Package com.google.cloud.automl.v1beta1

Class ModelEvaluation.Builder

  • All Implemented Interfaces:
    ModelEvaluationOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable
    Enclosing class:
    ModelEvaluation
    public static final class ModelEvaluation.Builder
extends com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>
implements ModelEvaluationOrBuilder
     Evaluation results of a model.
    Protobuf type google.cloud.automl.v1beta1.ModelEvaluation

    • Method Detail

      • getDescriptor

        public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

      • internalGetFieldAccessorTable

        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
        Specified by:
        internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>

      • clear

        public ModelEvaluation.Builder clear()
        Specified by:
        clear in interface com.google.protobuf.Message.Builder
        Specified by:
        clear in interface com.google.protobuf.MessageLite.Builder
        Overrides:
        clear in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>

      • getDescriptorForType

        public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
        Specified by:
        getDescriptorForType in interface com.google.protobuf.Message.Builder
        Specified by:
        getDescriptorForType in interface com.google.protobuf.MessageOrBuilder
        Overrides:
        getDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>

      • getDefaultInstanceForType

        public ModelEvaluation getDefaultInstanceForType()
        Specified by:
        getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
        Specified by:
        getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

      • build

        public ModelEvaluation build()
        Specified by:
        build in interface com.google.protobuf.Message.Builder
        Specified by:
        build in interface com.google.protobuf.MessageLite.Builder

      • buildPartial

        public ModelEvaluation buildPartial()
        Specified by:
        buildPartial in interface com.google.protobuf.Message.Builder
        Specified by:
        buildPartial in interface com.google.protobuf.MessageLite.Builder

      • clone

        public ModelEvaluation.Builder clone()
        Specified by:
        clone in interface com.google.protobuf.Message.Builder
        Specified by:
        clone in interface com.google.protobuf.MessageLite.Builder
        Overrides:
        clone in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>

      • setField

        public ModelEvaluation.Builder setField​(com.google.protobuf.Descriptors.FieldDescriptor field,
                                        Object value)
        Specified by:
        setField in interface com.google.protobuf.Message.Builder
        Overrides:
        setField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>

      • clearField

        public ModelEvaluation.Builder clearField​(com.google.protobuf.Descriptors.FieldDescriptor field)
        Specified by:
        clearField in interface com.google.protobuf.Message.Builder
        Overrides:
        clearField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>

      • clearOneof

        public ModelEvaluation.Builder clearOneof​(com.google.protobuf.Descriptors.OneofDescriptor oneof)
        Specified by:
        clearOneof in interface com.google.protobuf.Message.Builder
        Overrides:
        clearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>

      • setRepeatedField

        public ModelEvaluation.Builder setRepeatedField​(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                int index,
                                                Object value)
        Specified by:
        setRepeatedField in interface com.google.protobuf.Message.Builder
        Overrides:
        setRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>

      • addRepeatedField

        public ModelEvaluation.Builder addRepeatedField​(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                Object value)
        Specified by:
        addRepeatedField in interface com.google.protobuf.Message.Builder
        Overrides:
        addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>

      • mergeFrom

        public ModelEvaluation.Builder mergeFrom​(com.google.protobuf.Message other)
        Specified by:
        mergeFrom in interface com.google.protobuf.Message.Builder
        Overrides:
        mergeFrom in class com.google.protobuf.AbstractMessage.Builder<ModelEvaluation.Builder>

      • isInitialized

        public final boolean isInitialized()
        Specified by:
        isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
        Overrides:
        isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>

      • mergeFrom

        public ModelEvaluation.Builder mergeFrom​(com.google.protobuf.CodedInputStream input,
                                         com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                  throws IOException
        Specified by:
        mergeFrom in interface com.google.protobuf.Message.Builder
        Specified by:
        mergeFrom in interface com.google.protobuf.MessageLite.Builder
        Overrides:
        mergeFrom in class com.google.protobuf.AbstractMessage.Builder<ModelEvaluation.Builder>
        Throws:
        IOException

      • hasClassificationEvaluationMetrics

        public boolean hasClassificationEvaluationMetrics()
         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;
        Specified by:
        hasClassificationEvaluationMetrics in interface ModelEvaluationOrBuilder
        Returns:
        Whether the classificationEvaluationMetrics field is set.

      • setClassificationEvaluationMetrics

        public ModelEvaluation.Builder setClassificationEvaluationMetrics​(ClassificationProto.ClassificationEvaluationMetrics value)
         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;

      • setClassificationEvaluationMetrics

        public ModelEvaluation.Builder setClassificationEvaluationMetrics​(ClassificationProto.ClassificationEvaluationMetrics.Builder builderForValue)
         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;

      • mergeClassificationEvaluationMetrics

        public ModelEvaluation.Builder mergeClassificationEvaluationMetrics​(ClassificationProto.ClassificationEvaluationMetrics value)
         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;

      • clearClassificationEvaluationMetrics

        public ModelEvaluation.Builder clearClassificationEvaluationMetrics()
         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;

      • getClassificationEvaluationMetricsBuilder

        public ClassificationProto.ClassificationEvaluationMetrics.Builder getClassificationEvaluationMetricsBuilder()
         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;

      • hasRegressionEvaluationMetrics

        public boolean hasRegressionEvaluationMetrics()
         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;
        Specified by:
        hasRegressionEvaluationMetrics in interface ModelEvaluationOrBuilder
        Returns:
        Whether the regressionEvaluationMetrics field is set.

      • setRegressionEvaluationMetrics

        public ModelEvaluation.Builder setRegressionEvaluationMetrics​(RegressionProto.RegressionEvaluationMetrics value)
         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;

      • setRegressionEvaluationMetrics

        public ModelEvaluation.Builder setRegressionEvaluationMetrics​(RegressionProto.RegressionEvaluationMetrics.Builder builderForValue)
         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;

      • mergeRegressionEvaluationMetrics

        public ModelEvaluation.Builder mergeRegressionEvaluationMetrics​(RegressionProto.RegressionEvaluationMetrics value)
         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;

      • clearRegressionEvaluationMetrics

        public ModelEvaluation.Builder clearRegressionEvaluationMetrics()
         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;

      • getRegressionEvaluationMetricsBuilder

        public RegressionProto.RegressionEvaluationMetrics.Builder getRegressionEvaluationMetricsBuilder()
         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;

      • hasTranslationEvaluationMetrics

        public boolean hasTranslationEvaluationMetrics()
         Model evaluation metrics for translation.
        .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
        Specified by:
        hasTranslationEvaluationMetrics in interface ModelEvaluationOrBuilder
        Returns:
        Whether the translationEvaluationMetrics field is set.

      • setTranslationEvaluationMetrics

        public ModelEvaluation.Builder setTranslationEvaluationMetrics​(TranslationEvaluationMetrics value)
         Model evaluation metrics for translation.
        .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;

      • mergeTranslationEvaluationMetrics

        public ModelEvaluation.Builder mergeTranslationEvaluationMetrics​(TranslationEvaluationMetrics value)
         Model evaluation metrics for translation.
        .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;

      • clearTranslationEvaluationMetrics

        public ModelEvaluation.Builder clearTranslationEvaluationMetrics()
         Model evaluation metrics for translation.
        .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;

      • getTranslationEvaluationMetricsBuilder

        public TranslationEvaluationMetrics.Builder getTranslationEvaluationMetricsBuilder()
         Model evaluation metrics for translation.
        .google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;

      • hasImageObjectDetectionEvaluationMetrics

        public boolean hasImageObjectDetectionEvaluationMetrics()
         Model evaluation metrics for image object detection.
        .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
        Specified by:
        hasImageObjectDetectionEvaluationMetrics in interface ModelEvaluationOrBuilder
        Returns:
        Whether the imageObjectDetectionEvaluationMetrics field is set.

      • setImageObjectDetectionEvaluationMetrics

        public ModelEvaluation.Builder setImageObjectDetectionEvaluationMetrics​(ImageObjectDetectionEvaluationMetrics value)
         Model evaluation metrics for image object detection.
        .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;

      • setImageObjectDetectionEvaluationMetrics

        public ModelEvaluation.Builder setImageObjectDetectionEvaluationMetrics​(ImageObjectDetectionEvaluationMetrics.Builder builderForValue)
         Model evaluation metrics for image object detection.
        .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;

      • mergeImageObjectDetectionEvaluationMetrics

        public ModelEvaluation.Builder mergeImageObjectDetectionEvaluationMetrics​(ImageObjectDetectionEvaluationMetrics value)
         Model evaluation metrics for image object detection.
        .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;

      • clearImageObjectDetectionEvaluationMetrics

        public ModelEvaluation.Builder clearImageObjectDetectionEvaluationMetrics()
         Model evaluation metrics for image object detection.
        .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;

      • getImageObjectDetectionEvaluationMetricsBuilder

        public ImageObjectDetectionEvaluationMetrics.Builder getImageObjectDetectionEvaluationMetricsBuilder()
         Model evaluation metrics for image object detection.
        .google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;

      • hasVideoObjectTrackingEvaluationMetrics

        public boolean hasVideoObjectTrackingEvaluationMetrics()
         Model evaluation metrics for video object tracking.
        .google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14;
        Specified by:
        hasVideoObjectTrackingEvaluationMetrics in interface ModelEvaluationOrBuilder
        Returns:
        Whether the videoObjectTrackingEvaluationMetrics field is set.

      • setVideoObjectTrackingEvaluationMetrics

        public ModelEvaluation.Builder setVideoObjectTrackingEvaluationMetrics​(VideoObjectTrackingEvaluationMetrics value)
         Model evaluation metrics for video object tracking.
        .google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14;

      • setVideoObjectTrackingEvaluationMetrics

        public ModelEvaluation.Builder setVideoObjectTrackingEvaluationMetrics​(VideoObjectTrackingEvaluationMetrics.Builder builderForValue)
         Model evaluation metrics for video object tracking.
        .google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14;

      • mergeVideoObjectTrackingEvaluationMetrics

        public ModelEvaluation.Builder mergeVideoObjectTrackingEvaluationMetrics​(VideoObjectTrackingEvaluationMetrics value)
         Model evaluation metrics for video object tracking.
        .google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14;

      • clearVideoObjectTrackingEvaluationMetrics

        public ModelEvaluation.Builder clearVideoObjectTrackingEvaluationMetrics()
         Model evaluation metrics for video object tracking.
        .google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14;

      • getVideoObjectTrackingEvaluationMetricsBuilder

        public VideoObjectTrackingEvaluationMetrics.Builder getVideoObjectTrackingEvaluationMetricsBuilder()
         Model evaluation metrics for video object tracking.
        .google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14;

      • hasTextSentimentEvaluationMetrics

        public boolean hasTextSentimentEvaluationMetrics()
         Evaluation metrics for text sentiment models.
        .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
        Specified by:
        hasTextSentimentEvaluationMetrics in interface ModelEvaluationOrBuilder
        Returns:
        Whether the textSentimentEvaluationMetrics field is set.

      • clearTextSentimentEvaluationMetrics

        public ModelEvaluation.Builder clearTextSentimentEvaluationMetrics()
         Evaluation metrics for text sentiment models.
        .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;

      • getTextSentimentEvaluationMetricsBuilder

        public TextSentimentProto.TextSentimentEvaluationMetrics.Builder getTextSentimentEvaluationMetricsBuilder()
         Evaluation metrics for text sentiment models.
        .google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;

      • hasTextExtractionEvaluationMetrics

        public boolean hasTextExtractionEvaluationMetrics()
         Evaluation metrics for text extraction models.
        .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
        Specified by:
        hasTextExtractionEvaluationMetrics in interface ModelEvaluationOrBuilder
        Returns:
        Whether the textExtractionEvaluationMetrics field is set.

      • setTextExtractionEvaluationMetrics

        public ModelEvaluation.Builder setTextExtractionEvaluationMetrics​(TextExtractionEvaluationMetrics value)
         Evaluation metrics for text extraction models.
        .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;

      • setTextExtractionEvaluationMetrics

        public ModelEvaluation.Builder setTextExtractionEvaluationMetrics​(TextExtractionEvaluationMetrics.Builder builderForValue)
         Evaluation metrics for text extraction models.
        .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;

      • mergeTextExtractionEvaluationMetrics

        public ModelEvaluation.Builder mergeTextExtractionEvaluationMetrics​(TextExtractionEvaluationMetrics value)
         Evaluation metrics for text extraction models.
        .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;

      • clearTextExtractionEvaluationMetrics

        public ModelEvaluation.Builder clearTextExtractionEvaluationMetrics()
         Evaluation metrics for text extraction models.
        .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;

      • getTextExtractionEvaluationMetricsBuilder

        public TextExtractionEvaluationMetrics.Builder getTextExtractionEvaluationMetricsBuilder()
         Evaluation metrics for text extraction models.
        .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;

      • getName

        public String getName()
         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;
        Specified by:
        getName in interface ModelEvaluationOrBuilder
        Returns:
        The name.

      • getNameBytes

        public com.google.protobuf.ByteString getNameBytes()
         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;
        Specified by:
        getNameBytes in interface ModelEvaluationOrBuilder
        Returns:
        The bytes for name.

      • setName

        public ModelEvaluation.Builder setName​(String value)
         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;
        Parameters:
        value - The name to set.
        Returns:
        This builder for chaining.

      • clearName

        public ModelEvaluation.Builder clearName()
         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;
        Returns:
        This builder for chaining.

      • setNameBytes

        public ModelEvaluation.Builder setNameBytes​(com.google.protobuf.ByteString value)
         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;
        Parameters:
        value - The bytes for name to set.
        Returns:
        This builder for chaining.

      • getAnnotationSpecId

        public String getAnnotationSpecId()
         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;
        Specified by:
        getAnnotationSpecId in interface ModelEvaluationOrBuilder
        Returns:
        The annotationSpecId.

      • getAnnotationSpecIdBytes

        public com.google.protobuf.ByteString getAnnotationSpecIdBytes()
         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;
        Specified by:
        getAnnotationSpecIdBytes in interface ModelEvaluationOrBuilder
        Returns:
        The bytes for annotationSpecId.

      • setAnnotationSpecId

        public ModelEvaluation.Builder setAnnotationSpecId​(String value)
         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;
        Parameters:
        value - The annotationSpecId to set.
        Returns:
        This builder for chaining.

      • clearAnnotationSpecId

        public ModelEvaluation.Builder clearAnnotationSpecId()
         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;
        Returns:
        This builder for chaining.

      • setAnnotationSpecIdBytes

        public ModelEvaluation.Builder setAnnotationSpecIdBytes​(com.google.protobuf.ByteString value)
         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;
        Parameters:
        value - The bytes for annotationSpecId to set.
        Returns:
        This builder for chaining.

      • getDisplayName

        public String getDisplayName()
         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;
        Specified by:
        getDisplayName in interface ModelEvaluationOrBuilder
        Returns:
        The displayName.

      • getDisplayNameBytes

        public com.google.protobuf.ByteString getDisplayNameBytes()
         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;
        Specified by:
        getDisplayNameBytes in interface ModelEvaluationOrBuilder
        Returns:
        The bytes for displayName.

      • setDisplayName

        public ModelEvaluation.Builder setDisplayName​(String value)
         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;
        Parameters:
        value - The displayName to set.
        Returns:
        This builder for chaining.

      • clearDisplayName

        public ModelEvaluation.Builder clearDisplayName()
         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;
        Returns:
        This builder for chaining.

      • setDisplayNameBytes

        public ModelEvaluation.Builder setDisplayNameBytes​(com.google.protobuf.ByteString value)
         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;
        Parameters:
        value - The bytes for displayName to set.
        Returns:
        This builder for chaining.

      • hasCreateTime

        public boolean hasCreateTime()
         Output only. Timestamp when this model evaluation was created.
        .google.protobuf.Timestamp create_time = 5;
        Specified by:
        hasCreateTime in interface ModelEvaluationOrBuilder
        Returns:
        Whether the createTime field is set.

      • getCreateTime

        public com.google.protobuf.Timestamp getCreateTime()
         Output only. Timestamp when this model evaluation was created.
        .google.protobuf.Timestamp create_time = 5;
        Specified by:
        getCreateTime in interface ModelEvaluationOrBuilder
        Returns:
        The createTime.

      • setCreateTime

        public ModelEvaluation.Builder setCreateTime​(com.google.protobuf.Timestamp value)
         Output only. Timestamp when this model evaluation was created.
        .google.protobuf.Timestamp create_time = 5;

      • setCreateTime

        public ModelEvaluation.Builder setCreateTime​(com.google.protobuf.Timestamp.Builder builderForValue)
         Output only. Timestamp when this model evaluation was created.
        .google.protobuf.Timestamp create_time = 5;

      • mergeCreateTime

        public ModelEvaluation.Builder mergeCreateTime​(com.google.protobuf.Timestamp value)
         Output only. Timestamp when this model evaluation was created.
        .google.protobuf.Timestamp create_time = 5;

      • clearCreateTime

        public ModelEvaluation.Builder clearCreateTime()
         Output only. Timestamp when this model evaluation was created.
        .google.protobuf.Timestamp create_time = 5;

      • getCreateTimeBuilder

        public com.google.protobuf.Timestamp.Builder getCreateTimeBuilder()
         Output only. Timestamp when this model evaluation was created.
        .google.protobuf.Timestamp create_time = 5;

      • getCreateTimeOrBuilder

        public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder()
         Output only. Timestamp when this model evaluation was created.
        .google.protobuf.Timestamp create_time = 5;
        Specified by:
        getCreateTimeOrBuilder in interface ModelEvaluationOrBuilder

      • getEvaluatedExampleCount

        public int getEvaluatedExampleCount()
         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;
        Specified by:
        getEvaluatedExampleCount in interface ModelEvaluationOrBuilder
        Returns:
        The evaluatedExampleCount.

      • setEvaluatedExampleCount

        public ModelEvaluation.Builder setEvaluatedExampleCount​(int value)
         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;
        Parameters:
        value - The evaluatedExampleCount to set.
        Returns:
        This builder for chaining.

      • clearEvaluatedExampleCount

        public ModelEvaluation.Builder clearEvaluatedExampleCount()
         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;
        Returns:
        This builder for chaining.

      • setUnknownFields

        public final ModelEvaluation.Builder setUnknownFields​(com.google.protobuf.UnknownFieldSet unknownFields)
        Specified by:
        setUnknownFields in interface com.google.protobuf.Message.Builder
        Overrides:
        setUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>

      • mergeUnknownFields

        public final ModelEvaluation.Builder mergeUnknownFields​(com.google.protobuf.UnknownFieldSet unknownFields)
        Specified by:
        mergeUnknownFields in interface com.google.protobuf.Message.Builder
        Overrides:
        mergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>