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/*
* 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/v1/model_evaluation.proto
// Protobuf Java Version: 3.25.4
package com.google.cloud.automl.v1;
/**
*
*
*
* Evaluation results of a model.
*
*
* Protobuf type {@code google.cloud.automl.v1.ModelEvaluation}
*/
public final class ModelEvaluation extends com.google.protobuf.GeneratedMessageV3
implements
// @@protoc_insertion_point(message_implements:google.cloud.automl.v1.ModelEvaluation)
ModelEvaluationOrBuilder {
private static final long serialVersionUID = 0L;
// Use ModelEvaluation.newBuilder() to construct.
private ModelEvaluation(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private ModelEvaluation() {
name_ = "";
annotationSpecId_ = "";
displayName_ = "";
}
@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
return new ModelEvaluation();
}
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
return com.google.cloud.automl.v1.ModelEvaluationOuterClass
.internal_static_google_cloud_automl_v1_ModelEvaluation_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return com.google.cloud.automl.v1.ModelEvaluationOuterClass
.internal_static_google_cloud_automl_v1_ModelEvaluation_fieldAccessorTable
.ensureFieldAccessorsInitialized(
com.google.cloud.automl.v1.ModelEvaluation.class,
com.google.cloud.automl.v1.ModelEvaluation.Builder.class);
}
private int bitField0_;
private int metricsCase_ = 0;
@SuppressWarnings("serial")
private java.lang.Object metrics_;
public enum MetricsCase
implements
com.google.protobuf.Internal.EnumLite,
com.google.protobuf.AbstractMessage.InternalOneOfEnum {
CLASSIFICATION_EVALUATION_METRICS(8),
TRANSLATION_EVALUATION_METRICS(9),
IMAGE_OBJECT_DETECTION_EVALUATION_METRICS(12),
TEXT_SENTIMENT_EVALUATION_METRICS(11),
TEXT_EXTRACTION_EVALUATION_METRICS(13),
METRICS_NOT_SET(0);
private final int value;
private MetricsCase(int value) {
this.value = value;
}
/**
* @param value The number of the enum to look for.
* @return The enum associated with the given number.
* @deprecated Use {@link #forNumber(int)} instead.
*/
@java.lang.Deprecated
public static MetricsCase valueOf(int value) {
return forNumber(value);
}
public static MetricsCase forNumber(int value) {
switch (value) {
case 8:
return CLASSIFICATION_EVALUATION_METRICS;
case 9:
return TRANSLATION_EVALUATION_METRICS;
case 12:
return IMAGE_OBJECT_DETECTION_EVALUATION_METRICS;
case 11:
return TEXT_SENTIMENT_EVALUATION_METRICS;
case 13:
return TEXT_EXTRACTION_EVALUATION_METRICS;
case 0:
return METRICS_NOT_SET;
default:
return null;
}
}
public int getNumber() {
return this.value;
}
};
public MetricsCase getMetricsCase() {
return MetricsCase.forNumber(metricsCase_);
}
public static final int CLASSIFICATION_EVALUATION_METRICS_FIELD_NUMBER = 8;
/**
*
*
*
* Model evaluation metrics for image, text, video and tables
* classification.
* Tables problem is considered a classification when the target column
* is CATEGORY DataType.
*
*
*
* .google.cloud.automl.v1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
*
*
* @return Whether the classificationEvaluationMetrics field is set.
*/
@java.lang.Override
public boolean hasClassificationEvaluationMetrics() {
return metricsCase_ == 8;
}
/**
*
*
*
* Model evaluation metrics for image, text, video and tables
* classification.
* Tables problem is considered a classification when the target column
* is CATEGORY DataType.
*
*
*
* .google.cloud.automl.v1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
*
*
* @return The classificationEvaluationMetrics.
*/
@java.lang.Override
public com.google.cloud.automl.v1.ClassificationEvaluationMetrics
getClassificationEvaluationMetrics() {
if (metricsCase_ == 8) {
return (com.google.cloud.automl.v1.ClassificationEvaluationMetrics) metrics_;
}
return com.google.cloud.automl.v1.ClassificationEvaluationMetrics.getDefaultInstance();
}
/**
*
*
*
* Model evaluation metrics for image, text, video and tables
* classification.
* Tables problem is considered a classification when the target column
* is CATEGORY DataType.
*
*
*
* .google.cloud.automl.v1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
*
*/
@java.lang.Override
public com.google.cloud.automl.v1.ClassificationEvaluationMetricsOrBuilder
getClassificationEvaluationMetricsOrBuilder() {
if (metricsCase_ == 8) {
return (com.google.cloud.automl.v1.ClassificationEvaluationMetrics) metrics_;
}
return com.google.cloud.automl.v1.ClassificationEvaluationMetrics.getDefaultInstance();
}
public static final int TRANSLATION_EVALUATION_METRICS_FIELD_NUMBER = 9;
/**
*
*
*
* Model evaluation metrics for translation.
*
*
* .google.cloud.automl.v1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
*
*
* @return Whether the translationEvaluationMetrics field is set.
*/
@java.lang.Override
public boolean hasTranslationEvaluationMetrics() {
return metricsCase_ == 9;
}
/**
*
*
*
* Model evaluation metrics for translation.
*
*
* .google.cloud.automl.v1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
*
*
* @return The translationEvaluationMetrics.
*/
@java.lang.Override
public com.google.cloud.automl.v1.TranslationEvaluationMetrics getTranslationEvaluationMetrics() {
if (metricsCase_ == 9) {
return (com.google.cloud.automl.v1.TranslationEvaluationMetrics) metrics_;
}
return com.google.cloud.automl.v1.TranslationEvaluationMetrics.getDefaultInstance();
}
/**
*
*
*
* Model evaluation metrics for translation.
*
*
* .google.cloud.automl.v1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
*
*/
@java.lang.Override
public com.google.cloud.automl.v1.TranslationEvaluationMetricsOrBuilder
getTranslationEvaluationMetricsOrBuilder() {
if (metricsCase_ == 9) {
return (com.google.cloud.automl.v1.TranslationEvaluationMetrics) metrics_;
}
return com.google.cloud.automl.v1.TranslationEvaluationMetrics.getDefaultInstance();
}
public static final int IMAGE_OBJECT_DETECTION_EVALUATION_METRICS_FIELD_NUMBER = 12;
/**
*
*
*
* Model evaluation metrics for image object detection.
*
*
*
* .google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
*
*
* @return Whether the imageObjectDetectionEvaluationMetrics field is set.
*/
@java.lang.Override
public boolean hasImageObjectDetectionEvaluationMetrics() {
return metricsCase_ == 12;
}
/**
*
*
*
* Model evaluation metrics for image object detection.
*
*
*
* .google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
*
*
* @return The imageObjectDetectionEvaluationMetrics.
*/
@java.lang.Override
public com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics
getImageObjectDetectionEvaluationMetrics() {
if (metricsCase_ == 12) {
return (com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics) metrics_;
}
return com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics.getDefaultInstance();
}
/**
*
*
*
* Model evaluation metrics for image object detection.
*
*
*
* .google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
*
*/
@java.lang.Override
public com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetricsOrBuilder
getImageObjectDetectionEvaluationMetricsOrBuilder() {
if (metricsCase_ == 12) {
return (com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics) metrics_;
}
return com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics.getDefaultInstance();
}
public static final int TEXT_SENTIMENT_EVALUATION_METRICS_FIELD_NUMBER = 11;
/**
*
*
*
* Evaluation metrics for text sentiment models.
*
*
*
* .google.cloud.automl.v1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
*
*
* @return Whether the textSentimentEvaluationMetrics field is set.
*/
@java.lang.Override
public boolean hasTextSentimentEvaluationMetrics() {
return metricsCase_ == 11;
}
/**
*
*
*
* Evaluation metrics for text sentiment models.
*
*
*
* .google.cloud.automl.v1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
*
*
* @return The textSentimentEvaluationMetrics.
*/
@java.lang.Override
public com.google.cloud.automl.v1.TextSentimentEvaluationMetrics
getTextSentimentEvaluationMetrics() {
if (metricsCase_ == 11) {
return (com.google.cloud.automl.v1.TextSentimentEvaluationMetrics) metrics_;
}
return com.google.cloud.automl.v1.TextSentimentEvaluationMetrics.getDefaultInstance();
}
/**
*
*
*
* Evaluation metrics for text sentiment models.
*
*
*
* .google.cloud.automl.v1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
*
*/
@java.lang.Override
public com.google.cloud.automl.v1.TextSentimentEvaluationMetricsOrBuilder
getTextSentimentEvaluationMetricsOrBuilder() {
if (metricsCase_ == 11) {
return (com.google.cloud.automl.v1.TextSentimentEvaluationMetrics) metrics_;
}
return com.google.cloud.automl.v1.TextSentimentEvaluationMetrics.getDefaultInstance();
}
public static final int TEXT_EXTRACTION_EVALUATION_METRICS_FIELD_NUMBER = 13;
/**
*
*
*
* Evaluation metrics for text extraction models.
*
*
*
* .google.cloud.automl.v1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
*
*
* @return Whether the textExtractionEvaluationMetrics field is set.
*/
@java.lang.Override
public boolean hasTextExtractionEvaluationMetrics() {
return metricsCase_ == 13;
}
/**
*
*
*
* Evaluation metrics for text extraction models.
*
*
*
* .google.cloud.automl.v1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
*
*
* @return The textExtractionEvaluationMetrics.
*/
@java.lang.Override
public com.google.cloud.automl.v1.TextExtractionEvaluationMetrics
getTextExtractionEvaluationMetrics() {
if (metricsCase_ == 13) {
return (com.google.cloud.automl.v1.TextExtractionEvaluationMetrics) metrics_;
}
return com.google.cloud.automl.v1.TextExtractionEvaluationMetrics.getDefaultInstance();
}
/**
*
*
*
* Evaluation metrics for text extraction models.
*
*
*
* .google.cloud.automl.v1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
*
*/
@java.lang.Override
public com.google.cloud.automl.v1.TextExtractionEvaluationMetricsOrBuilder
getTextExtractionEvaluationMetricsOrBuilder() {
if (metricsCase_ == 13) {
return (com.google.cloud.automl.v1.TextExtractionEvaluationMetrics) metrics_;
}
return com.google.cloud.automl.v1.TextExtractionEvaluationMetrics.getDefaultInstance();
}
public static final int NAME_FIELD_NUMBER = 1;
@SuppressWarnings("serial")
private volatile java.lang.Object name_ = "";
/**
*
*
*
* Output only. Resource name of the model evaluation.
* Format:
* `projects/{project_id}/locations/{location_id}/models/{model_id}/modelEvaluations/{model_evaluation_id}`
*
*
* string name = 1;
*
* @return The name.
*/
@java.lang.Override
public java.lang.String getName() {
java.lang.Object ref = name_;
if (ref instanceof java.lang.String) {
return (java.lang.String) ref;
} else {
com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
name_ = s;
return s;
}
}
/**
*
*
*
* Output only. Resource name of the model evaluation.
* Format:
* `projects/{project_id}/locations/{location_id}/models/{model_id}/modelEvaluations/{model_evaluation_id}`
*
*
* string name = 1;
*
* @return The bytes for name.
*/
@java.lang.Override
public com.google.protobuf.ByteString getNameBytes() {
java.lang.Object ref = name_;
if (ref instanceof java.lang.String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
name_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
public static final int ANNOTATION_SPEC_ID_FIELD_NUMBER = 2;
@SuppressWarnings("serial")
private volatile java.lang.Object annotationSpecId_ = "";
/**
*
*
*
* Output only. The ID of the annotation spec that the model evaluation applies to. The
* The ID is empty for the overall model evaluation.
* For Tables annotation specs in the dataset do not exist and this ID is
* always not set, but for CLASSIFICATION
* [prediction_type-s][google.cloud.automl.v1.TablesModelMetadata.prediction_type]
* the
* [display_name][google.cloud.automl.v1.ModelEvaluation.display_name]
* field is used.
*
*
* string annotation_spec_id = 2;
*
* @return The annotationSpecId.
*/
@java.lang.Override
public java.lang.String getAnnotationSpecId() {
java.lang.Object ref = annotationSpecId_;
if (ref instanceof java.lang.String) {
return (java.lang.String) ref;
} else {
com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
annotationSpecId_ = s;
return s;
}
}
/**
*
*
*
* Output only. The ID of the annotation spec that the model evaluation applies to. The
* The ID is empty for the overall model evaluation.
* For Tables annotation specs in the dataset do not exist and this ID is
* always not set, but for CLASSIFICATION
* [prediction_type-s][google.cloud.automl.v1.TablesModelMetadata.prediction_type]
* the
* [display_name][google.cloud.automl.v1.ModelEvaluation.display_name]
* field is used.
*
*
* string annotation_spec_id = 2;
*
* @return The bytes for annotationSpecId.
*/
@java.lang.Override
public com.google.protobuf.ByteString getAnnotationSpecIdBytes() {
java.lang.Object ref = annotationSpecId_;
if (ref instanceof java.lang.String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
annotationSpecId_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
public static final int DISPLAY_NAME_FIELD_NUMBER = 15;
@SuppressWarnings("serial")
private volatile java.lang.Object displayName_ = "";
/**
*
*
*
* Output only. The value of
* [display_name][google.cloud.automl.v1.AnnotationSpec.display_name]
* at the moment when the model was trained. Because this field returns a
* value at model training time, for different models trained from the same
* dataset, the values may differ, since display names could had been changed
* between the two model's trainings. For Tables CLASSIFICATION
* [prediction_type-s][google.cloud.automl.v1.TablesModelMetadata.prediction_type]
* distinct values of the target column at the moment of the model evaluation
* are populated here.
* The display_name is empty for the overall model evaluation.
*
*
* string display_name = 15;
*
* @return The displayName.
*/
@java.lang.Override
public java.lang.String getDisplayName() {
java.lang.Object ref = displayName_;
if (ref instanceof java.lang.String) {
return (java.lang.String) ref;
} else {
com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
displayName_ = s;
return s;
}
}
/**
*
*
*
* Output only. The value of
* [display_name][google.cloud.automl.v1.AnnotationSpec.display_name]
* at the moment when the model was trained. Because this field returns a
* value at model training time, for different models trained from the same
* dataset, the values may differ, since display names could had been changed
* between the two model's trainings. For Tables CLASSIFICATION
* [prediction_type-s][google.cloud.automl.v1.TablesModelMetadata.prediction_type]
* distinct values of the target column at the moment of the model evaluation
* are populated here.
* The display_name is empty for the overall model evaluation.
*
*
* string display_name = 15;
*
* @return The bytes for displayName.
*/
@java.lang.Override
public com.google.protobuf.ByteString getDisplayNameBytes() {
java.lang.Object ref = displayName_;
if (ref instanceof java.lang.String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
displayName_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
public static final int CREATE_TIME_FIELD_NUMBER = 5;
private com.google.protobuf.Timestamp createTime_;
/**
*
*
*
* Output only. Timestamp when this model evaluation was created.
*
*
* .google.protobuf.Timestamp create_time = 5;
*
* @return Whether the createTime field is set.
*/
@java.lang.Override
public boolean hasCreateTime() {
return ((bitField0_ & 0x00000001) != 0);
}
/**
*
*
*
* Output only. Timestamp when this model evaluation was created.
*
*
* .google.protobuf.Timestamp create_time = 5;
*
* @return The createTime.
*/
@java.lang.Override
public com.google.protobuf.Timestamp getCreateTime() {
return createTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : createTime_;
}
/**
*
*
*
* Output only. Timestamp when this model evaluation was created.
*
*
* .google.protobuf.Timestamp create_time = 5;
*/
@java.lang.Override
public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
return createTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : createTime_;
}
public static final int EVALUATED_EXAMPLE_COUNT_FIELD_NUMBER = 6;
private int evaluatedExampleCount_ = 0;
/**
*
*
*
* Output only. The number of examples used for model evaluation, i.e. for
* which ground truth from time of model creation is compared against the
* predicted annotations created by the model.
* For overall ModelEvaluation (i.e. with annotation_spec_id not set) this is
* the total number of all examples used for evaluation.
* Otherwise, this is the count of examples that according to the ground
* truth were annotated by the
* [annotation_spec_id][google.cloud.automl.v1.ModelEvaluation.annotation_spec_id].
*
*
* int32 evaluated_example_count = 6;
*
* @return The evaluatedExampleCount.
*/
@java.lang.Override
public int getEvaluatedExampleCount() {
return evaluatedExampleCount_;
}
private byte memoizedIsInitialized = -1;
@java.lang.Override
public final boolean isInitialized() {
byte isInitialized = memoizedIsInitialized;
if (isInitialized == 1) return true;
if (isInitialized == 0) return false;
memoizedIsInitialized = 1;
return true;
}
@java.lang.Override
public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(name_)) {
com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
}
if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(annotationSpecId_)) {
com.google.protobuf.GeneratedMessageV3.writeString(output, 2, annotationSpecId_);
}
if (((bitField0_ & 0x00000001) != 0)) {
output.writeMessage(5, getCreateTime());
}
if (evaluatedExampleCount_ != 0) {
output.writeInt32(6, evaluatedExampleCount_);
}
if (metricsCase_ == 8) {
output.writeMessage(8, (com.google.cloud.automl.v1.ClassificationEvaluationMetrics) metrics_);
}
if (metricsCase_ == 9) {
output.writeMessage(9, (com.google.cloud.automl.v1.TranslationEvaluationMetrics) metrics_);
}
if (metricsCase_ == 11) {
output.writeMessage(11, (com.google.cloud.automl.v1.TextSentimentEvaluationMetrics) metrics_);
}
if (metricsCase_ == 12) {
output.writeMessage(
12, (com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics) metrics_);
}
if (metricsCase_ == 13) {
output.writeMessage(
13, (com.google.cloud.automl.v1.TextExtractionEvaluationMetrics) metrics_);
}
if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(displayName_)) {
com.google.protobuf.GeneratedMessageV3.writeString(output, 15, displayName_);
}
getUnknownFields().writeTo(output);
}
@java.lang.Override
public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(name_)) {
size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
}
if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(annotationSpecId_)) {
size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, annotationSpecId_);
}
if (((bitField0_ & 0x00000001) != 0)) {
size += com.google.protobuf.CodedOutputStream.computeMessageSize(5, getCreateTime());
}
if (evaluatedExampleCount_ != 0) {
size += com.google.protobuf.CodedOutputStream.computeInt32Size(6, evaluatedExampleCount_);
}
if (metricsCase_ == 8) {
size +=
com.google.protobuf.CodedOutputStream.computeMessageSize(
8, (com.google.cloud.automl.v1.ClassificationEvaluationMetrics) metrics_);
}
if (metricsCase_ == 9) {
size +=
com.google.protobuf.CodedOutputStream.computeMessageSize(
9, (com.google.cloud.automl.v1.TranslationEvaluationMetrics) metrics_);
}
if (metricsCase_ == 11) {
size +=
com.google.protobuf.CodedOutputStream.computeMessageSize(
11, (com.google.cloud.automl.v1.TextSentimentEvaluationMetrics) metrics_);
}
if (metricsCase_ == 12) {
size +=
com.google.protobuf.CodedOutputStream.computeMessageSize(
12, (com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics) metrics_);
}
if (metricsCase_ == 13) {
size +=
com.google.protobuf.CodedOutputStream.computeMessageSize(
13, (com.google.cloud.automl.v1.TextExtractionEvaluationMetrics) metrics_);
}
if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(displayName_)) {
size += com.google.protobuf.GeneratedMessageV3.computeStringSize(15, displayName_);
}
size += getUnknownFields().getSerializedSize();
memoizedSize = size;
return size;
}
@java.lang.Override
public boolean equals(final java.lang.Object obj) {
if (obj == this) {
return true;
}
if (!(obj instanceof com.google.cloud.automl.v1.ModelEvaluation)) {
return super.equals(obj);
}
com.google.cloud.automl.v1.ModelEvaluation other =
(com.google.cloud.automl.v1.ModelEvaluation) obj;
if (!getName().equals(other.getName())) return false;
if (!getAnnotationSpecId().equals(other.getAnnotationSpecId())) return false;
if (!getDisplayName().equals(other.getDisplayName())) return false;
if (hasCreateTime() != other.hasCreateTime()) return false;
if (hasCreateTime()) {
if (!getCreateTime().equals(other.getCreateTime())) return false;
}
if (getEvaluatedExampleCount() != other.getEvaluatedExampleCount()) return false;
if (!getMetricsCase().equals(other.getMetricsCase())) return false;
switch (metricsCase_) {
case 8:
if (!getClassificationEvaluationMetrics()
.equals(other.getClassificationEvaluationMetrics())) return false;
break;
case 9:
if (!getTranslationEvaluationMetrics().equals(other.getTranslationEvaluationMetrics()))
return false;
break;
case 12:
if (!getImageObjectDetectionEvaluationMetrics()
.equals(other.getImageObjectDetectionEvaluationMetrics())) return false;
break;
case 11:
if (!getTextSentimentEvaluationMetrics().equals(other.getTextSentimentEvaluationMetrics()))
return false;
break;
case 13:
if (!getTextExtractionEvaluationMetrics()
.equals(other.getTextExtractionEvaluationMetrics())) return false;
break;
case 0:
default:
}
if (!getUnknownFields().equals(other.getUnknownFields())) return false;
return true;
}
@java.lang.Override
public int hashCode() {
if (memoizedHashCode != 0) {
return memoizedHashCode;
}
int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
hash = (37 * hash) + NAME_FIELD_NUMBER;
hash = (53 * hash) + getName().hashCode();
hash = (37 * hash) + ANNOTATION_SPEC_ID_FIELD_NUMBER;
hash = (53 * hash) + getAnnotationSpecId().hashCode();
hash = (37 * hash) + DISPLAY_NAME_FIELD_NUMBER;
hash = (53 * hash) + getDisplayName().hashCode();
if (hasCreateTime()) {
hash = (37 * hash) + CREATE_TIME_FIELD_NUMBER;
hash = (53 * hash) + getCreateTime().hashCode();
}
hash = (37 * hash) + EVALUATED_EXAMPLE_COUNT_FIELD_NUMBER;
hash = (53 * hash) + getEvaluatedExampleCount();
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/**
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public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
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public Builder mergeFrom(com.google.cloud.automl.v1.ModelEvaluation other) {
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private java.lang.Object metrics_;
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metrics_ = null;
onChanged();
return this;
}
private int bitField0_;
private com.google.protobuf.SingleFieldBuilderV3<
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com.google.cloud.automl.v1.ClassificationEvaluationMetrics.Builder,
com.google.cloud.automl.v1.ClassificationEvaluationMetricsOrBuilder>
classificationEvaluationMetricsBuilder_;
/**
*
*
*
* Model evaluation metrics for image, text, video and tables
* classification.
* Tables problem is considered a classification when the target column
* is CATEGORY DataType.
*
*
*
* .google.cloud.automl.v1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
*
*
* @return Whether the classificationEvaluationMetrics field is set.
*/
@java.lang.Override
public boolean hasClassificationEvaluationMetrics() {
return metricsCase_ == 8;
}
/**
*
*
*
* Model evaluation metrics for image, text, video and tables
* classification.
* Tables problem is considered a classification when the target column
* is CATEGORY DataType.
*
*
*
* .google.cloud.automl.v1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
*
*
* @return The classificationEvaluationMetrics.
*/
@java.lang.Override
public com.google.cloud.automl.v1.ClassificationEvaluationMetrics
getClassificationEvaluationMetrics() {
if (classificationEvaluationMetricsBuilder_ == null) {
if (metricsCase_ == 8) {
return (com.google.cloud.automl.v1.ClassificationEvaluationMetrics) metrics_;
}
return com.google.cloud.automl.v1.ClassificationEvaluationMetrics.getDefaultInstance();
} else {
if (metricsCase_ == 8) {
return classificationEvaluationMetricsBuilder_.getMessage();
}
return com.google.cloud.automl.v1.ClassificationEvaluationMetrics.getDefaultInstance();
}
}
/**
*
*
*
* Model evaluation metrics for image, text, video and tables
* classification.
* Tables problem is considered a classification when the target column
* is CATEGORY DataType.
*
*
*
* .google.cloud.automl.v1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
*
*/
public Builder setClassificationEvaluationMetrics(
com.google.cloud.automl.v1.ClassificationEvaluationMetrics value) {
if (classificationEvaluationMetricsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
metrics_ = value;
onChanged();
} else {
classificationEvaluationMetricsBuilder_.setMessage(value);
}
metricsCase_ = 8;
return this;
}
/**
*
*
*
* Model evaluation metrics for image, text, video and tables
* classification.
* Tables problem is considered a classification when the target column
* is CATEGORY DataType.
*
*
*
* .google.cloud.automl.v1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
*
*/
public Builder setClassificationEvaluationMetrics(
com.google.cloud.automl.v1.ClassificationEvaluationMetrics.Builder builderForValue) {
if (classificationEvaluationMetricsBuilder_ == null) {
metrics_ = builderForValue.build();
onChanged();
} else {
classificationEvaluationMetricsBuilder_.setMessage(builderForValue.build());
}
metricsCase_ = 8;
return this;
}
/**
*
*
*
* Model evaluation metrics for image, text, video and tables
* classification.
* Tables problem is considered a classification when the target column
* is CATEGORY DataType.
*
*
*
* .google.cloud.automl.v1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
*
*/
public Builder mergeClassificationEvaluationMetrics(
com.google.cloud.automl.v1.ClassificationEvaluationMetrics value) {
if (classificationEvaluationMetricsBuilder_ == null) {
if (metricsCase_ == 8
&& metrics_
!= com.google.cloud.automl.v1.ClassificationEvaluationMetrics
.getDefaultInstance()) {
metrics_ =
com.google.cloud.automl.v1.ClassificationEvaluationMetrics.newBuilder(
(com.google.cloud.automl.v1.ClassificationEvaluationMetrics) metrics_)
.mergeFrom(value)
.buildPartial();
} else {
metrics_ = value;
}
onChanged();
} else {
if (metricsCase_ == 8) {
classificationEvaluationMetricsBuilder_.mergeFrom(value);
} else {
classificationEvaluationMetricsBuilder_.setMessage(value);
}
}
metricsCase_ = 8;
return this;
}
/**
*
*
*
* Model evaluation metrics for image, text, video and tables
* classification.
* Tables problem is considered a classification when the target column
* is CATEGORY DataType.
*
*
*
* .google.cloud.automl.v1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
*
*/
public Builder clearClassificationEvaluationMetrics() {
if (classificationEvaluationMetricsBuilder_ == null) {
if (metricsCase_ == 8) {
metricsCase_ = 0;
metrics_ = null;
onChanged();
}
} else {
if (metricsCase_ == 8) {
metricsCase_ = 0;
metrics_ = null;
}
classificationEvaluationMetricsBuilder_.clear();
}
return this;
}
/**
*
*
*
* Model evaluation metrics for image, text, video and tables
* classification.
* Tables problem is considered a classification when the target column
* is CATEGORY DataType.
*
*
*
* .google.cloud.automl.v1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
*
*/
public com.google.cloud.automl.v1.ClassificationEvaluationMetrics.Builder
getClassificationEvaluationMetricsBuilder() {
return getClassificationEvaluationMetricsFieldBuilder().getBuilder();
}
/**
*
*
*
* Model evaluation metrics for image, text, video and tables
* classification.
* Tables problem is considered a classification when the target column
* is CATEGORY DataType.
*
*
*
* .google.cloud.automl.v1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
*
*/
@java.lang.Override
public com.google.cloud.automl.v1.ClassificationEvaluationMetricsOrBuilder
getClassificationEvaluationMetricsOrBuilder() {
if ((metricsCase_ == 8) && (classificationEvaluationMetricsBuilder_ != null)) {
return classificationEvaluationMetricsBuilder_.getMessageOrBuilder();
} else {
if (metricsCase_ == 8) {
return (com.google.cloud.automl.v1.ClassificationEvaluationMetrics) metrics_;
}
return com.google.cloud.automl.v1.ClassificationEvaluationMetrics.getDefaultInstance();
}
}
/**
*
*
*
* Model evaluation metrics for image, text, video and tables
* classification.
* Tables problem is considered a classification when the target column
* is CATEGORY DataType.
*
*
*
* .google.cloud.automl.v1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
*
*/
private com.google.protobuf.SingleFieldBuilderV3<
com.google.cloud.automl.v1.ClassificationEvaluationMetrics,
com.google.cloud.automl.v1.ClassificationEvaluationMetrics.Builder,
com.google.cloud.automl.v1.ClassificationEvaluationMetricsOrBuilder>
getClassificationEvaluationMetricsFieldBuilder() {
if (classificationEvaluationMetricsBuilder_ == null) {
if (!(metricsCase_ == 8)) {
metrics_ =
com.google.cloud.automl.v1.ClassificationEvaluationMetrics.getDefaultInstance();
}
classificationEvaluationMetricsBuilder_ =
new com.google.protobuf.SingleFieldBuilderV3<
com.google.cloud.automl.v1.ClassificationEvaluationMetrics,
com.google.cloud.automl.v1.ClassificationEvaluationMetrics.Builder,
com.google.cloud.automl.v1.ClassificationEvaluationMetricsOrBuilder>(
(com.google.cloud.automl.v1.ClassificationEvaluationMetrics) metrics_,
getParentForChildren(),
isClean());
metrics_ = null;
}
metricsCase_ = 8;
onChanged();
return classificationEvaluationMetricsBuilder_;
}
private com.google.protobuf.SingleFieldBuilderV3<
com.google.cloud.automl.v1.TranslationEvaluationMetrics,
com.google.cloud.automl.v1.TranslationEvaluationMetrics.Builder,
com.google.cloud.automl.v1.TranslationEvaluationMetricsOrBuilder>
translationEvaluationMetricsBuilder_;
/**
*
*
*
* Model evaluation metrics for translation.
*
*
*
* .google.cloud.automl.v1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
*
*
* @return Whether the translationEvaluationMetrics field is set.
*/
@java.lang.Override
public boolean hasTranslationEvaluationMetrics() {
return metricsCase_ == 9;
}
/**
*
*
*
* Model evaluation metrics for translation.
*
*
*
* .google.cloud.automl.v1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
*
*
* @return The translationEvaluationMetrics.
*/
@java.lang.Override
public com.google.cloud.automl.v1.TranslationEvaluationMetrics
getTranslationEvaluationMetrics() {
if (translationEvaluationMetricsBuilder_ == null) {
if (metricsCase_ == 9) {
return (com.google.cloud.automl.v1.TranslationEvaluationMetrics) metrics_;
}
return com.google.cloud.automl.v1.TranslationEvaluationMetrics.getDefaultInstance();
} else {
if (metricsCase_ == 9) {
return translationEvaluationMetricsBuilder_.getMessage();
}
return com.google.cloud.automl.v1.TranslationEvaluationMetrics.getDefaultInstance();
}
}
/**
*
*
*
* Model evaluation metrics for translation.
*
*
*
* .google.cloud.automl.v1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
*
*/
public Builder setTranslationEvaluationMetrics(
com.google.cloud.automl.v1.TranslationEvaluationMetrics value) {
if (translationEvaluationMetricsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
metrics_ = value;
onChanged();
} else {
translationEvaluationMetricsBuilder_.setMessage(value);
}
metricsCase_ = 9;
return this;
}
/**
*
*
*
* Model evaluation metrics for translation.
*
*
*
* .google.cloud.automl.v1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
*
*/
public Builder setTranslationEvaluationMetrics(
com.google.cloud.automl.v1.TranslationEvaluationMetrics.Builder builderForValue) {
if (translationEvaluationMetricsBuilder_ == null) {
metrics_ = builderForValue.build();
onChanged();
} else {
translationEvaluationMetricsBuilder_.setMessage(builderForValue.build());
}
metricsCase_ = 9;
return this;
}
/**
*
*
*
* Model evaluation metrics for translation.
*
*
*
* .google.cloud.automl.v1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
*
*/
public Builder mergeTranslationEvaluationMetrics(
com.google.cloud.automl.v1.TranslationEvaluationMetrics value) {
if (translationEvaluationMetricsBuilder_ == null) {
if (metricsCase_ == 9
&& metrics_
!= com.google.cloud.automl.v1.TranslationEvaluationMetrics.getDefaultInstance()) {
metrics_ =
com.google.cloud.automl.v1.TranslationEvaluationMetrics.newBuilder(
(com.google.cloud.automl.v1.TranslationEvaluationMetrics) metrics_)
.mergeFrom(value)
.buildPartial();
} else {
metrics_ = value;
}
onChanged();
} else {
if (metricsCase_ == 9) {
translationEvaluationMetricsBuilder_.mergeFrom(value);
} else {
translationEvaluationMetricsBuilder_.setMessage(value);
}
}
metricsCase_ = 9;
return this;
}
/**
*
*
*
* Model evaluation metrics for translation.
*
*
*
* .google.cloud.automl.v1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
*
*/
public Builder clearTranslationEvaluationMetrics() {
if (translationEvaluationMetricsBuilder_ == null) {
if (metricsCase_ == 9) {
metricsCase_ = 0;
metrics_ = null;
onChanged();
}
} else {
if (metricsCase_ == 9) {
metricsCase_ = 0;
metrics_ = null;
}
translationEvaluationMetricsBuilder_.clear();
}
return this;
}
/**
*
*
*
* Model evaluation metrics for translation.
*
*
*
* .google.cloud.automl.v1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
*
*/
public com.google.cloud.automl.v1.TranslationEvaluationMetrics.Builder
getTranslationEvaluationMetricsBuilder() {
return getTranslationEvaluationMetricsFieldBuilder().getBuilder();
}
/**
*
*
*
* Model evaluation metrics for translation.
*
*
*
* .google.cloud.automl.v1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
*
*/
@java.lang.Override
public com.google.cloud.automl.v1.TranslationEvaluationMetricsOrBuilder
getTranslationEvaluationMetricsOrBuilder() {
if ((metricsCase_ == 9) && (translationEvaluationMetricsBuilder_ != null)) {
return translationEvaluationMetricsBuilder_.getMessageOrBuilder();
} else {
if (metricsCase_ == 9) {
return (com.google.cloud.automl.v1.TranslationEvaluationMetrics) metrics_;
}
return com.google.cloud.automl.v1.TranslationEvaluationMetrics.getDefaultInstance();
}
}
/**
*
*
*
* Model evaluation metrics for translation.
*
*
*
* .google.cloud.automl.v1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
*
*/
private com.google.protobuf.SingleFieldBuilderV3<
com.google.cloud.automl.v1.TranslationEvaluationMetrics,
com.google.cloud.automl.v1.TranslationEvaluationMetrics.Builder,
com.google.cloud.automl.v1.TranslationEvaluationMetricsOrBuilder>
getTranslationEvaluationMetricsFieldBuilder() {
if (translationEvaluationMetricsBuilder_ == null) {
if (!(metricsCase_ == 9)) {
metrics_ = com.google.cloud.automl.v1.TranslationEvaluationMetrics.getDefaultInstance();
}
translationEvaluationMetricsBuilder_ =
new com.google.protobuf.SingleFieldBuilderV3<
com.google.cloud.automl.v1.TranslationEvaluationMetrics,
com.google.cloud.automl.v1.TranslationEvaluationMetrics.Builder,
com.google.cloud.automl.v1.TranslationEvaluationMetricsOrBuilder>(
(com.google.cloud.automl.v1.TranslationEvaluationMetrics) metrics_,
getParentForChildren(),
isClean());
metrics_ = null;
}
metricsCase_ = 9;
onChanged();
return translationEvaluationMetricsBuilder_;
}
private com.google.protobuf.SingleFieldBuilderV3<
com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics,
com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics.Builder,
com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetricsOrBuilder>
imageObjectDetectionEvaluationMetricsBuilder_;
/**
*
*
*
* Model evaluation metrics for image object detection.
*
*
*
* .google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
*
*
* @return Whether the imageObjectDetectionEvaluationMetrics field is set.
*/
@java.lang.Override
public boolean hasImageObjectDetectionEvaluationMetrics() {
return metricsCase_ == 12;
}
/**
*
*
*
* Model evaluation metrics for image object detection.
*
*
*
* .google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
*
*
* @return The imageObjectDetectionEvaluationMetrics.
*/
@java.lang.Override
public com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics
getImageObjectDetectionEvaluationMetrics() {
if (imageObjectDetectionEvaluationMetricsBuilder_ == null) {
if (metricsCase_ == 12) {
return (com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics) metrics_;
}
return com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics
.getDefaultInstance();
} else {
if (metricsCase_ == 12) {
return imageObjectDetectionEvaluationMetricsBuilder_.getMessage();
}
return com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics
.getDefaultInstance();
}
}
/**
*
*
*
* Model evaluation metrics for image object detection.
*
*
*
* .google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
*
*/
public Builder setImageObjectDetectionEvaluationMetrics(
com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics value) {
if (imageObjectDetectionEvaluationMetricsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
metrics_ = value;
onChanged();
} else {
imageObjectDetectionEvaluationMetricsBuilder_.setMessage(value);
}
metricsCase_ = 12;
return this;
}
/**
*
*
*
* Model evaluation metrics for image object detection.
*
*
*
* .google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
*
*/
public Builder setImageObjectDetectionEvaluationMetrics(
com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics.Builder builderForValue) {
if (imageObjectDetectionEvaluationMetricsBuilder_ == null) {
metrics_ = builderForValue.build();
onChanged();
} else {
imageObjectDetectionEvaluationMetricsBuilder_.setMessage(builderForValue.build());
}
metricsCase_ = 12;
return this;
}
/**
*
*
*
* Model evaluation metrics for image object detection.
*
*
*
* .google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
*
*/
public Builder mergeImageObjectDetectionEvaluationMetrics(
com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics value) {
if (imageObjectDetectionEvaluationMetricsBuilder_ == null) {
if (metricsCase_ == 12
&& metrics_
!= com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics
.getDefaultInstance()) {
metrics_ =
com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics.newBuilder(
(com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics) metrics_)
.mergeFrom(value)
.buildPartial();
} else {
metrics_ = value;
}
onChanged();
} else {
if (metricsCase_ == 12) {
imageObjectDetectionEvaluationMetricsBuilder_.mergeFrom(value);
} else {
imageObjectDetectionEvaluationMetricsBuilder_.setMessage(value);
}
}
metricsCase_ = 12;
return this;
}
/**
*
*
*
* Model evaluation metrics for image object detection.
*
*
*
* .google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
*
*/
public Builder clearImageObjectDetectionEvaluationMetrics() {
if (imageObjectDetectionEvaluationMetricsBuilder_ == null) {
if (metricsCase_ == 12) {
metricsCase_ = 0;
metrics_ = null;
onChanged();
}
} else {
if (metricsCase_ == 12) {
metricsCase_ = 0;
metrics_ = null;
}
imageObjectDetectionEvaluationMetricsBuilder_.clear();
}
return this;
}
/**
*
*
*
* Model evaluation metrics for image object detection.
*
*
*
* .google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
*
*/
public com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics.Builder
getImageObjectDetectionEvaluationMetricsBuilder() {
return getImageObjectDetectionEvaluationMetricsFieldBuilder().getBuilder();
}
/**
*
*
*
* Model evaluation metrics for image object detection.
*
*
*
* .google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
*
*/
@java.lang.Override
public com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetricsOrBuilder
getImageObjectDetectionEvaluationMetricsOrBuilder() {
if ((metricsCase_ == 12) && (imageObjectDetectionEvaluationMetricsBuilder_ != null)) {
return imageObjectDetectionEvaluationMetricsBuilder_.getMessageOrBuilder();
} else {
if (metricsCase_ == 12) {
return (com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics) metrics_;
}
return com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics
.getDefaultInstance();
}
}
/**
*
*
*
* Model evaluation metrics for image object detection.
*
*
*
* .google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
*
*/
private com.google.protobuf.SingleFieldBuilderV3<
com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics,
com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics.Builder,
com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetricsOrBuilder>
getImageObjectDetectionEvaluationMetricsFieldBuilder() {
if (imageObjectDetectionEvaluationMetricsBuilder_ == null) {
if (!(metricsCase_ == 12)) {
metrics_ =
com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics.getDefaultInstance();
}
imageObjectDetectionEvaluationMetricsBuilder_ =
new com.google.protobuf.SingleFieldBuilderV3<
com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics,
com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics.Builder,
com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetricsOrBuilder>(
(com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics) metrics_,
getParentForChildren(),
isClean());
metrics_ = null;
}
metricsCase_ = 12;
onChanged();
return imageObjectDetectionEvaluationMetricsBuilder_;
}
private com.google.protobuf.SingleFieldBuilderV3<
com.google.cloud.automl.v1.TextSentimentEvaluationMetrics,
com.google.cloud.automl.v1.TextSentimentEvaluationMetrics.Builder,
com.google.cloud.automl.v1.TextSentimentEvaluationMetricsOrBuilder>
textSentimentEvaluationMetricsBuilder_;
/**
*
*
*
* Evaluation metrics for text sentiment models.
*
*
*
* .google.cloud.automl.v1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
*
*
* @return Whether the textSentimentEvaluationMetrics field is set.
*/
@java.lang.Override
public boolean hasTextSentimentEvaluationMetrics() {
return metricsCase_ == 11;
}
/**
*
*
*
* Evaluation metrics for text sentiment models.
*
*
*
* .google.cloud.automl.v1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
*
*
* @return The textSentimentEvaluationMetrics.
*/
@java.lang.Override
public com.google.cloud.automl.v1.TextSentimentEvaluationMetrics
getTextSentimentEvaluationMetrics() {
if (textSentimentEvaluationMetricsBuilder_ == null) {
if (metricsCase_ == 11) {
return (com.google.cloud.automl.v1.TextSentimentEvaluationMetrics) metrics_;
}
return com.google.cloud.automl.v1.TextSentimentEvaluationMetrics.getDefaultInstance();
} else {
if (metricsCase_ == 11) {
return textSentimentEvaluationMetricsBuilder_.getMessage();
}
return com.google.cloud.automl.v1.TextSentimentEvaluationMetrics.getDefaultInstance();
}
}
/**
*
*
*
* Evaluation metrics for text sentiment models.
*
*
*
* .google.cloud.automl.v1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
*
*/
public Builder setTextSentimentEvaluationMetrics(
com.google.cloud.automl.v1.TextSentimentEvaluationMetrics value) {
if (textSentimentEvaluationMetricsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
metrics_ = value;
onChanged();
} else {
textSentimentEvaluationMetricsBuilder_.setMessage(value);
}
metricsCase_ = 11;
return this;
}
/**
*
*
*
* Evaluation metrics for text sentiment models.
*
*
*
* .google.cloud.automl.v1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
*
*/
public Builder setTextSentimentEvaluationMetrics(
com.google.cloud.automl.v1.TextSentimentEvaluationMetrics.Builder builderForValue) {
if (textSentimentEvaluationMetricsBuilder_ == null) {
metrics_ = builderForValue.build();
onChanged();
} else {
textSentimentEvaluationMetricsBuilder_.setMessage(builderForValue.build());
}
metricsCase_ = 11;
return this;
}
/**
*
*
*
* Evaluation metrics for text sentiment models.
*
*
*
* .google.cloud.automl.v1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
*
*/
public Builder mergeTextSentimentEvaluationMetrics(
com.google.cloud.automl.v1.TextSentimentEvaluationMetrics value) {
if (textSentimentEvaluationMetricsBuilder_ == null) {
if (metricsCase_ == 11
&& metrics_
!= com.google.cloud.automl.v1.TextSentimentEvaluationMetrics.getDefaultInstance()) {
metrics_ =
com.google.cloud.automl.v1.TextSentimentEvaluationMetrics.newBuilder(
(com.google.cloud.automl.v1.TextSentimentEvaluationMetrics) metrics_)
.mergeFrom(value)
.buildPartial();
} else {
metrics_ = value;
}
onChanged();
} else {
if (metricsCase_ == 11) {
textSentimentEvaluationMetricsBuilder_.mergeFrom(value);
} else {
textSentimentEvaluationMetricsBuilder_.setMessage(value);
}
}
metricsCase_ = 11;
return this;
}
/**
*
*
*
* Evaluation metrics for text sentiment models.
*
*
*
* .google.cloud.automl.v1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
*
*/
public Builder clearTextSentimentEvaluationMetrics() {
if (textSentimentEvaluationMetricsBuilder_ == null) {
if (metricsCase_ == 11) {
metricsCase_ = 0;
metrics_ = null;
onChanged();
}
} else {
if (metricsCase_ == 11) {
metricsCase_ = 0;
metrics_ = null;
}
textSentimentEvaluationMetricsBuilder_.clear();
}
return this;
}
/**
*
*
*
* Evaluation metrics for text sentiment models.
*
*
*
* .google.cloud.automl.v1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
*
*/
public com.google.cloud.automl.v1.TextSentimentEvaluationMetrics.Builder
getTextSentimentEvaluationMetricsBuilder() {
return getTextSentimentEvaluationMetricsFieldBuilder().getBuilder();
}
/**
*
*
*
* Evaluation metrics for text sentiment models.
*
*
*
* .google.cloud.automl.v1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
*
*/
@java.lang.Override
public com.google.cloud.automl.v1.TextSentimentEvaluationMetricsOrBuilder
getTextSentimentEvaluationMetricsOrBuilder() {
if ((metricsCase_ == 11) && (textSentimentEvaluationMetricsBuilder_ != null)) {
return textSentimentEvaluationMetricsBuilder_.getMessageOrBuilder();
} else {
if (metricsCase_ == 11) {
return (com.google.cloud.automl.v1.TextSentimentEvaluationMetrics) metrics_;
}
return com.google.cloud.automl.v1.TextSentimentEvaluationMetrics.getDefaultInstance();
}
}
/**
*
*
*
* Evaluation metrics for text sentiment models.
*
*
*
* .google.cloud.automl.v1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
*
*/
private com.google.protobuf.SingleFieldBuilderV3<
com.google.cloud.automl.v1.TextSentimentEvaluationMetrics,
com.google.cloud.automl.v1.TextSentimentEvaluationMetrics.Builder,
com.google.cloud.automl.v1.TextSentimentEvaluationMetricsOrBuilder>
getTextSentimentEvaluationMetricsFieldBuilder() {
if (textSentimentEvaluationMetricsBuilder_ == null) {
if (!(metricsCase_ == 11)) {
metrics_ = com.google.cloud.automl.v1.TextSentimentEvaluationMetrics.getDefaultInstance();
}
textSentimentEvaluationMetricsBuilder_ =
new com.google.protobuf.SingleFieldBuilderV3<
com.google.cloud.automl.v1.TextSentimentEvaluationMetrics,
com.google.cloud.automl.v1.TextSentimentEvaluationMetrics.Builder,
com.google.cloud.automl.v1.TextSentimentEvaluationMetricsOrBuilder>(
(com.google.cloud.automl.v1.TextSentimentEvaluationMetrics) metrics_,
getParentForChildren(),
isClean());
metrics_ = null;
}
metricsCase_ = 11;
onChanged();
return textSentimentEvaluationMetricsBuilder_;
}
private com.google.protobuf.SingleFieldBuilderV3<
com.google.cloud.automl.v1.TextExtractionEvaluationMetrics,
com.google.cloud.automl.v1.TextExtractionEvaluationMetrics.Builder,
com.google.cloud.automl.v1.TextExtractionEvaluationMetricsOrBuilder>
textExtractionEvaluationMetricsBuilder_;
/**
*
*
*
* Evaluation metrics for text extraction models.
*
*
*
* .google.cloud.automl.v1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
*
*
* @return Whether the textExtractionEvaluationMetrics field is set.
*/
@java.lang.Override
public boolean hasTextExtractionEvaluationMetrics() {
return metricsCase_ == 13;
}
/**
*
*
*
* Evaluation metrics for text extraction models.
*
*
*
* .google.cloud.automl.v1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
*
*
* @return The textExtractionEvaluationMetrics.
*/
@java.lang.Override
public com.google.cloud.automl.v1.TextExtractionEvaluationMetrics
getTextExtractionEvaluationMetrics() {
if (textExtractionEvaluationMetricsBuilder_ == null) {
if (metricsCase_ == 13) {
return (com.google.cloud.automl.v1.TextExtractionEvaluationMetrics) metrics_;
}
return com.google.cloud.automl.v1.TextExtractionEvaluationMetrics.getDefaultInstance();
} else {
if (metricsCase_ == 13) {
return textExtractionEvaluationMetricsBuilder_.getMessage();
}
return com.google.cloud.automl.v1.TextExtractionEvaluationMetrics.getDefaultInstance();
}
}
/**
*
*
*
* Evaluation metrics for text extraction models.
*
*
*
* .google.cloud.automl.v1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
*
*/
public Builder setTextExtractionEvaluationMetrics(
com.google.cloud.automl.v1.TextExtractionEvaluationMetrics value) {
if (textExtractionEvaluationMetricsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
metrics_ = value;
onChanged();
} else {
textExtractionEvaluationMetricsBuilder_.setMessage(value);
}
metricsCase_ = 13;
return this;
}
/**
*
*
*
* Evaluation metrics for text extraction models.
*
*
*
* .google.cloud.automl.v1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
*
*/
public Builder setTextExtractionEvaluationMetrics(
com.google.cloud.automl.v1.TextExtractionEvaluationMetrics.Builder builderForValue) {
if (textExtractionEvaluationMetricsBuilder_ == null) {
metrics_ = builderForValue.build();
onChanged();
} else {
textExtractionEvaluationMetricsBuilder_.setMessage(builderForValue.build());
}
metricsCase_ = 13;
return this;
}
/**
*
*
*
* Evaluation metrics for text extraction models.
*
*
*
* .google.cloud.automl.v1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
*
*/
public Builder mergeTextExtractionEvaluationMetrics(
com.google.cloud.automl.v1.TextExtractionEvaluationMetrics value) {
if (textExtractionEvaluationMetricsBuilder_ == null) {
if (metricsCase_ == 13
&& metrics_
!= com.google.cloud.automl.v1.TextExtractionEvaluationMetrics
.getDefaultInstance()) {
metrics_ =
com.google.cloud.automl.v1.TextExtractionEvaluationMetrics.newBuilder(
(com.google.cloud.automl.v1.TextExtractionEvaluationMetrics) metrics_)
.mergeFrom(value)
.buildPartial();
} else {
metrics_ = value;
}
onChanged();
} else {
if (metricsCase_ == 13) {
textExtractionEvaluationMetricsBuilder_.mergeFrom(value);
} else {
textExtractionEvaluationMetricsBuilder_.setMessage(value);
}
}
metricsCase_ = 13;
return this;
}
/**
*
*
*
* Evaluation metrics for text extraction models.
*
*
*
* .google.cloud.automl.v1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
*
*/
public Builder clearTextExtractionEvaluationMetrics() {
if (textExtractionEvaluationMetricsBuilder_ == null) {
if (metricsCase_ == 13) {
metricsCase_ = 0;
metrics_ = null;
onChanged();
}
} else {
if (metricsCase_ == 13) {
metricsCase_ = 0;
metrics_ = null;
}
textExtractionEvaluationMetricsBuilder_.clear();
}
return this;
}
/**
*
*
*
* Evaluation metrics for text extraction models.
*
*
*
* .google.cloud.automl.v1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
*
*/
public com.google.cloud.automl.v1.TextExtractionEvaluationMetrics.Builder
getTextExtractionEvaluationMetricsBuilder() {
return getTextExtractionEvaluationMetricsFieldBuilder().getBuilder();
}
/**
*
*
*
* Evaluation metrics for text extraction models.
*
*
*
* .google.cloud.automl.v1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
*
*/
@java.lang.Override
public com.google.cloud.automl.v1.TextExtractionEvaluationMetricsOrBuilder
getTextExtractionEvaluationMetricsOrBuilder() {
if ((metricsCase_ == 13) && (textExtractionEvaluationMetricsBuilder_ != null)) {
return textExtractionEvaluationMetricsBuilder_.getMessageOrBuilder();
} else {
if (metricsCase_ == 13) {
return (com.google.cloud.automl.v1.TextExtractionEvaluationMetrics) metrics_;
}
return com.google.cloud.automl.v1.TextExtractionEvaluationMetrics.getDefaultInstance();
}
}
/**
*
*
*
* Evaluation metrics for text extraction models.
*
*
*
* .google.cloud.automl.v1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
*
*/
private com.google.protobuf.SingleFieldBuilderV3<
com.google.cloud.automl.v1.TextExtractionEvaluationMetrics,
com.google.cloud.automl.v1.TextExtractionEvaluationMetrics.Builder,
com.google.cloud.automl.v1.TextExtractionEvaluationMetricsOrBuilder>
getTextExtractionEvaluationMetricsFieldBuilder() {
if (textExtractionEvaluationMetricsBuilder_ == null) {
if (!(metricsCase_ == 13)) {
metrics_ =
com.google.cloud.automl.v1.TextExtractionEvaluationMetrics.getDefaultInstance();
}
textExtractionEvaluationMetricsBuilder_ =
new com.google.protobuf.SingleFieldBuilderV3<
com.google.cloud.automl.v1.TextExtractionEvaluationMetrics,
com.google.cloud.automl.v1.TextExtractionEvaluationMetrics.Builder,
com.google.cloud.automl.v1.TextExtractionEvaluationMetricsOrBuilder>(
(com.google.cloud.automl.v1.TextExtractionEvaluationMetrics) metrics_,
getParentForChildren(),
isClean());
metrics_ = null;
}
metricsCase_ = 13;
onChanged();
return textExtractionEvaluationMetricsBuilder_;
}
private java.lang.Object name_ = "";
/**
*
*
*
* Output only. Resource name of the model evaluation.
* Format:
* `projects/{project_id}/locations/{location_id}/models/{model_id}/modelEvaluations/{model_evaluation_id}`
*
*
* string name = 1;
*
* @return The name.
*/
public java.lang.String getName() {
java.lang.Object ref = name_;
if (!(ref instanceof java.lang.String)) {
com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
name_ = s;
return s;
} else {
return (java.lang.String) ref;
}
}
/**
*
*
*
* Output only. Resource name of the model evaluation.
* Format:
* `projects/{project_id}/locations/{location_id}/models/{model_id}/modelEvaluations/{model_evaluation_id}`
*
*
* string name = 1;
*
* @return The bytes for name.
*/
public com.google.protobuf.ByteString getNameBytes() {
java.lang.Object ref = name_;
if (ref instanceof String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
name_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
/**
*
*
*
* Output only. Resource name of the model evaluation.
* Format:
* `projects/{project_id}/locations/{location_id}/models/{model_id}/modelEvaluations/{model_evaluation_id}`
*
*
* string name = 1;
*
* @param value The name to set.
* @return This builder for chaining.
*/
public Builder setName(java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
name_ = value;
bitField0_ |= 0x00000020;
onChanged();
return this;
}
/**
*
*
*
* Output only. Resource name of the model evaluation.
* Format:
* `projects/{project_id}/locations/{location_id}/models/{model_id}/modelEvaluations/{model_evaluation_id}`
*
*
* string name = 1;
*
* @return This builder for chaining.
*/
public Builder clearName() {
name_ = getDefaultInstance().getName();
bitField0_ = (bitField0_ & ~0x00000020);
onChanged();
return this;
}
/**
*
*
*
* Output only. Resource name of the model evaluation.
* Format:
* `projects/{project_id}/locations/{location_id}/models/{model_id}/modelEvaluations/{model_evaluation_id}`
*
*
* string name = 1;
*
* @param value The bytes for name to set.
* @return This builder for chaining.
*/
public Builder setNameBytes(com.google.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
name_ = value;
bitField0_ |= 0x00000020;
onChanged();
return this;
}
private java.lang.Object annotationSpecId_ = "";
/**
*
*
*
* Output only. The ID of the annotation spec that the model evaluation applies to. The
* The ID is empty for the overall model evaluation.
* For Tables annotation specs in the dataset do not exist and this ID is
* always not set, but for CLASSIFICATION
* [prediction_type-s][google.cloud.automl.v1.TablesModelMetadata.prediction_type]
* the
* [display_name][google.cloud.automl.v1.ModelEvaluation.display_name]
* field is used.
*
*
* string annotation_spec_id = 2;
*
* @return The annotationSpecId.
*/
public java.lang.String getAnnotationSpecId() {
java.lang.Object ref = annotationSpecId_;
if (!(ref instanceof java.lang.String)) {
com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
annotationSpecId_ = s;
return s;
} else {
return (java.lang.String) ref;
}
}
/**
*
*
*
* Output only. The ID of the annotation spec that the model evaluation applies to. The
* The ID is empty for the overall model evaluation.
* For Tables annotation specs in the dataset do not exist and this ID is
* always not set, but for CLASSIFICATION
* [prediction_type-s][google.cloud.automl.v1.TablesModelMetadata.prediction_type]
* the
* [display_name][google.cloud.automl.v1.ModelEvaluation.display_name]
* field is used.
*
*
* string annotation_spec_id = 2;
*
* @return The bytes for annotationSpecId.
*/
public com.google.protobuf.ByteString getAnnotationSpecIdBytes() {
java.lang.Object ref = annotationSpecId_;
if (ref instanceof String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
annotationSpecId_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
/**
*
*
*
* Output only. The ID of the annotation spec that the model evaluation applies to. The
* The ID is empty for the overall model evaluation.
* For Tables annotation specs in the dataset do not exist and this ID is
* always not set, but for CLASSIFICATION
* [prediction_type-s][google.cloud.automl.v1.TablesModelMetadata.prediction_type]
* the
* [display_name][google.cloud.automl.v1.ModelEvaluation.display_name]
* field is used.
*
*
* string annotation_spec_id = 2;
*
* @param value The annotationSpecId to set.
* @return This builder for chaining.
*/
public Builder setAnnotationSpecId(java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
annotationSpecId_ = value;
bitField0_ |= 0x00000040;
onChanged();
return this;
}
/**
*
*
*
* Output only. The ID of the annotation spec that the model evaluation applies to. The
* The ID is empty for the overall model evaluation.
* For Tables annotation specs in the dataset do not exist and this ID is
* always not set, but for CLASSIFICATION
* [prediction_type-s][google.cloud.automl.v1.TablesModelMetadata.prediction_type]
* the
* [display_name][google.cloud.automl.v1.ModelEvaluation.display_name]
* field is used.
*
*
* string annotation_spec_id = 2;
*
* @return This builder for chaining.
*/
public Builder clearAnnotationSpecId() {
annotationSpecId_ = getDefaultInstance().getAnnotationSpecId();
bitField0_ = (bitField0_ & ~0x00000040);
onChanged();
return this;
}
/**
*
*
*
* Output only. The ID of the annotation spec that the model evaluation applies to. The
* The ID is empty for the overall model evaluation.
* For Tables annotation specs in the dataset do not exist and this ID is
* always not set, but for CLASSIFICATION
* [prediction_type-s][google.cloud.automl.v1.TablesModelMetadata.prediction_type]
* the
* [display_name][google.cloud.automl.v1.ModelEvaluation.display_name]
* field is used.
*
*
* string annotation_spec_id = 2;
*
* @param value The bytes for annotationSpecId to set.
* @return This builder for chaining.
*/
public Builder setAnnotationSpecIdBytes(com.google.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
annotationSpecId_ = value;
bitField0_ |= 0x00000040;
onChanged();
return this;
}
private java.lang.Object displayName_ = "";
/**
*
*
*
* Output only. The value of
* [display_name][google.cloud.automl.v1.AnnotationSpec.display_name]
* at the moment when the model was trained. Because this field returns a
* value at model training time, for different models trained from the same
* dataset, the values may differ, since display names could had been changed
* between the two model's trainings. For Tables CLASSIFICATION
* [prediction_type-s][google.cloud.automl.v1.TablesModelMetadata.prediction_type]
* distinct values of the target column at the moment of the model evaluation
* are populated here.
* The display_name is empty for the overall model evaluation.
*
*
* string display_name = 15;
*
* @return The displayName.
*/
public java.lang.String getDisplayName() {
java.lang.Object ref = displayName_;
if (!(ref instanceof java.lang.String)) {
com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
displayName_ = s;
return s;
} else {
return (java.lang.String) ref;
}
}
/**
*
*
*
* Output only. The value of
* [display_name][google.cloud.automl.v1.AnnotationSpec.display_name]
* at the moment when the model was trained. Because this field returns a
* value at model training time, for different models trained from the same
* dataset, the values may differ, since display names could had been changed
* between the two model's trainings. For Tables CLASSIFICATION
* [prediction_type-s][google.cloud.automl.v1.TablesModelMetadata.prediction_type]
* distinct values of the target column at the moment of the model evaluation
* are populated here.
* The display_name is empty for the overall model evaluation.
*
*
* string display_name = 15;
*
* @return The bytes for displayName.
*/
public com.google.protobuf.ByteString getDisplayNameBytes() {
java.lang.Object ref = displayName_;
if (ref instanceof String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
displayName_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
/**
*
*
*
* Output only. The value of
* [display_name][google.cloud.automl.v1.AnnotationSpec.display_name]
* at the moment when the model was trained. Because this field returns a
* value at model training time, for different models trained from the same
* dataset, the values may differ, since display names could had been changed
* between the two model's trainings. For Tables CLASSIFICATION
* [prediction_type-s][google.cloud.automl.v1.TablesModelMetadata.prediction_type]
* distinct values of the target column at the moment of the model evaluation
* are populated here.
* The display_name is empty for the overall model evaluation.
*
*
* string display_name = 15;
*
* @param value The displayName to set.
* @return This builder for chaining.
*/
public Builder setDisplayName(java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
displayName_ = value;
bitField0_ |= 0x00000080;
onChanged();
return this;
}
/**
*
*
*
* Output only. The value of
* [display_name][google.cloud.automl.v1.AnnotationSpec.display_name]
* at the moment when the model was trained. Because this field returns a
* value at model training time, for different models trained from the same
* dataset, the values may differ, since display names could had been changed
* between the two model's trainings. For Tables CLASSIFICATION
* [prediction_type-s][google.cloud.automl.v1.TablesModelMetadata.prediction_type]
* distinct values of the target column at the moment of the model evaluation
* are populated here.
* The display_name is empty for the overall model evaluation.
*
*
* string display_name = 15;
*
* @return This builder for chaining.
*/
public Builder clearDisplayName() {
displayName_ = getDefaultInstance().getDisplayName();
bitField0_ = (bitField0_ & ~0x00000080);
onChanged();
return this;
}
/**
*
*
*
* Output only. The value of
* [display_name][google.cloud.automl.v1.AnnotationSpec.display_name]
* at the moment when the model was trained. Because this field returns a
* value at model training time, for different models trained from the same
* dataset, the values may differ, since display names could had been changed
* between the two model's trainings. For Tables CLASSIFICATION
* [prediction_type-s][google.cloud.automl.v1.TablesModelMetadata.prediction_type]
* distinct values of the target column at the moment of the model evaluation
* are populated here.
* The display_name is empty for the overall model evaluation.
*
*
* string display_name = 15;
*
* @param value The bytes for displayName to set.
* @return This builder for chaining.
*/
public Builder setDisplayNameBytes(com.google.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
displayName_ = value;
bitField0_ |= 0x00000080;
onChanged();
return this;
}
private com.google.protobuf.Timestamp createTime_;
private com.google.protobuf.SingleFieldBuilderV3<
com.google.protobuf.Timestamp,
com.google.protobuf.Timestamp.Builder,
com.google.protobuf.TimestampOrBuilder>
createTimeBuilder_;
/**
*
*
*
* Output only. Timestamp when this model evaluation was created.
*
*
* .google.protobuf.Timestamp create_time = 5;
*
* @return Whether the createTime field is set.
*/
public boolean hasCreateTime() {
return ((bitField0_ & 0x00000100) != 0);
}
/**
*
*
*
* Output only. Timestamp when this model evaluation was created.
*
*
* .google.protobuf.Timestamp create_time = 5;
*
* @return The createTime.
*/
public com.google.protobuf.Timestamp getCreateTime() {
if (createTimeBuilder_ == null) {
return createTime_ == null
? com.google.protobuf.Timestamp.getDefaultInstance()
: createTime_;
} else {
return createTimeBuilder_.getMessage();
}
}
/**
*
*
*
* Output only. Timestamp when this model evaluation was created.
*
*
* .google.protobuf.Timestamp create_time = 5;
*/
public Builder setCreateTime(com.google.protobuf.Timestamp value) {
if (createTimeBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
createTime_ = value;
} else {
createTimeBuilder_.setMessage(value);
}
bitField0_ |= 0x00000100;
onChanged();
return this;
}
/**
*
*
*
* Output only. Timestamp when this model evaluation was created.
*
*
* .google.protobuf.Timestamp create_time = 5;
*/
public Builder setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue) {
if (createTimeBuilder_ == null) {
createTime_ = builderForValue.build();
} else {
createTimeBuilder_.setMessage(builderForValue.build());
}
bitField0_ |= 0x00000100;
onChanged();
return this;
}
/**
*
*
*
* Output only. Timestamp when this model evaluation was created.
*
*
* .google.protobuf.Timestamp create_time = 5;
*/
public Builder mergeCreateTime(com.google.protobuf.Timestamp value) {
if (createTimeBuilder_ == null) {
if (((bitField0_ & 0x00000100) != 0)
&& createTime_ != null
&& createTime_ != com.google.protobuf.Timestamp.getDefaultInstance()) {
getCreateTimeBuilder().mergeFrom(value);
} else {
createTime_ = value;
}
} else {
createTimeBuilder_.mergeFrom(value);
}
if (createTime_ != null) {
bitField0_ |= 0x00000100;
onChanged();
}
return this;
}
/**
*
*
*
* Output only. Timestamp when this model evaluation was created.
*
*
* .google.protobuf.Timestamp create_time = 5;
*/
public Builder clearCreateTime() {
bitField0_ = (bitField0_ & ~0x00000100);
createTime_ = null;
if (createTimeBuilder_ != null) {
createTimeBuilder_.dispose();
createTimeBuilder_ = null;
}
onChanged();
return this;
}
/**
*
*
*
* Output only. Timestamp when this model evaluation was created.
*
*
* .google.protobuf.Timestamp create_time = 5;
*/
public com.google.protobuf.Timestamp.Builder getCreateTimeBuilder() {
bitField0_ |= 0x00000100;
onChanged();
return getCreateTimeFieldBuilder().getBuilder();
}
/**
*
*
*
* Output only. Timestamp when this model evaluation was created.
*
*
* .google.protobuf.Timestamp create_time = 5;
*/
public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
if (createTimeBuilder_ != null) {
return createTimeBuilder_.getMessageOrBuilder();
} else {
return createTime_ == null
? com.google.protobuf.Timestamp.getDefaultInstance()
: createTime_;
}
}
/**
*
*
*
* Output only. Timestamp when this model evaluation was created.
*
*
* .google.protobuf.Timestamp create_time = 5;
*/
private com.google.protobuf.SingleFieldBuilderV3<
com.google.protobuf.Timestamp,
com.google.protobuf.Timestamp.Builder,
com.google.protobuf.TimestampOrBuilder>
getCreateTimeFieldBuilder() {
if (createTimeBuilder_ == null) {
createTimeBuilder_ =
new com.google.protobuf.SingleFieldBuilderV3<
com.google.protobuf.Timestamp,
com.google.protobuf.Timestamp.Builder,
com.google.protobuf.TimestampOrBuilder>(
getCreateTime(), getParentForChildren(), isClean());
createTime_ = null;
}
return createTimeBuilder_;
}
private int evaluatedExampleCount_;
/**
*
*
*
* Output only. The number of examples used for model evaluation, i.e. for
* which ground truth from time of model creation is compared against the
* predicted annotations created by the model.
* For overall ModelEvaluation (i.e. with annotation_spec_id not set) this is
* the total number of all examples used for evaluation.
* Otherwise, this is the count of examples that according to the ground
* truth were annotated by the
* [annotation_spec_id][google.cloud.automl.v1.ModelEvaluation.annotation_spec_id].
*
*
* int32 evaluated_example_count = 6;
*
* @return The evaluatedExampleCount.
*/
@java.lang.Override
public int getEvaluatedExampleCount() {
return evaluatedExampleCount_;
}
/**
*
*
*
* Output only. The number of examples used for model evaluation, i.e. for
* which ground truth from time of model creation is compared against the
* predicted annotations created by the model.
* For overall ModelEvaluation (i.e. with annotation_spec_id not set) this is
* the total number of all examples used for evaluation.
* Otherwise, this is the count of examples that according to the ground
* truth were annotated by the
* [annotation_spec_id][google.cloud.automl.v1.ModelEvaluation.annotation_spec_id].
*
*
* int32 evaluated_example_count = 6;
*
* @param value The evaluatedExampleCount to set.
* @return This builder for chaining.
*/
public Builder setEvaluatedExampleCount(int value) {
evaluatedExampleCount_ = value;
bitField0_ |= 0x00000200;
onChanged();
return this;
}
/**
*
*
*
* Output only. The number of examples used for model evaluation, i.e. for
* which ground truth from time of model creation is compared against the
* predicted annotations created by the model.
* For overall ModelEvaluation (i.e. with annotation_spec_id not set) this is
* the total number of all examples used for evaluation.
* Otherwise, this is the count of examples that according to the ground
* truth were annotated by the
* [annotation_spec_id][google.cloud.automl.v1.ModelEvaluation.annotation_spec_id].
*
*
* int32 evaluated_example_count = 6;
*
* @return This builder for chaining.
*/
public Builder clearEvaluatedExampleCount() {
bitField0_ = (bitField0_ & ~0x00000200);
evaluatedExampleCount_ = 0;
onChanged();
return this;
}
@java.lang.Override
public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFields(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:google.cloud.automl.v1.ModelEvaluation)
}
// @@protoc_insertion_point(class_scope:google.cloud.automl.v1.ModelEvaluation)
private static final com.google.cloud.automl.v1.ModelEvaluation DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new com.google.cloud.automl.v1.ModelEvaluation();
}
public static com.google.cloud.automl.v1.ModelEvaluation getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser PARSER =
new com.google.protobuf.AbstractParser() {
@java.lang.Override
public ModelEvaluation parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
Builder builder = newBuilder();
try {
builder.mergeFrom(input, extensionRegistry);
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
throw e.setUnfinishedMessage(builder.buildPartial());
} catch (com.google.protobuf.UninitializedMessageException e) {
throw e.asInvalidProtocolBufferException().setUnfinishedMessage(builder.buildPartial());
} catch (java.io.IOException e) {
throw new com.google.protobuf.InvalidProtocolBufferException(e)
.setUnfinishedMessage(builder.buildPartial());
}
return builder.buildPartial();
}
};
public static com.google.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public com.google.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public com.google.cloud.automl.v1.ModelEvaluation getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}