Class TextExtractionEvaluationMetrics (2.4.2)

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

NameDescription
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