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PROTO library for proto-google-cloud-automl-v1beta1
/*
* Copyright 2024 Google LLC
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* https://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: google/cloud/automl/v1beta1/text_extraction.proto
// Protobuf Java Version: 3.25.5
package com.google.cloud.automl.v1beta1;
public interface TextExtractionEvaluationMetricsOrBuilder
extends
// @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics)
com.google.protobuf.MessageOrBuilder {
/**
*
*
*
* Output only. The Area under precision recall curve metric.
*
*
* float au_prc = 1;
*
* @return The auPrc.
*/
float getAuPrc();
/**
*
*
*
* Output only. Metrics that have confidence thresholds.
* Precision-recall curve can be derived from it.
*
*
*
* repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;
*
*/
java.util.List<
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry>
getConfidenceMetricsEntriesList();
/**
*
*
*
* Output only. Metrics that have confidence thresholds.
* Precision-recall curve can be derived from it.
*
*
*
* repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;
*
*/
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry
getConfidenceMetricsEntries(int index);
/**
*
*
*
* Output only. Metrics that have confidence thresholds.
* Precision-recall curve can be derived from it.
*
*
*
* repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;
*
*/
int getConfidenceMetricsEntriesCount();
/**
*
*
*
* Output only. Metrics that have confidence thresholds.
* Precision-recall curve can be derived from it.
*
*
*
* repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;
*
*/
java.util.List<
? extends
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntryOrBuilder>
getConfidenceMetricsEntriesOrBuilderList();
/**
*
*
*
* Output only. Metrics that have confidence thresholds.
* Precision-recall curve can be derived from it.
*
*
*
* repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;
*
*/
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntryOrBuilder
getConfidenceMetricsEntriesOrBuilder(int index);
}