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.v1.ModelEvaluationgetAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, internalGetMutableMapField, internalGetMutableMapFieldReflection, isClean, markClean, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setUnknownFieldSetBuilder, setUnknownFieldsProto3findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toStringaddAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, newUninitializedMessageExceptionequals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitpublic static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>public ModelEvaluation.Builder clear()
clear in interface com.google.protobuf.Message.Builderclear in interface com.google.protobuf.MessageLite.Builderclear in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
getDescriptorForType in interface com.google.protobuf.Message.BuildergetDescriptorForType in interface com.google.protobuf.MessageOrBuildergetDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>public ModelEvaluation getDefaultInstanceForType()
getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuildergetDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilderpublic ModelEvaluation build()
build in interface com.google.protobuf.Message.Builderbuild in interface com.google.protobuf.MessageLite.Builderpublic ModelEvaluation buildPartial()
buildPartial in interface com.google.protobuf.Message.BuilderbuildPartial in interface com.google.protobuf.MessageLite.Builderpublic ModelEvaluation.Builder clone()
clone in interface com.google.protobuf.Message.Builderclone in interface com.google.protobuf.MessageLite.Builderclone in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>public ModelEvaluation.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
setField in interface com.google.protobuf.Message.BuildersetField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>public ModelEvaluation.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
clearField in interface com.google.protobuf.Message.BuilderclearField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>public ModelEvaluation.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
clearOneof in interface com.google.protobuf.Message.BuilderclearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>public ModelEvaluation.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
setRepeatedField in interface com.google.protobuf.Message.BuildersetRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>public ModelEvaluation.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
addRepeatedField in interface com.google.protobuf.Message.BuilderaddRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>public ModelEvaluation.Builder mergeFrom(com.google.protobuf.Message other)
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<ModelEvaluation.Builder>public ModelEvaluation.Builder mergeFrom(ModelEvaluation other)
public final boolean isInitialized()
isInitialized in interface com.google.protobuf.MessageLiteOrBuilderisInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>public ModelEvaluation.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in interface com.google.protobuf.MessageLite.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<ModelEvaluation.Builder>IOExceptionpublic ModelEvaluation.MetricsCase getMetricsCase()
getMetricsCase in interface ModelEvaluationOrBuilderpublic ModelEvaluation.Builder clearMetrics()
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.v1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
hasClassificationEvaluationMetrics in interface ModelEvaluationOrBuilderpublic ClassificationEvaluationMetrics getClassificationEvaluationMetrics()
Model evaluation metrics for image, text, video and tables classification. Tables problem is considered a classification when the target column is CATEGORY DataType.
.google.cloud.automl.v1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
getClassificationEvaluationMetrics in interface ModelEvaluationOrBuilderpublic ModelEvaluation.Builder setClassificationEvaluationMetrics(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.v1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
public ModelEvaluation.Builder setClassificationEvaluationMetrics(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.v1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
public ModelEvaluation.Builder mergeClassificationEvaluationMetrics(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.v1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
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.v1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
public 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.v1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
public ClassificationEvaluationMetricsOrBuilder getClassificationEvaluationMetricsOrBuilder()
Model evaluation metrics for image, text, video and tables classification. Tables problem is considered a classification when the target column is CATEGORY DataType.
.google.cloud.automl.v1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
getClassificationEvaluationMetricsOrBuilder in interface ModelEvaluationOrBuilderpublic boolean hasTranslationEvaluationMetrics()
Model evaluation metrics for translation.
.google.cloud.automl.v1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
hasTranslationEvaluationMetrics in interface ModelEvaluationOrBuilderpublic TranslationEvaluationMetrics getTranslationEvaluationMetrics()
Model evaluation metrics for translation.
.google.cloud.automl.v1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
getTranslationEvaluationMetrics in interface ModelEvaluationOrBuilderpublic ModelEvaluation.Builder setTranslationEvaluationMetrics(TranslationEvaluationMetrics value)
Model evaluation metrics for translation.
.google.cloud.automl.v1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
public ModelEvaluation.Builder setTranslationEvaluationMetrics(TranslationEvaluationMetrics.Builder builderForValue)
Model evaluation metrics for translation.
.google.cloud.automl.v1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
public ModelEvaluation.Builder mergeTranslationEvaluationMetrics(TranslationEvaluationMetrics value)
Model evaluation metrics for translation.
.google.cloud.automl.v1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
public ModelEvaluation.Builder clearTranslationEvaluationMetrics()
Model evaluation metrics for translation.
.google.cloud.automl.v1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
public TranslationEvaluationMetrics.Builder getTranslationEvaluationMetricsBuilder()
Model evaluation metrics for translation.
.google.cloud.automl.v1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
public TranslationEvaluationMetricsOrBuilder getTranslationEvaluationMetricsOrBuilder()
Model evaluation metrics for translation.
.google.cloud.automl.v1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
getTranslationEvaluationMetricsOrBuilder in interface ModelEvaluationOrBuilderpublic boolean hasImageObjectDetectionEvaluationMetrics()
Model evaluation metrics for image object detection.
.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
hasImageObjectDetectionEvaluationMetrics in interface ModelEvaluationOrBuilderpublic ImageObjectDetectionEvaluationMetrics getImageObjectDetectionEvaluationMetrics()
Model evaluation metrics for image object detection.
.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
getImageObjectDetectionEvaluationMetrics in interface ModelEvaluationOrBuilderpublic ModelEvaluation.Builder setImageObjectDetectionEvaluationMetrics(ImageObjectDetectionEvaluationMetrics value)
Model evaluation metrics for image object detection.
.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
public ModelEvaluation.Builder setImageObjectDetectionEvaluationMetrics(ImageObjectDetectionEvaluationMetrics.Builder builderForValue)
Model evaluation metrics for image object detection.
.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
public ModelEvaluation.Builder mergeImageObjectDetectionEvaluationMetrics(ImageObjectDetectionEvaluationMetrics value)
Model evaluation metrics for image object detection.
.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
public ModelEvaluation.Builder clearImageObjectDetectionEvaluationMetrics()
Model evaluation metrics for image object detection.
.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
public ImageObjectDetectionEvaluationMetrics.Builder getImageObjectDetectionEvaluationMetricsBuilder()
Model evaluation metrics for image object detection.
.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
public ImageObjectDetectionEvaluationMetricsOrBuilder getImageObjectDetectionEvaluationMetricsOrBuilder()
Model evaluation metrics for image object detection.
.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
getImageObjectDetectionEvaluationMetricsOrBuilder in interface ModelEvaluationOrBuilderpublic boolean hasTextSentimentEvaluationMetrics()
Evaluation metrics for text sentiment models.
.google.cloud.automl.v1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
hasTextSentimentEvaluationMetrics in interface ModelEvaluationOrBuilderpublic TextSentimentEvaluationMetrics getTextSentimentEvaluationMetrics()
Evaluation metrics for text sentiment models.
.google.cloud.automl.v1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
getTextSentimentEvaluationMetrics in interface ModelEvaluationOrBuilderpublic ModelEvaluation.Builder setTextSentimentEvaluationMetrics(TextSentimentEvaluationMetrics value)
Evaluation metrics for text sentiment models.
.google.cloud.automl.v1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
public ModelEvaluation.Builder setTextSentimentEvaluationMetrics(TextSentimentEvaluationMetrics.Builder builderForValue)
Evaluation metrics for text sentiment models.
.google.cloud.automl.v1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
public ModelEvaluation.Builder mergeTextSentimentEvaluationMetrics(TextSentimentEvaluationMetrics value)
Evaluation metrics for text sentiment models.
.google.cloud.automl.v1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
public ModelEvaluation.Builder clearTextSentimentEvaluationMetrics()
Evaluation metrics for text sentiment models.
.google.cloud.automl.v1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
public TextSentimentEvaluationMetrics.Builder getTextSentimentEvaluationMetricsBuilder()
Evaluation metrics for text sentiment models.
.google.cloud.automl.v1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
public TextSentimentEvaluationMetricsOrBuilder getTextSentimentEvaluationMetricsOrBuilder()
Evaluation metrics for text sentiment models.
.google.cloud.automl.v1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
getTextSentimentEvaluationMetricsOrBuilder in interface ModelEvaluationOrBuilderpublic boolean hasTextExtractionEvaluationMetrics()
Evaluation metrics for text extraction models.
.google.cloud.automl.v1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
hasTextExtractionEvaluationMetrics in interface ModelEvaluationOrBuilderpublic TextExtractionEvaluationMetrics getTextExtractionEvaluationMetrics()
Evaluation metrics for text extraction models.
.google.cloud.automl.v1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
getTextExtractionEvaluationMetrics in interface ModelEvaluationOrBuilderpublic ModelEvaluation.Builder setTextExtractionEvaluationMetrics(TextExtractionEvaluationMetrics value)
Evaluation metrics for text extraction models.
.google.cloud.automl.v1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
public ModelEvaluation.Builder setTextExtractionEvaluationMetrics(TextExtractionEvaluationMetrics.Builder builderForValue)
Evaluation metrics for text extraction models.
.google.cloud.automl.v1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
public ModelEvaluation.Builder mergeTextExtractionEvaluationMetrics(TextExtractionEvaluationMetrics value)
Evaluation metrics for text extraction models.
.google.cloud.automl.v1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
public ModelEvaluation.Builder clearTextExtractionEvaluationMetrics()
Evaluation metrics for text extraction models.
.google.cloud.automl.v1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
public TextExtractionEvaluationMetrics.Builder getTextExtractionEvaluationMetricsBuilder()
Evaluation metrics for text extraction models.
.google.cloud.automl.v1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
public TextExtractionEvaluationMetricsOrBuilder getTextExtractionEvaluationMetricsOrBuilder()
Evaluation metrics for text extraction models.
.google.cloud.automl.v1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
getTextExtractionEvaluationMetricsOrBuilder in interface ModelEvaluationOrBuilderpublic 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;getName in interface ModelEvaluationOrBuilderpublic 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;getNameBytes in interface ModelEvaluationOrBuilderpublic 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;value - The name to set.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;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;value - The bytes for name to set.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.v1.TablesModelMetadata.prediction_type] the [display_name][google.cloud.automl.v1.ModelEvaluation.display_name] field is used.
string annotation_spec_id = 2;getAnnotationSpecId in interface ModelEvaluationOrBuilderpublic 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.v1.TablesModelMetadata.prediction_type] the [display_name][google.cloud.automl.v1.ModelEvaluation.display_name] field is used.
string annotation_spec_id = 2;getAnnotationSpecIdBytes in interface ModelEvaluationOrBuilderpublic 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.v1.TablesModelMetadata.prediction_type] the [display_name][google.cloud.automl.v1.ModelEvaluation.display_name] field is used.
string annotation_spec_id = 2;value - The annotationSpecId to set.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.v1.TablesModelMetadata.prediction_type] the [display_name][google.cloud.automl.v1.ModelEvaluation.display_name] field is used.
string annotation_spec_id = 2;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.v1.TablesModelMetadata.prediction_type] the [display_name][google.cloud.automl.v1.ModelEvaluation.display_name] field is used.
string annotation_spec_id = 2;value - The bytes for annotationSpecId to set.public String getDisplayName()
Output only. The value of [display_name][google.cloud.automl.v1.AnnotationSpec.display_name] at the moment when the model was trained. Because this field returns a value at model training time, for different models trained from the same dataset, the values may differ, since display names could had been changed between the two model's trainings. For Tables CLASSIFICATION [prediction_type-s][google.cloud.automl.v1.TablesModelMetadata.prediction_type] distinct values of the target column at the moment of the model evaluation are populated here. The display_name is empty for the overall model evaluation.
string display_name = 15;getDisplayName in interface ModelEvaluationOrBuilderpublic com.google.protobuf.ByteString getDisplayNameBytes()
Output only. The value of [display_name][google.cloud.automl.v1.AnnotationSpec.display_name] at the moment when the model was trained. Because this field returns a value at model training time, for different models trained from the same dataset, the values may differ, since display names could had been changed between the two model's trainings. For Tables CLASSIFICATION [prediction_type-s][google.cloud.automl.v1.TablesModelMetadata.prediction_type] distinct values of the target column at the moment of the model evaluation are populated here. The display_name is empty for the overall model evaluation.
string display_name = 15;getDisplayNameBytes in interface ModelEvaluationOrBuilderpublic ModelEvaluation.Builder setDisplayName(String value)
Output only. The value of [display_name][google.cloud.automl.v1.AnnotationSpec.display_name] at the moment when the model was trained. Because this field returns a value at model training time, for different models trained from the same dataset, the values may differ, since display names could had been changed between the two model's trainings. For Tables CLASSIFICATION [prediction_type-s][google.cloud.automl.v1.TablesModelMetadata.prediction_type] distinct values of the target column at the moment of the model evaluation are populated here. The display_name is empty for the overall model evaluation.
string display_name = 15;value - The displayName to set.public ModelEvaluation.Builder clearDisplayName()
Output only. The value of [display_name][google.cloud.automl.v1.AnnotationSpec.display_name] at the moment when the model was trained. Because this field returns a value at model training time, for different models trained from the same dataset, the values may differ, since display names could had been changed between the two model's trainings. For Tables CLASSIFICATION [prediction_type-s][google.cloud.automl.v1.TablesModelMetadata.prediction_type] distinct values of the target column at the moment of the model evaluation are populated here. The display_name is empty for the overall model evaluation.
string display_name = 15;public ModelEvaluation.Builder setDisplayNameBytes(com.google.protobuf.ByteString value)
Output only. The value of [display_name][google.cloud.automl.v1.AnnotationSpec.display_name] at the moment when the model was trained. Because this field returns a value at model training time, for different models trained from the same dataset, the values may differ, since display names could had been changed between the two model's trainings. For Tables CLASSIFICATION [prediction_type-s][google.cloud.automl.v1.TablesModelMetadata.prediction_type] distinct values of the target column at the moment of the model evaluation are populated here. The display_name is empty for the overall model evaluation.
string display_name = 15;value - The bytes for displayName to set.public boolean hasCreateTime()
Output only. Timestamp when this model evaluation was created.
.google.protobuf.Timestamp create_time = 5;hasCreateTime in interface ModelEvaluationOrBuilderpublic com.google.protobuf.Timestamp getCreateTime()
Output only. Timestamp when this model evaluation was created.
.google.protobuf.Timestamp create_time = 5;getCreateTime in interface ModelEvaluationOrBuilderpublic ModelEvaluation.Builder setCreateTime(com.google.protobuf.Timestamp value)
Output only. Timestamp when this model evaluation was created.
.google.protobuf.Timestamp create_time = 5;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;public ModelEvaluation.Builder mergeCreateTime(com.google.protobuf.Timestamp value)
Output only. Timestamp when this model evaluation was created.
.google.protobuf.Timestamp create_time = 5;public ModelEvaluation.Builder clearCreateTime()
Output only. Timestamp when this model evaluation was created.
.google.protobuf.Timestamp create_time = 5;public com.google.protobuf.Timestamp.Builder getCreateTimeBuilder()
Output only. Timestamp when this model evaluation was created.
.google.protobuf.Timestamp create_time = 5;public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder()
Output only. Timestamp when this model evaluation was created.
.google.protobuf.Timestamp create_time = 5;getCreateTimeOrBuilder in interface ModelEvaluationOrBuilderpublic 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.v1.ModelEvaluation.annotation_spec_id].
int32 evaluated_example_count = 6;getEvaluatedExampleCount in interface ModelEvaluationOrBuilderpublic 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.v1.ModelEvaluation.annotation_spec_id].
int32 evaluated_example_count = 6;value - The evaluatedExampleCount to set.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.v1.ModelEvaluation.annotation_spec_id].
int32 evaluated_example_count = 6;public final ModelEvaluation.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
setUnknownFields in interface com.google.protobuf.Message.BuildersetUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>public final ModelEvaluation.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
mergeUnknownFields in interface com.google.protobuf.Message.BuildermergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>Copyright © 2025 Google LLC. All rights reserved.