com.google.cloud.automl.v1

Interface TextExtractionEvaluationMetricsOrBuilder

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

TextExtractionEvaluationMetrics, TextExtractionEvaluationMetrics.Builder

public interface TextExtractionEvaluationMetricsOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
float	getAuPrc() Output only.
TextExtractionEvaluationMetrics.ConfidenceMetricsEntry	getConfidenceMetricsEntries(int index) Output only.
int	getConfidenceMetricsEntriesCount() Output only.
List<TextExtractionEvaluationMetrics.ConfidenceMetricsEntry>	getConfidenceMetricsEntriesList() Output only.
TextExtractionEvaluationMetrics.ConfidenceMetricsEntryOrBuilder	getConfidenceMetricsEntriesOrBuilder(int index) Output only.
List<? extends TextExtractionEvaluationMetrics.ConfidenceMetricsEntryOrBuilder>	getConfidenceMetricsEntriesOrBuilderList() Output only.

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

getAuPrc

float getAuPrc()

 Output only. The Area under precision recall curve metric.
 

float au_prc = 1;

Returns:

The auPrc.

getConfidenceMetricsEntriesList

List<TextExtractionEvaluationMetrics.ConfidenceMetricsEntry> getConfidenceMetricsEntriesList()

 Output only. Metrics that have confidence thresholds.
 Precision-recall curve can be derived from it.
 

repeated .google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;

getConfidenceMetricsEntries

TextExtractionEvaluationMetrics.ConfidenceMetricsEntry getConfidenceMetricsEntries(int index)

 Output only. Metrics that have confidence thresholds.
 Precision-recall curve can be derived from it.
 

repeated .google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;

getConfidenceMetricsEntriesCount

int getConfidenceMetricsEntriesCount()

 Output only. Metrics that have confidence thresholds.
 Precision-recall curve can be derived from it.
 

repeated .google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;

getConfidenceMetricsEntriesOrBuilderList

List<? extends TextExtractionEvaluationMetrics.ConfidenceMetricsEntryOrBuilder> getConfidenceMetricsEntriesOrBuilderList()

 Output only. Metrics that have confidence thresholds.
 Precision-recall curve can be derived from it.
 

repeated .google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;

getConfidenceMetricsEntriesOrBuilder

TextExtractionEvaluationMetrics.ConfidenceMetricsEntryOrBuilder getConfidenceMetricsEntriesOrBuilder(int index)

 Output only. Metrics that have confidence thresholds.
 Precision-recall curve can be derived from it.
 

repeated .google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;