Class TextExtractionEvaluationMetrics (2.13.4)

Version 2.13.4

• 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

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

Model evaluation metrics for text extraction problems.

Attributes
Name	Description
au_prc	float Output only. The Area under precision recall curve metric.
confidence_metrics_entries	MutableSequence[google.cloud.automl_v1.types.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry] Output only. Metrics that have confidence thresholds. Precision-recall curve can be derived from it.

Classes

ConfidenceMetricsEntry

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

Metrics for a single confidence threshold.