Uses of Class
com.google.cloud.documentai.v1.Evaluation.MultiConfidenceMetrics.Builder

Uses of Evaluation.MultiConfidenceMetrics.Builder in com.google.cloud.documentai.v1

Methods in com.google.cloud.documentai.v1 that return Evaluation.MultiConfidenceMetrics.Builder

Modifier and Type	Method	Description
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.Builder.addAllConfidenceLevelMetrics(Iterable<? extends Evaluation.ConfidenceLevelMetrics> values)	Metrics across confidence levels with fuzzy matching enabled.
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.Builder.addAllConfidenceLevelMetricsExact(Iterable<? extends Evaluation.ConfidenceLevelMetrics> values)	Metrics across confidence levels with only exact matching.
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.Builder.addConfidenceLevelMetrics(int index, Evaluation.ConfidenceLevelMetrics value)	Metrics across confidence levels with fuzzy matching enabled.
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.Builder.addConfidenceLevelMetrics(int index, Evaluation.ConfidenceLevelMetrics.Builder builderForValue)	Metrics across confidence levels with fuzzy matching enabled.
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.Builder.addConfidenceLevelMetrics(Evaluation.ConfidenceLevelMetrics value)	Metrics across confidence levels with fuzzy matching enabled.
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.Builder.addConfidenceLevelMetrics(Evaluation.ConfidenceLevelMetrics.Builder builderForValue)	Metrics across confidence levels with fuzzy matching enabled.
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.Builder.addConfidenceLevelMetricsExact(int index, Evaluation.ConfidenceLevelMetrics value)	Metrics across confidence levels with only exact matching.
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.Builder.addConfidenceLevelMetricsExact(int index, Evaluation.ConfidenceLevelMetrics.Builder builderForValue)	Metrics across confidence levels with only exact matching.
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.Builder.addConfidenceLevelMetricsExact(Evaluation.ConfidenceLevelMetrics value)	Metrics across confidence levels with only exact matching.
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.Builder.addConfidenceLevelMetricsExact(Evaluation.ConfidenceLevelMetrics.Builder builderForValue)	Metrics across confidence levels with only exact matching.
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.Builder.clear()
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.Builder.clearAuprc()	The calculated area under the precision recall curve (AUPRC), computed by integrating over all confidence thresholds.
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.Builder.clearAuprcExact()	The AUPRC for metrics with fuzzy matching disabled, i.e., exact matching only.
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.Builder.clearConfidenceLevelMetrics()	Metrics across confidence levels with fuzzy matching enabled.
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.Builder.clearConfidenceLevelMetricsExact()	Metrics across confidence levels with only exact matching.
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.Builder.clearEstimatedCalibrationError()	The Estimated Calibration Error (ECE) of the confidence of the predicted entities.
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.Builder.clearEstimatedCalibrationErrorExact()	The ECE for the predicted entities with fuzzy matching disabled, i.e., exact matching only.
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.Builder.clearMetricsType()	The metrics type for the label.
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.Builder.getAllEntitiesMetricsBuilder()	Metrics for all the entities in aggregate.
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.Builder.mergeFrom(Evaluation.MultiConfidenceMetrics other)
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.Builder.mergeFrom(com.google.protobuf.Message other)
static Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.newBuilder()
static Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.newBuilder(Evaluation.MultiConfidenceMetrics prototype)
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.newBuilderForType()
protected Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.newBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent)
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.Builder.putEntityMetricsBuilderIfAbsent(String key)	Metrics across confidence levels, for different entities.
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.Builder.removeConfidenceLevelMetrics(int index)	Metrics across confidence levels with fuzzy matching enabled.
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.Builder.removeConfidenceLevelMetricsExact(int index)	Metrics across confidence levels with only exact matching.
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.Builder.setAuprc(float value)	The calculated area under the precision recall curve (AUPRC), computed by integrating over all confidence thresholds.
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.Builder.setAuprcExact(float value)	The AUPRC for metrics with fuzzy matching disabled, i.e., exact matching only.
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.Builder.setConfidenceLevelMetrics(int index, Evaluation.ConfidenceLevelMetrics value)	Metrics across confidence levels with fuzzy matching enabled.
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.Builder.setConfidenceLevelMetrics(int index, Evaluation.ConfidenceLevelMetrics.Builder builderForValue)	Metrics across confidence levels with fuzzy matching enabled.
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.Builder.setConfidenceLevelMetricsExact(int index, Evaluation.ConfidenceLevelMetrics value)	Metrics across confidence levels with only exact matching.
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.Builder.setConfidenceLevelMetricsExact(int index, Evaluation.ConfidenceLevelMetrics.Builder builderForValue)	Metrics across confidence levels with only exact matching.
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.Builder.setEstimatedCalibrationError(float value)	The Estimated Calibration Error (ECE) of the confidence of the predicted entities.
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.Builder.setEstimatedCalibrationErrorExact(float value)	The ECE for the predicted entities with fuzzy matching disabled, i.e., exact matching only.
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.Builder.setMetricsType(Evaluation.MultiConfidenceMetrics.MetricsType value)	The metrics type for the label.
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.Builder.setMetricsTypeValue(int value)	The metrics type for the label.
Evaluation.MultiConfidenceMetrics.Builder	Evaluation.MultiConfidenceMetrics.toBuilder()

Methods in com.google.cloud.documentai.v1 with parameters of type Evaluation.MultiConfidenceMetrics.Builder

Modifier and Type	Method	Description
Evaluation.Builder	Evaluation.Builder.setAllEntitiesMetrics(Evaluation.MultiConfidenceMetrics.Builder builderForValue)	Metrics for all the entities in aggregate.