Class TextExtractionEvaluationMetrics (2.4.2)

Version 2.4.2

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

Model evaluation metrics for text extraction problems. .. attribute:: au_prc

Output only. The Area under precision recall curve metric.

:type: float

Attribute

Name	Description
confidence_metrics_entries	Sequence[google.cloud.automl_v1beta1.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. .. attribute:: confidence_threshold

Output only. The confidence threshold value used to compute the metrics. Only annotations with score of at least this threshold are considered to be ones the model would return.

:type: float