Class MultiConfidenceMetrics (2.3.0)

Version 2.3.0

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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

MetricsType(value)

A type that determines how metrics should be interpreted.