Class MultiConfidenceMetrics (2.3.0)

Version 2.3.0

• 3.0.1 (latest)
• 3.0.0
• 2.35.0
• 2.34.0
• 2.33.0
• 2.32.0
• 2.30.0
• 2.29.3
• 2.28.0
• 2.27.1
• 2.26.0
• 2.25.0
• 2.24.2
• 2.23.0
• 2.22.0
• 2.21.1
• 2.20.2
• 2.19.0
• 2.18.0
• 2.17.0
• 2.16.1
• 2.15.0
• 2.14.0
• 2.13.0
• 2.12.0
• 2.11.0
• 2.10.0
• 2.9.1
• 2.8.0
• 2.7.0
• 2.6.0
• 2.5.0
• 2.4.1
• 2.3.0
• 2.2.0
• 2.1.0
• 2.0.3
• 1.5.1
• 1.4.2
• 1.3.0
• 1.2.1
• 1.1.0
• 1.0.0
• 0.5.2
• 0.4.0
• 0.3.0
• 0.2.0
• 0.1.0

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

MetricsType(value)

A type that determines how metrics should be interpreted.