/* * Copyright 2020 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/model_evaluation.proto package com.google.cloud.automl.v1beta1; /** * * * 
 * Evaluation results of a model.
 *
* * Protobuf type {@code google.cloud.automl.v1beta1.ModelEvaluation} */ public final class ModelEvaluation extends com.google.protobuf.GeneratedMessageV3 implements // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.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(); } @java.lang.Override public final com.google.protobuf.UnknownFieldSet getUnknownFields() { return this.unknownFields; } public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { return com.google.cloud.automl.v1beta1.ModelEvaluationOuterClass .internal_static_google_cloud_automl_v1beta1_ModelEvaluation_descriptor; } @java.lang.Override protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable() { return com.google.cloud.automl.v1beta1.ModelEvaluationOuterClass .internal_static_google_cloud_automl_v1beta1_ModelEvaluation_fieldAccessorTable .ensureFieldAccessorsInitialized( com.google.cloud.automl.v1beta1.ModelEvaluation.class, com.google.cloud.automl.v1beta1.ModelEvaluation.Builder.class); } private int metricsCase_ = 0; private java.lang.Object metrics_; public enum MetricsCase implements com.google.protobuf.Internal.EnumLite, com.google.protobuf.AbstractMessage.InternalOneOfEnum { CLASSIFICATION_EVALUATION_METRICS(8), REGRESSION_EVALUATION_METRICS(24), TRANSLATION_EVALUATION_METRICS(9), IMAGE_OBJECT_DETECTION_EVALUATION_METRICS(12), VIDEO_OBJECT_TRACKING_EVALUATION_METRICS(14), 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 24: return REGRESSION_EVALUATION_METRICS; case 9: return TRANSLATION_EVALUATION_METRICS; case 12: return IMAGE_OBJECT_DETECTION_EVALUATION_METRICS; case 14: return VIDEO_OBJECT_TRACKING_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.v1beta1.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.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8; * * * @return The classificationEvaluationMetrics. */ @java.lang.Override public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics getClassificationEvaluationMetrics() { if (metricsCase_ == 8) { return (com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics) metrics_; } return com.google.cloud.automl.v1beta1.ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8; * */ @java.lang.Override public com.google.cloud.automl.v1beta1.ClassificationProto .ClassificationEvaluationMetricsOrBuilder getClassificationEvaluationMetricsOrBuilder() { if (metricsCase_ == 8) { return (com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics) metrics_; } return com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics .getDefaultInstance(); } public static final int REGRESSION_EVALUATION_METRICS_FIELD_NUMBER = 24; /** * * * 
   * Model evaluation metrics for Tables regression.
   * Tables problem is considered a regression when the target column
   * has FLOAT64 DataType.
   *
* * * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24; * * * @return Whether the regressionEvaluationMetrics field is set. */ @java.lang.Override public boolean hasRegressionEvaluationMetrics() { return metricsCase_ == 24; } /** * * * 
   * Model evaluation metrics for Tables regression.
   * Tables problem is considered a regression when the target column
   * has FLOAT64 DataType.
   *
* * * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24; * * * @return The regressionEvaluationMetrics. */ @java.lang.Override public com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics getRegressionEvaluationMetrics() { if (metricsCase_ == 24) { return (com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics) metrics_; } return com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics .getDefaultInstance(); } /** * * * 
   * Model evaluation metrics for Tables regression.
   * Tables problem is considered a regression when the target column
   * has FLOAT64 DataType.
   *
* * * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24; * */ @java.lang.Override public com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetricsOrBuilder getRegressionEvaluationMetricsOrBuilder() { if (metricsCase_ == 24) { return (com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics) metrics_; } return com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics .getDefaultInstance(); } public static final int TRANSLATION_EVALUATION_METRICS_FIELD_NUMBER = 9; /** * * * 
   * Model evaluation metrics for translation.
   *
* * * .google.cloud.automl.v1beta1.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.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9; * * * @return The translationEvaluationMetrics. */ @java.lang.Override public com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics getTranslationEvaluationMetrics() { if (metricsCase_ == 9) { return (com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics) metrics_; } return com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.getDefaultInstance(); } /** * * * 
   * Model evaluation metrics for translation.
   *
* * * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9; * */ @java.lang.Override public com.google.cloud.automl.v1beta1.TranslationEvaluationMetricsOrBuilder getTranslationEvaluationMetricsOrBuilder() { if (metricsCase_ == 9) { return (com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics) metrics_; } return com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.getDefaultInstance(); } public static final int IMAGE_OBJECT_DETECTION_EVALUATION_METRICS_FIELD_NUMBER = 12; /** * * * 
   * Model evaluation metrics for image object detection.
   *
* * * .google.cloud.automl.v1beta1.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.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12; * * * @return The imageObjectDetectionEvaluationMetrics. */ @java.lang.Override public com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics getImageObjectDetectionEvaluationMetrics() { if (metricsCase_ == 12) { return (com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) metrics_; } return com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics .getDefaultInstance(); } /** * * * 
   * Model evaluation metrics for image object detection.
   *
* * * .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12; * */ @java.lang.Override public com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetricsOrBuilder getImageObjectDetectionEvaluationMetricsOrBuilder() { if (metricsCase_ == 12) { return (com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) metrics_; } return com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics .getDefaultInstance(); } public static final int VIDEO_OBJECT_TRACKING_EVALUATION_METRICS_FIELD_NUMBER = 14; /** * * * 
   * Model evaluation metrics for video object tracking.
   *
* * * .google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14; * * * @return Whether the videoObjectTrackingEvaluationMetrics field is set. */ @java.lang.Override public boolean hasVideoObjectTrackingEvaluationMetrics() { return metricsCase_ == 14; } /** * * * 
   * Model evaluation metrics for video object tracking.
   *
* * * .google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14; * * * @return The videoObjectTrackingEvaluationMetrics. */ @java.lang.Override public com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics getVideoObjectTrackingEvaluationMetrics() { if (metricsCase_ == 14) { return (com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics) metrics_; } return com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics .getDefaultInstance(); } /** * * * 
   * Model evaluation metrics for video object tracking.
   *
* * * .google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14; * */ @java.lang.Override public com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetricsOrBuilder getVideoObjectTrackingEvaluationMetricsOrBuilder() { if (metricsCase_ == 14) { return (com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics) metrics_; } return com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics .getDefaultInstance(); } public static final int TEXT_SENTIMENT_EVALUATION_METRICS_FIELD_NUMBER = 11; /** * * * 
   * Evaluation metrics for text sentiment models.
   *
* * * .google.cloud.automl.v1beta1.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.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11; * * * @return The textSentimentEvaluationMetrics. */ @java.lang.Override public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics getTextSentimentEvaluationMetrics() { if (metricsCase_ == 11) { return (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics) metrics_; } return com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics .getDefaultInstance(); } /** * * * 
   * Evaluation metrics for text sentiment models.
   *
* * * .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11; * */ @java.lang.Override public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetricsOrBuilder getTextSentimentEvaluationMetricsOrBuilder() { if (metricsCase_ == 11) { return (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics) metrics_; } return com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics .getDefaultInstance(); } public static final int TEXT_EXTRACTION_EVALUATION_METRICS_FIELD_NUMBER = 13; /** * * * 
   * Evaluation metrics for text extraction models.
   *
* * * .google.cloud.automl.v1beta1.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.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13; * * * @return The textExtractionEvaluationMetrics. */ @java.lang.Override public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics getTextExtractionEvaluationMetrics() { if (metricsCase_ == 13) { return (com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) metrics_; } return com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.getDefaultInstance(); } /** * * * 
   * Evaluation metrics for text extraction models.
   *
* * * .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13; * */ @java.lang.Override public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetricsOrBuilder getTextExtractionEvaluationMetricsOrBuilder() { if (metricsCase_ == 13) { return (com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) metrics_; } return com.google.cloud.automl.v1beta1.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.v1beta1.TablesModelMetadata.prediction_type]
   * the
   * [display_name][google.cloud.automl.v1beta1.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.v1beta1.TablesModelMetadata.prediction_type]
   * the
   * [display_name][google.cloud.automl.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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 createTime_ != null; } /** * * * 
   * 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.v1beta1.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 (createTime_ != null) { output.writeMessage(5, getCreateTime()); } if (evaluatedExampleCount_ != 0) { output.writeInt32(6, evaluatedExampleCount_); } if (metricsCase_ == 8) { output.writeMessage( 8, (com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics) metrics_); } if (metricsCase_ == 9) { output.writeMessage( 9, (com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics) metrics_); } if (metricsCase_ == 11) { output.writeMessage( 11, (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics) metrics_); } if (metricsCase_ == 12) { output.writeMessage( 12, (com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) metrics_); } if (metricsCase_ == 13) { output.writeMessage( 13, (com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) metrics_); } if (metricsCase_ == 14) { output.writeMessage( 14, (com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics) metrics_); } if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(displayName_)) { com.google.protobuf.GeneratedMessageV3.writeString(output, 15, displayName_); } if (metricsCase_ == 24) { output.writeMessage( 24, (com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics) metrics_); } 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 (createTime_ != null) { 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.v1beta1.ClassificationProto.ClassificationEvaluationMetrics) metrics_); } if (metricsCase_ == 9) { size += com.google.protobuf.CodedOutputStream.computeMessageSize( 9, (com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics) metrics_); } if (metricsCase_ == 11) { size += com.google.protobuf.CodedOutputStream.computeMessageSize( 11, (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics) metrics_); } if (metricsCase_ == 12) { size += com.google.protobuf.CodedOutputStream.computeMessageSize( 12, (com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) metrics_); } if (metricsCase_ == 13) { size += com.google.protobuf.CodedOutputStream.computeMessageSize( 13, (com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) metrics_); } if (metricsCase_ == 14) { size += com.google.protobuf.CodedOutputStream.computeMessageSize( 14, (com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics) metrics_); } if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(displayName_)) { size += com.google.protobuf.GeneratedMessageV3.computeStringSize(15, displayName_); } if (metricsCase_ == 24) { size += com.google.protobuf.CodedOutputStream.computeMessageSize( 24, (com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics) metrics_); } 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.v1beta1.ModelEvaluation)) { return super.equals(obj); } com.google.cloud.automl.v1beta1.ModelEvaluation other = (com.google.cloud.automl.v1beta1.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 24: if (!getRegressionEvaluationMetrics().equals(other.getRegressionEvaluationMetrics())) return false; break; case 9: if (!getTranslationEvaluationMetrics().equals(other.getTranslationEvaluationMetrics())) return false; break; case 12: if (!getImageObjectDetectionEvaluationMetrics() .equals(other.getImageObjectDetectionEvaluationMetrics())) return false; break; case 14: if (!getVideoObjectTrackingEvaluationMetrics() .equals(other.getVideoObjectTrackingEvaluationMetrics())) 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(); switch (metricsCase_) { case 8: hash = (37 * hash) + CLASSIFICATION_EVALUATION_METRICS_FIELD_NUMBER; hash = (53 * hash) + getClassificationEvaluationMetrics().hashCode(); break; case 24: hash = (37 * hash) + REGRESSION_EVALUATION_METRICS_FIELD_NUMBER; hash = (53 * hash) + getRegressionEvaluationMetrics().hashCode(); break; case 9: hash = (37 * hash) + TRANSLATION_EVALUATION_METRICS_FIELD_NUMBER; hash = (53 * hash) + getTranslationEvaluationMetrics().hashCode(); break; case 12: hash = (37 * hash) + IMAGE_OBJECT_DETECTION_EVALUATION_METRICS_FIELD_NUMBER; hash = (53 * hash) + getImageObjectDetectionEvaluationMetrics().hashCode(); break; case 14: hash = (37 * hash) + VIDEO_OBJECT_TRACKING_EVALUATION_METRICS_FIELD_NUMBER; hash = (53 * hash) + getVideoObjectTrackingEvaluationMetrics().hashCode(); break; case 11: hash = (37 * hash) + TEXT_SENTIMENT_EVALUATION_METRICS_FIELD_NUMBER; hash = (53 * hash) + getTextSentimentEvaluationMetrics().hashCode(); break; case 13: hash = (37 * hash) + TEXT_EXTRACTION_EVALUATION_METRICS_FIELD_NUMBER; hash = (53 * hash) + getTextExtractionEvaluationMetrics().hashCode(); break; case 0: default: } hash = (29 * hash) + getUnknownFields().hashCode(); memoizedHashCode = hash; return hash; } public static com.google.cloud.automl.v1beta1.ModelEvaluation parseFrom(java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data); } public static com.google.cloud.automl.v1beta1.ModelEvaluation parseFrom( java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data, extensionRegistry); } public static com.google.cloud.automl.v1beta1.ModelEvaluation parseFrom( com.google.protobuf.ByteString data) throws com.google.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data); } public static com.google.cloud.automl.v1beta1.ModelEvaluation parseFrom( com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data, extensionRegistry); } public static com.google.cloud.automl.v1beta1.ModelEvaluation parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data); } public static com.google.cloud.automl.v1beta1.ModelEvaluation parseFrom( byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data, extensionRegistry); } public static com.google.cloud.automl.v1beta1.ModelEvaluation parseFrom(java.io.InputStream input) throws java.io.IOException { return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); } public static com.google.cloud.automl.v1beta1.ModelEvaluation parseFrom( java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException { return com.google.protobuf.GeneratedMessageV3.parseWithIOException( PARSER, input, extensionRegistry); } public static com.google.cloud.automl.v1beta1.ModelEvaluation parseDelimitedFrom( java.io.InputStream input) throws java.io.IOException { return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); } public static com.google.cloud.automl.v1beta1.ModelEvaluation parseDelimitedFrom( java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException { return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( PARSER, input, extensionRegistry); } public static com.google.cloud.automl.v1beta1.ModelEvaluation parseFrom( com.google.protobuf.CodedInputStream input) throws java.io.IOException { return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); } public static com.google.cloud.automl.v1beta1.ModelEvaluation parseFrom( com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException { return com.google.protobuf.GeneratedMessageV3.parseWithIOException( PARSER, input, extensionRegistry); } @java.lang.Override public Builder newBuilderForType() { return newBuilder(); } public static Builder newBuilder() { return DEFAULT_INSTANCE.toBuilder(); } public static Builder newBuilder(com.google.cloud.automl.v1beta1.ModelEvaluation prototype) { return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); } @java.lang.Override public Builder toBuilder() { return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); } @java.lang.Override protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { Builder builder = new Builder(parent); return builder; } /** * * * 
   * Evaluation results of a model.
   *
* * Protobuf type {@code google.cloud.automl.v1beta1.ModelEvaluation} */ public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder implements // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ModelEvaluation) com.google.cloud.automl.v1beta1.ModelEvaluationOrBuilder { public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { return com.google.cloud.automl.v1beta1.ModelEvaluationOuterClass .internal_static_google_cloud_automl_v1beta1_ModelEvaluation_descriptor; } @java.lang.Override protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable() { return com.google.cloud.automl.v1beta1.ModelEvaluationOuterClass .internal_static_google_cloud_automl_v1beta1_ModelEvaluation_fieldAccessorTable .ensureFieldAccessorsInitialized( com.google.cloud.automl.v1beta1.ModelEvaluation.class, com.google.cloud.automl.v1beta1.ModelEvaluation.Builder.class); } // Construct using com.google.cloud.automl.v1beta1.ModelEvaluation.newBuilder() private Builder() {} private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { super(parent); } @java.lang.Override public Builder clear() { super.clear(); bitField0_ = 0; if (classificationEvaluationMetricsBuilder_ != null) { classificationEvaluationMetricsBuilder_.clear(); } if (regressionEvaluationMetricsBuilder_ != null) { regressionEvaluationMetricsBuilder_.clear(); } if (translationEvaluationMetricsBuilder_ != null) { translationEvaluationMetricsBuilder_.clear(); } if (imageObjectDetectionEvaluationMetricsBuilder_ != null) { imageObjectDetectionEvaluationMetricsBuilder_.clear(); } if (videoObjectTrackingEvaluationMetricsBuilder_ != null) { videoObjectTrackingEvaluationMetricsBuilder_.clear(); } if (textSentimentEvaluationMetricsBuilder_ != null) { textSentimentEvaluationMetricsBuilder_.clear(); } if (textExtractionEvaluationMetricsBuilder_ != null) { textExtractionEvaluationMetricsBuilder_.clear(); } name_ = ""; annotationSpecId_ = ""; displayName_ = ""; createTime_ = null; if (createTimeBuilder_ != null) { createTimeBuilder_.dispose(); createTimeBuilder_ = null; } evaluatedExampleCount_ = 0; metricsCase_ = 0; metrics_ = null; return this; } @java.lang.Override public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { return com.google.cloud.automl.v1beta1.ModelEvaluationOuterClass .internal_static_google_cloud_automl_v1beta1_ModelEvaluation_descriptor; } @java.lang.Override public com.google.cloud.automl.v1beta1.ModelEvaluation getDefaultInstanceForType() { return com.google.cloud.automl.v1beta1.ModelEvaluation.getDefaultInstance(); } @java.lang.Override public com.google.cloud.automl.v1beta1.ModelEvaluation build() { com.google.cloud.automl.v1beta1.ModelEvaluation result = buildPartial(); if (!result.isInitialized()) { throw newUninitializedMessageException(result); } return result; } @java.lang.Override public com.google.cloud.automl.v1beta1.ModelEvaluation buildPartial() { com.google.cloud.automl.v1beta1.ModelEvaluation result = new com.google.cloud.automl.v1beta1.ModelEvaluation(this); if (bitField0_ != 0) { buildPartial0(result); } buildPartialOneofs(result); onBuilt(); return result; } private void buildPartial0(com.google.cloud.automl.v1beta1.ModelEvaluation result) { int from_bitField0_ = bitField0_; if (((from_bitField0_ & 0x00000080) != 0)) { result.name_ = name_; } if (((from_bitField0_ & 0x00000100) != 0)) { result.annotationSpecId_ = annotationSpecId_; } if (((from_bitField0_ & 0x00000200) != 0)) { result.displayName_ = displayName_; } if (((from_bitField0_ & 0x00000400) != 0)) { result.createTime_ = createTimeBuilder_ == null ? createTime_ : createTimeBuilder_.build(); } if (((from_bitField0_ & 0x00000800) != 0)) { result.evaluatedExampleCount_ = evaluatedExampleCount_; } } private void buildPartialOneofs(com.google.cloud.automl.v1beta1.ModelEvaluation result) { result.metricsCase_ = metricsCase_; result.metrics_ = this.metrics_; if (metricsCase_ == 8 && classificationEvaluationMetricsBuilder_ != null) { result.metrics_ = classificationEvaluationMetricsBuilder_.build(); } if (metricsCase_ == 24 && regressionEvaluationMetricsBuilder_ != null) { result.metrics_ = regressionEvaluationMetricsBuilder_.build(); } if (metricsCase_ == 9 && translationEvaluationMetricsBuilder_ != null) { result.metrics_ = translationEvaluationMetricsBuilder_.build(); } if (metricsCase_ == 12 && imageObjectDetectionEvaluationMetricsBuilder_ != null) { result.metrics_ = imageObjectDetectionEvaluationMetricsBuilder_.build(); } if (metricsCase_ == 14 && videoObjectTrackingEvaluationMetricsBuilder_ != null) { result.metrics_ = videoObjectTrackingEvaluationMetricsBuilder_.build(); } if (metricsCase_ == 11 && textSentimentEvaluationMetricsBuilder_ != null) { result.metrics_ = textSentimentEvaluationMetricsBuilder_.build(); } if (metricsCase_ == 13 && textExtractionEvaluationMetricsBuilder_ != null) { result.metrics_ = textExtractionEvaluationMetricsBuilder_.build(); } } @java.lang.Override public Builder clone() { return super.clone(); } @java.lang.Override public Builder setField( com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { return super.setField(field, value); } @java.lang.Override public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { return super.clearField(field); } @java.lang.Override public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { return super.clearOneof(oneof); } @java.lang.Override public Builder setRepeatedField( com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { return super.setRepeatedField(field, index, value); } @java.lang.Override public Builder addRepeatedField( com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { return super.addRepeatedField(field, value); } @java.lang.Override public Builder mergeFrom(com.google.protobuf.Message other) { if (other instanceof com.google.cloud.automl.v1beta1.ModelEvaluation) { return mergeFrom((com.google.cloud.automl.v1beta1.ModelEvaluation) other); } else { super.mergeFrom(other); return this; } } public Builder mergeFrom(com.google.cloud.automl.v1beta1.ModelEvaluation other) { if (other == com.google.cloud.automl.v1beta1.ModelEvaluation.getDefaultInstance()) return this; if (!other.getName().isEmpty()) { name_ = other.name_; bitField0_ |= 0x00000080; onChanged(); } if (!other.getAnnotationSpecId().isEmpty()) { annotationSpecId_ = other.annotationSpecId_; bitField0_ |= 0x00000100; onChanged(); } if (!other.getDisplayName().isEmpty()) { displayName_ = other.displayName_; bitField0_ |= 0x00000200; onChanged(); } if (other.hasCreateTime()) { mergeCreateTime(other.getCreateTime()); } if (other.getEvaluatedExampleCount() != 0) { setEvaluatedExampleCount(other.getEvaluatedExampleCount()); } switch (other.getMetricsCase()) { case CLASSIFICATION_EVALUATION_METRICS: { mergeClassificationEvaluationMetrics(other.getClassificationEvaluationMetrics()); break; } case REGRESSION_EVALUATION_METRICS: { mergeRegressionEvaluationMetrics(other.getRegressionEvaluationMetrics()); break; } case TRANSLATION_EVALUATION_METRICS: { mergeTranslationEvaluationMetrics(other.getTranslationEvaluationMetrics()); break; } case IMAGE_OBJECT_DETECTION_EVALUATION_METRICS: { mergeImageObjectDetectionEvaluationMetrics( other.getImageObjectDetectionEvaluationMetrics()); break; } case VIDEO_OBJECT_TRACKING_EVALUATION_METRICS: { mergeVideoObjectTrackingEvaluationMetrics( other.getVideoObjectTrackingEvaluationMetrics()); break; } case TEXT_SENTIMENT_EVALUATION_METRICS: { mergeTextSentimentEvaluationMetrics(other.getTextSentimentEvaluationMetrics()); break; } case TEXT_EXTRACTION_EVALUATION_METRICS: { mergeTextExtractionEvaluationMetrics(other.getTextExtractionEvaluationMetrics()); break; } case METRICS_NOT_SET: { break; } } this.mergeUnknownFields(other.getUnknownFields()); onChanged(); return this; } @java.lang.Override public final boolean isInitialized() { return true; } @java.lang.Override public Builder mergeFrom( com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException { if (extensionRegistry == null) { throw new java.lang.NullPointerException(); } try { boolean done = false; while (!done) { int tag = input.readTag(); switch (tag) { case 0: done = true; break; case 10: { name_ = input.readStringRequireUtf8(); bitField0_ |= 0x00000080; break; } // case 10 case 18: { annotationSpecId_ = input.readStringRequireUtf8(); bitField0_ |= 0x00000100; break; } // case 18 case 42: { input.readMessage(getCreateTimeFieldBuilder().getBuilder(), extensionRegistry); bitField0_ |= 0x00000400; break; } // case 42 case 48: { evaluatedExampleCount_ = input.readInt32(); bitField0_ |= 0x00000800; break; } // case 48 case 66: { input.readMessage( getClassificationEvaluationMetricsFieldBuilder().getBuilder(), extensionRegistry); metricsCase_ = 8; break; } // case 66 case 74: { input.readMessage( getTranslationEvaluationMetricsFieldBuilder().getBuilder(), extensionRegistry); metricsCase_ = 9; break; } // case 74 case 90: { input.readMessage( getTextSentimentEvaluationMetricsFieldBuilder().getBuilder(), extensionRegistry); metricsCase_ = 11; break; } // case 90 case 98: { input.readMessage( getImageObjectDetectionEvaluationMetricsFieldBuilder().getBuilder(), extensionRegistry); metricsCase_ = 12; break; } // case 98 case 106: { input.readMessage( getTextExtractionEvaluationMetricsFieldBuilder().getBuilder(), extensionRegistry); metricsCase_ = 13; break; } // case 106 case 114: { input.readMessage( getVideoObjectTrackingEvaluationMetricsFieldBuilder().getBuilder(), extensionRegistry); metricsCase_ = 14; break; } // case 114 case 122: { displayName_ = input.readStringRequireUtf8(); bitField0_ |= 0x00000200; break; } // case 122 case 194: { input.readMessage( getRegressionEvaluationMetricsFieldBuilder().getBuilder(), extensionRegistry); metricsCase_ = 24; break; } // case 194 default: { if (!super.parseUnknownField(input, extensionRegistry, tag)) { done = true; // was an endgroup tag } break; } // default: } // switch (tag) } // while (!done) } catch (com.google.protobuf.InvalidProtocolBufferException e) { throw e.unwrapIOException(); } finally { onChanged(); } // finally return this; } private int metricsCase_ = 0; private java.lang.Object metrics_; public MetricsCase getMetricsCase() { return MetricsCase.forNumber(metricsCase_); } public Builder clearMetrics() { metricsCase_ = 0; metrics_ = null; onChanged(); return this; } private int bitField0_; private com.google.protobuf.SingleFieldBuilderV3< com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics, com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics .Builder, com.google.cloud.automl.v1beta1.ClassificationProto .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.v1beta1.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.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8; * * * @return The classificationEvaluationMetrics. */ @java.lang.Override public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics getClassificationEvaluationMetrics() { if (classificationEvaluationMetricsBuilder_ == null) { if (metricsCase_ == 8) { return (com.google.cloud.automl.v1beta1.ClassificationProto .ClassificationEvaluationMetrics) metrics_; } return com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics .getDefaultInstance(); } else { if (metricsCase_ == 8) { return classificationEvaluationMetricsBuilder_.getMessage(); } return com.google.cloud.automl.v1beta1.ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8; * */ public Builder setClassificationEvaluationMetrics( com.google.cloud.automl.v1beta1.ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8; * */ public Builder setClassificationEvaluationMetrics( com.google.cloud.automl.v1beta1.ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8; * */ public Builder mergeClassificationEvaluationMetrics( com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics value) { if (classificationEvaluationMetricsBuilder_ == null) { if (metricsCase_ == 8 && metrics_ != com.google.cloud.automl.v1beta1.ClassificationProto .ClassificationEvaluationMetrics.getDefaultInstance()) { metrics_ = com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics .newBuilder( (com.google.cloud.automl.v1beta1.ClassificationProto .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.v1beta1.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.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8; * */ public com.google.cloud.automl.v1beta1.ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8; * */ @java.lang.Override public com.google.cloud.automl.v1beta1.ClassificationProto .ClassificationEvaluationMetricsOrBuilder getClassificationEvaluationMetricsOrBuilder() { if ((metricsCase_ == 8) && (classificationEvaluationMetricsBuilder_ != null)) { return classificationEvaluationMetricsBuilder_.getMessageOrBuilder(); } else { if (metricsCase_ == 8) { return (com.google.cloud.automl.v1beta1.ClassificationProto .ClassificationEvaluationMetrics) metrics_; } return com.google.cloud.automl.v1beta1.ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8; * */ private com.google.protobuf.SingleFieldBuilderV3< com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics, com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics .Builder, com.google.cloud.automl.v1beta1.ClassificationProto .ClassificationEvaluationMetricsOrBuilder> getClassificationEvaluationMetricsFieldBuilder() { if (classificationEvaluationMetricsBuilder_ == null) { if (!(metricsCase_ == 8)) { metrics_ = com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics .getDefaultInstance(); } classificationEvaluationMetricsBuilder_ = new com.google.protobuf.SingleFieldBuilderV3< com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics, com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics .Builder, com.google.cloud.automl.v1beta1.ClassificationProto .ClassificationEvaluationMetricsOrBuilder>( (com.google.cloud.automl.v1beta1.ClassificationProto .ClassificationEvaluationMetrics) metrics_, getParentForChildren(), isClean()); metrics_ = null; } metricsCase_ = 8; onChanged(); return classificationEvaluationMetricsBuilder_; } private com.google.protobuf.SingleFieldBuilderV3< com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics, com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics.Builder, com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetricsOrBuilder> regressionEvaluationMetricsBuilder_; /** * * * 
     * Model evaluation metrics for Tables regression.
     * Tables problem is considered a regression when the target column
     * has FLOAT64 DataType.
     *
* * * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24; * * * @return Whether the regressionEvaluationMetrics field is set. */ @java.lang.Override public boolean hasRegressionEvaluationMetrics() { return metricsCase_ == 24; } /** * * * 
     * Model evaluation metrics for Tables regression.
     * Tables problem is considered a regression when the target column
     * has FLOAT64 DataType.
     *
* * * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24; * * * @return The regressionEvaluationMetrics. */ @java.lang.Override public com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics getRegressionEvaluationMetrics() { if (regressionEvaluationMetricsBuilder_ == null) { if (metricsCase_ == 24) { return (com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics) metrics_; } return com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics .getDefaultInstance(); } else { if (metricsCase_ == 24) { return regressionEvaluationMetricsBuilder_.getMessage(); } return com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics .getDefaultInstance(); } } /** * * * 
     * Model evaluation metrics for Tables regression.
     * Tables problem is considered a regression when the target column
     * has FLOAT64 DataType.
     *
* * * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24; * */ public Builder setRegressionEvaluationMetrics( com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics value) { if (regressionEvaluationMetricsBuilder_ == null) { if (value == null) { throw new NullPointerException(); } metrics_ = value; onChanged(); } else { regressionEvaluationMetricsBuilder_.setMessage(value); } metricsCase_ = 24; return this; } /** * * * 
     * Model evaluation metrics for Tables regression.
     * Tables problem is considered a regression when the target column
     * has FLOAT64 DataType.
     *
* * * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24; * */ public Builder setRegressionEvaluationMetrics( com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics.Builder builderForValue) { if (regressionEvaluationMetricsBuilder_ == null) { metrics_ = builderForValue.build(); onChanged(); } else { regressionEvaluationMetricsBuilder_.setMessage(builderForValue.build()); } metricsCase_ = 24; return this; } /** * * * 
     * Model evaluation metrics for Tables regression.
     * Tables problem is considered a regression when the target column
     * has FLOAT64 DataType.
     *
* * * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24; * */ public Builder mergeRegressionEvaluationMetrics( com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics value) { if (regressionEvaluationMetricsBuilder_ == null) { if (metricsCase_ == 24 && metrics_ != com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics .getDefaultInstance()) { metrics_ = com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics .newBuilder( (com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics) metrics_) .mergeFrom(value) .buildPartial(); } else { metrics_ = value; } onChanged(); } else { if (metricsCase_ == 24) { regressionEvaluationMetricsBuilder_.mergeFrom(value); } else { regressionEvaluationMetricsBuilder_.setMessage(value); } } metricsCase_ = 24; return this; } /** * * * 
     * Model evaluation metrics for Tables regression.
     * Tables problem is considered a regression when the target column
     * has FLOAT64 DataType.
     *
* * * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24; * */ public Builder clearRegressionEvaluationMetrics() { if (regressionEvaluationMetricsBuilder_ == null) { if (metricsCase_ == 24) { metricsCase_ = 0; metrics_ = null; onChanged(); } } else { if (metricsCase_ == 24) { metricsCase_ = 0; metrics_ = null; } regressionEvaluationMetricsBuilder_.clear(); } return this; } /** * * * 
     * Model evaluation metrics for Tables regression.
     * Tables problem is considered a regression when the target column
     * has FLOAT64 DataType.
     *
* * * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24; * */ public com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics.Builder getRegressionEvaluationMetricsBuilder() { return getRegressionEvaluationMetricsFieldBuilder().getBuilder(); } /** * * * 
     * Model evaluation metrics for Tables regression.
     * Tables problem is considered a regression when the target column
     * has FLOAT64 DataType.
     *
* * * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24; * */ @java.lang.Override public com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetricsOrBuilder getRegressionEvaluationMetricsOrBuilder() { if ((metricsCase_ == 24) && (regressionEvaluationMetricsBuilder_ != null)) { return regressionEvaluationMetricsBuilder_.getMessageOrBuilder(); } else { if (metricsCase_ == 24) { return (com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics) metrics_; } return com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics .getDefaultInstance(); } } /** * * * 
     * Model evaluation metrics for Tables regression.
     * Tables problem is considered a regression when the target column
     * has FLOAT64 DataType.
     *
* * * .google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24; * */ private com.google.protobuf.SingleFieldBuilderV3< com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics, com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics.Builder, com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetricsOrBuilder> getRegressionEvaluationMetricsFieldBuilder() { if (regressionEvaluationMetricsBuilder_ == null) { if (!(metricsCase_ == 24)) { metrics_ = com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics .getDefaultInstance(); } regressionEvaluationMetricsBuilder_ = new com.google.protobuf.SingleFieldBuilderV3< com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics, com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics.Builder, com.google.cloud.automl.v1beta1.RegressionProto .RegressionEvaluationMetricsOrBuilder>( (com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics) metrics_, getParentForChildren(), isClean()); metrics_ = null; } metricsCase_ = 24; onChanged(); return regressionEvaluationMetricsBuilder_; } private com.google.protobuf.SingleFieldBuilderV3< com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics, com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.Builder, com.google.cloud.automl.v1beta1.TranslationEvaluationMetricsOrBuilder> translationEvaluationMetricsBuilder_; /** * * * 
     * Model evaluation metrics for translation.
     *
* * * .google.cloud.automl.v1beta1.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.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9; * * * @return The translationEvaluationMetrics. */ @java.lang.Override public com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics getTranslationEvaluationMetrics() { if (translationEvaluationMetricsBuilder_ == null) { if (metricsCase_ == 9) { return (com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics) metrics_; } return com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.getDefaultInstance(); } else { if (metricsCase_ == 9) { return translationEvaluationMetricsBuilder_.getMessage(); } return com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.getDefaultInstance(); } } /** * * * 
     * Model evaluation metrics for translation.
     *
* * * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9; * */ public Builder setTranslationEvaluationMetrics( com.google.cloud.automl.v1beta1.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.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9; * */ public Builder setTranslationEvaluationMetrics( com.google.cloud.automl.v1beta1.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.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9; * */ public Builder mergeTranslationEvaluationMetrics( com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics value) { if (translationEvaluationMetricsBuilder_ == null) { if (metricsCase_ == 9 && metrics_ != com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics .getDefaultInstance()) { metrics_ = com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.newBuilder( (com.google.cloud.automl.v1beta1.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.v1beta1.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.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9; * */ public com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.Builder getTranslationEvaluationMetricsBuilder() { return getTranslationEvaluationMetricsFieldBuilder().getBuilder(); } /** * * * 
     * Model evaluation metrics for translation.
     *
* * * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9; * */ @java.lang.Override public com.google.cloud.automl.v1beta1.TranslationEvaluationMetricsOrBuilder getTranslationEvaluationMetricsOrBuilder() { if ((metricsCase_ == 9) && (translationEvaluationMetricsBuilder_ != null)) { return translationEvaluationMetricsBuilder_.getMessageOrBuilder(); } else { if (metricsCase_ == 9) { return (com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics) metrics_; } return com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.getDefaultInstance(); } } /** * * * 
     * Model evaluation metrics for translation.
     *
* * * .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9; * */ private com.google.protobuf.SingleFieldBuilderV3< com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics, com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.Builder, com.google.cloud.automl.v1beta1.TranslationEvaluationMetricsOrBuilder> getTranslationEvaluationMetricsFieldBuilder() { if (translationEvaluationMetricsBuilder_ == null) { if (!(metricsCase_ == 9)) { metrics_ = com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.getDefaultInstance(); } translationEvaluationMetricsBuilder_ = new com.google.protobuf.SingleFieldBuilderV3< com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics, com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.Builder, com.google.cloud.automl.v1beta1.TranslationEvaluationMetricsOrBuilder>( (com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics) metrics_, getParentForChildren(), isClean()); metrics_ = null; } metricsCase_ = 9; onChanged(); return translationEvaluationMetricsBuilder_; } private com.google.protobuf.SingleFieldBuilderV3< com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics, com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics.Builder, com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetricsOrBuilder> imageObjectDetectionEvaluationMetricsBuilder_; /** * * * 
     * Model evaluation metrics for image object detection.
     *
* * * .google.cloud.automl.v1beta1.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.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12; * * * @return The imageObjectDetectionEvaluationMetrics. */ @java.lang.Override public com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics getImageObjectDetectionEvaluationMetrics() { if (imageObjectDetectionEvaluationMetricsBuilder_ == null) { if (metricsCase_ == 12) { return (com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) metrics_; } return com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics .getDefaultInstance(); } else { if (metricsCase_ == 12) { return imageObjectDetectionEvaluationMetricsBuilder_.getMessage(); } return com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics .getDefaultInstance(); } } /** * * * 
     * Model evaluation metrics for image object detection.
     *
* * * .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12; * */ public Builder setImageObjectDetectionEvaluationMetrics( com.google.cloud.automl.v1beta1.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.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12; * */ public Builder setImageObjectDetectionEvaluationMetrics( com.google.cloud.automl.v1beta1.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.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12; * */ public Builder mergeImageObjectDetectionEvaluationMetrics( com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics value) { if (imageObjectDetectionEvaluationMetricsBuilder_ == null) { if (metricsCase_ == 12 && metrics_ != com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics .getDefaultInstance()) { metrics_ = com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics.newBuilder( (com.google.cloud.automl.v1beta1.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.v1beta1.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.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12; * */ public com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics.Builder getImageObjectDetectionEvaluationMetricsBuilder() { return getImageObjectDetectionEvaluationMetricsFieldBuilder().getBuilder(); } /** * * * 
     * Model evaluation metrics for image object detection.
     *
* * * .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12; * */ @java.lang.Override public com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetricsOrBuilder getImageObjectDetectionEvaluationMetricsOrBuilder() { if ((metricsCase_ == 12) && (imageObjectDetectionEvaluationMetricsBuilder_ != null)) { return imageObjectDetectionEvaluationMetricsBuilder_.getMessageOrBuilder(); } else { if (metricsCase_ == 12) { return (com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) metrics_; } return com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics .getDefaultInstance(); } } /** * * * 
     * Model evaluation metrics for image object detection.
     *
* * * .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12; * */ private com.google.protobuf.SingleFieldBuilderV3< com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics, com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics.Builder, com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetricsOrBuilder> getImageObjectDetectionEvaluationMetricsFieldBuilder() { if (imageObjectDetectionEvaluationMetricsBuilder_ == null) { if (!(metricsCase_ == 12)) { metrics_ = com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics .getDefaultInstance(); } imageObjectDetectionEvaluationMetricsBuilder_ = new com.google.protobuf.SingleFieldBuilderV3< com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics, com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics.Builder, com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetricsOrBuilder>( (com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics) metrics_, getParentForChildren(), isClean()); metrics_ = null; } metricsCase_ = 12; onChanged(); return imageObjectDetectionEvaluationMetricsBuilder_; } private com.google.protobuf.SingleFieldBuilderV3< com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics, com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics.Builder, com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetricsOrBuilder> videoObjectTrackingEvaluationMetricsBuilder_; /** * * * 
     * Model evaluation metrics for video object tracking.
     *
* * * .google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14; * * * @return Whether the videoObjectTrackingEvaluationMetrics field is set. */ @java.lang.Override public boolean hasVideoObjectTrackingEvaluationMetrics() { return metricsCase_ == 14; } /** * * * 
     * Model evaluation metrics for video object tracking.
     *
* * * .google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14; * * * @return The videoObjectTrackingEvaluationMetrics. */ @java.lang.Override public com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics getVideoObjectTrackingEvaluationMetrics() { if (videoObjectTrackingEvaluationMetricsBuilder_ == null) { if (metricsCase_ == 14) { return (com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics) metrics_; } return com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics .getDefaultInstance(); } else { if (metricsCase_ == 14) { return videoObjectTrackingEvaluationMetricsBuilder_.getMessage(); } return com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics .getDefaultInstance(); } } /** * * * 
     * Model evaluation metrics for video object tracking.
     *
* * * .google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14; * */ public Builder setVideoObjectTrackingEvaluationMetrics( com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics value) { if (videoObjectTrackingEvaluationMetricsBuilder_ == null) { if (value == null) { throw new NullPointerException(); } metrics_ = value; onChanged(); } else { videoObjectTrackingEvaluationMetricsBuilder_.setMessage(value); } metricsCase_ = 14; return this; } /** * * * 
     * Model evaluation metrics for video object tracking.
     *
* * * .google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14; * */ public Builder setVideoObjectTrackingEvaluationMetrics( com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics.Builder builderForValue) { if (videoObjectTrackingEvaluationMetricsBuilder_ == null) { metrics_ = builderForValue.build(); onChanged(); } else { videoObjectTrackingEvaluationMetricsBuilder_.setMessage(builderForValue.build()); } metricsCase_ = 14; return this; } /** * * * 
     * Model evaluation metrics for video object tracking.
     *
* * * .google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14; * */ public Builder mergeVideoObjectTrackingEvaluationMetrics( com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics value) { if (videoObjectTrackingEvaluationMetricsBuilder_ == null) { if (metricsCase_ == 14 && metrics_ != com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics .getDefaultInstance()) { metrics_ = com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics.newBuilder( (com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics) metrics_) .mergeFrom(value) .buildPartial(); } else { metrics_ = value; } onChanged(); } else { if (metricsCase_ == 14) { videoObjectTrackingEvaluationMetricsBuilder_.mergeFrom(value); } else { videoObjectTrackingEvaluationMetricsBuilder_.setMessage(value); } } metricsCase_ = 14; return this; } /** * * * 
     * Model evaluation metrics for video object tracking.
     *
* * * .google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14; * */ public Builder clearVideoObjectTrackingEvaluationMetrics() { if (videoObjectTrackingEvaluationMetricsBuilder_ == null) { if (metricsCase_ == 14) { metricsCase_ = 0; metrics_ = null; onChanged(); } } else { if (metricsCase_ == 14) { metricsCase_ = 0; metrics_ = null; } videoObjectTrackingEvaluationMetricsBuilder_.clear(); } return this; } /** * * * 
     * Model evaluation metrics for video object tracking.
     *
* * * .google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14; * */ public com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics.Builder getVideoObjectTrackingEvaluationMetricsBuilder() { return getVideoObjectTrackingEvaluationMetricsFieldBuilder().getBuilder(); } /** * * * 
     * Model evaluation metrics for video object tracking.
     *
* * * .google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14; * */ @java.lang.Override public com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetricsOrBuilder getVideoObjectTrackingEvaluationMetricsOrBuilder() { if ((metricsCase_ == 14) && (videoObjectTrackingEvaluationMetricsBuilder_ != null)) { return videoObjectTrackingEvaluationMetricsBuilder_.getMessageOrBuilder(); } else { if (metricsCase_ == 14) { return (com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics) metrics_; } return com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics .getDefaultInstance(); } } /** * * * 
     * Model evaluation metrics for video object tracking.
     *
* * * .google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14; * */ private com.google.protobuf.SingleFieldBuilderV3< com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics, com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics.Builder, com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetricsOrBuilder> getVideoObjectTrackingEvaluationMetricsFieldBuilder() { if (videoObjectTrackingEvaluationMetricsBuilder_ == null) { if (!(metricsCase_ == 14)) { metrics_ = com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics .getDefaultInstance(); } videoObjectTrackingEvaluationMetricsBuilder_ = new com.google.protobuf.SingleFieldBuilderV3< com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics, com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics.Builder, com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetricsOrBuilder>( (com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics) metrics_, getParentForChildren(), isClean()); metrics_ = null; } metricsCase_ = 14; onChanged(); return videoObjectTrackingEvaluationMetricsBuilder_; } private com.google.protobuf.SingleFieldBuilderV3< com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics, com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics .Builder, com.google.cloud.automl.v1beta1.TextSentimentProto .TextSentimentEvaluationMetricsOrBuilder> textSentimentEvaluationMetricsBuilder_; /** * * * 
     * Evaluation metrics for text sentiment models.
     *
* * * .google.cloud.automl.v1beta1.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.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11; * * * @return The textSentimentEvaluationMetrics. */ @java.lang.Override public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics getTextSentimentEvaluationMetrics() { if (textSentimentEvaluationMetricsBuilder_ == null) { if (metricsCase_ == 11) { return (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics) metrics_; } return com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics .getDefaultInstance(); } else { if (metricsCase_ == 11) { return textSentimentEvaluationMetricsBuilder_.getMessage(); } return com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics .getDefaultInstance(); } } /** * * * 
     * Evaluation metrics for text sentiment models.
     *
* * * .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11; * */ public Builder setTextSentimentEvaluationMetrics( com.google.cloud.automl.v1beta1.TextSentimentProto.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.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11; * */ public Builder setTextSentimentEvaluationMetrics( com.google.cloud.automl.v1beta1.TextSentimentProto.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.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11; * */ public Builder mergeTextSentimentEvaluationMetrics( com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics value) { if (textSentimentEvaluationMetricsBuilder_ == null) { if (metricsCase_ == 11 && metrics_ != com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics .getDefaultInstance()) { metrics_ = com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics .newBuilder( (com.google.cloud.automl.v1beta1.TextSentimentProto .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.v1beta1.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.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11; * */ public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics.Builder getTextSentimentEvaluationMetricsBuilder() { return getTextSentimentEvaluationMetricsFieldBuilder().getBuilder(); } /** * * * 
     * Evaluation metrics for text sentiment models.
     *
* * * .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11; * */ @java.lang.Override public com.google.cloud.automl.v1beta1.TextSentimentProto .TextSentimentEvaluationMetricsOrBuilder getTextSentimentEvaluationMetricsOrBuilder() { if ((metricsCase_ == 11) && (textSentimentEvaluationMetricsBuilder_ != null)) { return textSentimentEvaluationMetricsBuilder_.getMessageOrBuilder(); } else { if (metricsCase_ == 11) { return (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics) metrics_; } return com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics .getDefaultInstance(); } } /** * * * 
     * Evaluation metrics for text sentiment models.
     *
* * * .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11; * */ private com.google.protobuf.SingleFieldBuilderV3< com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics, com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics .Builder, com.google.cloud.automl.v1beta1.TextSentimentProto .TextSentimentEvaluationMetricsOrBuilder> getTextSentimentEvaluationMetricsFieldBuilder() { if (textSentimentEvaluationMetricsBuilder_ == null) { if (!(metricsCase_ == 11)) { metrics_ = com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics .getDefaultInstance(); } textSentimentEvaluationMetricsBuilder_ = new com.google.protobuf.SingleFieldBuilderV3< com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics, com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics .Builder, com.google.cloud.automl.v1beta1.TextSentimentProto .TextSentimentEvaluationMetricsOrBuilder>( (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics) metrics_, getParentForChildren(), isClean()); metrics_ = null; } metricsCase_ = 11; onChanged(); return textSentimentEvaluationMetricsBuilder_; } private com.google.protobuf.SingleFieldBuilderV3< com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics, com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.Builder, com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetricsOrBuilder> textExtractionEvaluationMetricsBuilder_; /** * * * 
     * Evaluation metrics for text extraction models.
     *
* * * .google.cloud.automl.v1beta1.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.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13; * * * @return The textExtractionEvaluationMetrics. */ @java.lang.Override public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics getTextExtractionEvaluationMetrics() { if (textExtractionEvaluationMetricsBuilder_ == null) { if (metricsCase_ == 13) { return (com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) metrics_; } return com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.getDefaultInstance(); } else { if (metricsCase_ == 13) { return textExtractionEvaluationMetricsBuilder_.getMessage(); } return com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.getDefaultInstance(); } } /** * * * 
     * Evaluation metrics for text extraction models.
     *
* * * .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13; * */ public Builder setTextExtractionEvaluationMetrics( com.google.cloud.automl.v1beta1.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.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13; * */ public Builder setTextExtractionEvaluationMetrics( com.google.cloud.automl.v1beta1.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.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13; * */ public Builder mergeTextExtractionEvaluationMetrics( com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics value) { if (textExtractionEvaluationMetricsBuilder_ == null) { if (metricsCase_ == 13 && metrics_ != com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics .getDefaultInstance()) { metrics_ = com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.newBuilder( (com.google.cloud.automl.v1beta1.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.v1beta1.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.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13; * */ public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.Builder getTextExtractionEvaluationMetricsBuilder() { return getTextExtractionEvaluationMetricsFieldBuilder().getBuilder(); } /** * * * 
     * Evaluation metrics for text extraction models.
     *
* * * .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13; * */ @java.lang.Override public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetricsOrBuilder getTextExtractionEvaluationMetricsOrBuilder() { if ((metricsCase_ == 13) && (textExtractionEvaluationMetricsBuilder_ != null)) { return textExtractionEvaluationMetricsBuilder_.getMessageOrBuilder(); } else { if (metricsCase_ == 13) { return (com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) metrics_; } return com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.getDefaultInstance(); } } /** * * * 
     * Evaluation metrics for text extraction models.
     *
* * * .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13; * */ private com.google.protobuf.SingleFieldBuilderV3< com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics, com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.Builder, com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetricsOrBuilder> getTextExtractionEvaluationMetricsFieldBuilder() { if (textExtractionEvaluationMetricsBuilder_ == null) { if (!(metricsCase_ == 13)) { metrics_ = com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.getDefaultInstance(); } textExtractionEvaluationMetricsBuilder_ = new com.google.protobuf.SingleFieldBuilderV3< com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics, com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.Builder, com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetricsOrBuilder>( (com.google.cloud.automl.v1beta1.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_ |= 0x00000080; 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_ & ~0x00000080); 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_ |= 0x00000080; 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.v1beta1.TablesModelMetadata.prediction_type]
     * the
     * [display_name][google.cloud.automl.v1beta1.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.v1beta1.TablesModelMetadata.prediction_type]
     * the
     * [display_name][google.cloud.automl.v1beta1.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.v1beta1.TablesModelMetadata.prediction_type]
     * the
     * [display_name][google.cloud.automl.v1beta1.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_ |= 0x00000100; 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.v1beta1.TablesModelMetadata.prediction_type]
     * the
     * [display_name][google.cloud.automl.v1beta1.ModelEvaluation.display_name]
     * field is used.
     *
* * string annotation_spec_id = 2; * * @return This builder for chaining. */ public Builder clearAnnotationSpecId() { annotationSpecId_ = getDefaultInstance().getAnnotationSpecId(); bitField0_ = (bitField0_ & ~0x00000100); 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.v1beta1.TablesModelMetadata.prediction_type]
     * the
     * [display_name][google.cloud.automl.v1beta1.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_ |= 0x00000100; onChanged(); return this; } private java.lang.Object displayName_ = ""; /** * * * 
     * Output only. The value of
     * [display_name][google.cloud.automl.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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_ |= 0x00000200; onChanged(); return this; } /** * * * 
     * Output only. The value of
     * [display_name][google.cloud.automl.v1beta1.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.v1beta1.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_ & ~0x00000200); onChanged(); return this; } /** * * * 
     * Output only. The value of
     * [display_name][google.cloud.automl.v1beta1.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.v1beta1.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_ |= 0x00000200; 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_ & 0x00000400) != 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_ |= 0x00000400; 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_ |= 0x00000400; 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_ & 0x00000400) != 0) && createTime_ != null && createTime_ != com.google.protobuf.Timestamp.getDefaultInstance()) { getCreateTimeBuilder().mergeFrom(value); } else { createTime_ = value; } } else { createTimeBuilder_.mergeFrom(value); } bitField0_ |= 0x00000400; onChanged(); return this; } /** * * * 
     * Output only. Timestamp when this model evaluation was created.
     *
* * .google.protobuf.Timestamp create_time = 5; */ public Builder clearCreateTime() { bitField0_ = (bitField0_ & ~0x00000400); 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_ |= 0x00000400; 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.v1beta1.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.v1beta1.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_ |= 0x00000800; 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.v1beta1.ModelEvaluation.annotation_spec_id].
     *
* * int32 evaluated_example_count = 6; * * @return This builder for chaining. */ public Builder clearEvaluatedExampleCount() { bitField0_ = (bitField0_ & ~0x00000800); 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.v1beta1.ModelEvaluation) } // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ModelEvaluation) private static final com.google.cloud.automl.v1beta1.ModelEvaluation DEFAULT_INSTANCE; static { DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ModelEvaluation(); } public static com.google.cloud.automl.v1beta1.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.v1beta1.ModelEvaluation getDefaultInstanceForType() { return DEFAULT_INSTANCE; } }