Class MultiConfidenceMetrics (3.0.0)

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

Metrics across multiple confidence levels.

Attributes
Name	Description
`confidence_level_metrics`	`MutableSequence[google.cloud.documentai_v1beta3.types.Evaluation.ConfidenceLevelMetrics]` Metrics across confidence levels with fuzzy matching enabled.
`confidence_level_metrics_exact`	`MutableSequence[google.cloud.documentai_v1beta3.types.Evaluation.ConfidenceLevelMetrics]` Metrics across confidence levels with only exact matching.
`auprc`	`float` The calculated area under the precision recall curve (AUPRC), computed by integrating over all confidence thresholds.
`estimated_calibration_error`	`float` The Estimated Calibration Error (ECE) of the confidence of the predicted entities.
`auprc_exact`	`float` The AUPRC for metrics with fuzzy matching disabled, i.e., exact matching only.
`estimated_calibration_error_exact`	`float` The ECE for the predicted entities with fuzzy matching disabled, i.e., exact matching only.
`metrics_type`	`google.cloud.documentai_v1beta3.types.Evaluation.MultiConfidenceMetrics.MetricsType` The metrics type for the label.

Classes

MetricsType(value)

A type that determines how metrics should be interpreted.