Uses of Class
com.google.api.services.language.v2.model.XPSTextExtractionEvaluationMetrics

Packages that use XPSTextExtractionEvaluationMetrics

Package	Description
com.google.api.services.language.v2.model

Uses of XPSTextExtractionEvaluationMetrics in com.google.api.services.language.v2.model

Methods in com.google.api.services.language.v2.model that return XPSTextExtractionEvaluationMetrics

Modifier and Type	Method and Description
XPSTextExtractionEvaluationMetrics	XPSTextExtractionEvaluationMetrics.clone()
XPSTextExtractionEvaluationMetrics	XPSEvaluationMetrics.getTextExtractionEvalMetrics()
XPSTextExtractionEvaluationMetrics	XPSTextExtractionEvaluationMetrics.set(String fieldName, Object value)
XPSTextExtractionEvaluationMetrics	XPSTextExtractionEvaluationMetrics.setBestF1ConfidenceMetrics(XPSConfidenceMetricsEntry bestF1ConfidenceMetrics) Values are at the highest F1 score on the precision-recall curve.
XPSTextExtractionEvaluationMetrics	XPSTextExtractionEvaluationMetrics.setConfidenceMetricsEntries(List<XPSConfidenceMetricsEntry> confidenceMetricsEntries) If the enclosing EvaluationMetrics.label is empty, confidence_metrics_entries is an evaluation of the entire model across all labels.
XPSTextExtractionEvaluationMetrics	XPSTextExtractionEvaluationMetrics.setConfusionMatrix(XPSConfusionMatrix confusionMatrix) Confusion matrix of the model, at the default confidence threshold (0.0).
XPSTextExtractionEvaluationMetrics	XPSTextExtractionEvaluationMetrics.setPerLabelConfidenceMetrics(Map<String,XPSConfidenceMetricsEntry> perLabelConfidenceMetrics) Only recall, precision, and f1_score will be set.

Methods in com.google.api.services.language.v2.model with parameters of type XPSTextExtractionEvaluationMetrics

Modifier and Type	Method and Description
XPSEvaluationMetrics	XPSEvaluationMetrics.setTextExtractionEvalMetrics(XPSTextExtractionEvaluationMetrics textExtractionEvalMetrics)