 2.3.0
• 2.2.0
• 2.1.0
• 2.0.0
• 1.0.3
• 0.10.0
• 0.9.0
• 0.8.0
• 0.7.1
• 0.6.0
• 0.5.0
• 0.4.0

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

Confusion matrix of the model running the classification.

Attributes

Name	Description
annotation_spec_id	Sequence[str] Output only. IDs of the annotation specs used in the confusion matrix. For Tables CLASSIFICATION prediction_type only list of [annotation_spec_display_name-s][] is populated.
display_name	Sequence[str] Output only. Display name of the annotation specs used in the confusion matrix, as they were at the moment of the evaluation. For Tables CLASSIFICATION prediction_type-s, distinct values of the target column at the moment of the model evaluation are populated here.
row	Sequence[google.cloud.automl_v1.types.ClassificationEvaluationMetrics.ConfusionMatrix.Row] Output only. Rows in the confusion matrix. The number of rows is equal to the size of ``annotation_spec_id``. ``row[i].example_count[j]`` is the number of examples that have ground truth of the ``annotation_spec_id[i]`` and are predicted as ``annotation_spec_id[j]`` by the model being evaluated.

Inheritance

builtins.object > proto.message.Message > ConfusionMatrix

Classes

Row

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

Output only. A row in the confusion matrix.