Class EvaluationClassificationMetric (1.31.1)

Version 1.31.1

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EvaluationClassificationMetric(
    label_name: typing.Optional[str] = None,
    auPrc: typing.Optional[float] = None,
    auRoc: typing.Optional[float] = None,
    logLoss: typing.Optional[float] = None,
    confidenceMetrics: typing.Optional[
        typing.List[typing.Dict[str, typing.Any]]
    ] = None,
    confusionMatrix: typing.Optional[typing.Dict[str, typing.Any]] = None,
)

The evaluation metric response for classification metrics.

Parameters
Name	Description
label_name	str Optional. The name of the label associated with the metrics. This is only returned when only_summary_metrics=False is passed to evaluate().
auPrc	float Optional. The area under the precision recall curve.
auRoc	float Optional. The area under the receiver operating characteristic curve.
logLoss	float Optional. Logarithmic loss.
confidenceMetrics	List[Dict[str, Any]] Optional. This is only returned when only_summary_metrics=False is passed to evaluate().
confusionMatrix	Dict[str, Any] Optional. This is only returned when only_summary_metrics=False is passed to evaluate().

Properties

input_dataset_paths

The Google Cloud Storage paths to the dataset used for this evaluation.

task_name

The type of evaluation task for the evaluation..