Class ModelEvaluation.Builder (2.36.0)

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public static final class ModelEvaluation.Builder extends GeneratedMessageV3.Builder<ModelEvaluation.Builder> implements ModelEvaluationOrBuilder

Evaluation results of a model.

Protobuf type google.cloud.automl.v1beta1.ModelEvaluation

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > ModelEvaluation.Builder

Implements

ModelEvaluationOrBuilder

Inherited Members

AbstractMessage.Builder.findInitializationErrors()

AbstractMessage.Builder.getInitializationErrorString()

AbstractMessage.Builder.internalMergeFrom(AbstractMessageLite)

AbstractMessage.Builder.mergeFrom(byte[])

AbstractMessage.Builder.mergeFrom(byte[],ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(byte[],int,int)

AbstractMessage.Builder.mergeFrom(byte[],int,int,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(ByteString)

AbstractMessage.Builder.mergeFrom(ByteString,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(CodedInputStream)

AbstractMessage.Builder.mergeFrom(CodedInputStream,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(Message)

AbstractMessage.Builder.mergeFrom(InputStream)

AbstractMessage.Builder.mergeFrom(InputStream,ExtensionRegistryLite)

AbstractMessage.Builder.newUninitializedMessageException(Message)

AbstractMessage.Builder.toString()

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,Collection<? super T>)

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,List<? super T>)

AbstractMessageLite.Builder.internalMergeFrom(MessageType)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream,ExtensionRegistryLite)

AbstractMessageLite.Builder.mergeFrom(MessageLite)

AbstractMessageLite.Builder.newUninitializedMessageException(MessageLite)

GeneratedMessageV3.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.clear()

GeneratedMessageV3.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.clone()

GeneratedMessageV3.Builder.getAllFields()

GeneratedMessageV3.Builder.getDescriptorForType()

GeneratedMessageV3.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.getParentForChildren()

GeneratedMessageV3.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()

GeneratedMessageV3.Builder.getUnknownFields()

GeneratedMessageV3.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.internalGetFieldAccessorTable()

GeneratedMessageV3.Builder.internalGetMapField(int)

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int)

GeneratedMessageV3.Builder.isClean()

GeneratedMessageV3.Builder.isInitialized()

GeneratedMessageV3.Builder.markClean()

GeneratedMessageV3.Builder.mergeUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)

GeneratedMessageV3.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.onBuilt()

GeneratedMessageV3.Builder.onChanged()

com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)

GeneratedMessageV3.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)

GeneratedMessageV3.Builder.setUnknownFields(UnknownFieldSet)

GeneratedMessageV3.Builder.setUnknownFieldsProto3(UnknownFieldSet)

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
Descriptor

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public ModelEvaluation.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
ModelEvaluation.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.addRepeatedField(Descriptors.FieldDescriptor field, Object value)

build()

public ModelEvaluation build()

Returns
Type	Description
ModelEvaluation

buildPartial()

public ModelEvaluation buildPartial()

Returns
Type	Description
ModelEvaluation

clear()

public ModelEvaluation.Builder clear()

Returns
Type	Description
ModelEvaluation.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

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 the display_name field is used.

string annotation_spec_id = 2;

Returns
Type	Description
ModelEvaluation.Builder	This builder for chaining.

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;

Returns
Type	Description
ModelEvaluation.Builder

clearCreateTime()

public ModelEvaluation.Builder clearCreateTime()

Output only. Timestamp when this model evaluation was created.

.google.protobuf.Timestamp create_time = 5;

Returns
Type	Description
ModelEvaluation.Builder

clearDisplayName()

public ModelEvaluation.Builder clearDisplayName()

Output only. The value of 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 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
Type	Description
ModelEvaluation.Builder	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.

int32 evaluated_example_count = 6;

Returns
Type	Description
ModelEvaluation.Builder	This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public ModelEvaluation.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
field	FieldDescriptor

Returns
Type	Description
ModelEvaluation.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearField(Descriptors.FieldDescriptor field)

clearImageObjectDetectionEvaluationMetrics()

public ModelEvaluation.Builder clearImageObjectDetectionEvaluationMetrics()

Model evaluation metrics for image object detection.

.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;

Returns
Type	Description
ModelEvaluation.Builder

clearMetrics()

public ModelEvaluation.Builder clearMetrics()

Returns
Type	Description
ModelEvaluation.Builder

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
Type	Description
ModelEvaluation.Builder	This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public ModelEvaluation.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
oneof	OneofDescriptor

Returns
Type	Description
ModelEvaluation.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearOneof(Descriptors.OneofDescriptor oneof)

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;

Returns
Type	Description
ModelEvaluation.Builder

clearTextExtractionEvaluationMetrics()

public ModelEvaluation.Builder clearTextExtractionEvaluationMetrics()

Evaluation metrics for text extraction models.

.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;

Returns
Type	Description
ModelEvaluation.Builder

clearTextSentimentEvaluationMetrics()

public ModelEvaluation.Builder clearTextSentimentEvaluationMetrics()

Evaluation metrics for text sentiment models.

.google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;

Returns
Type	Description
ModelEvaluation.Builder

clearTranslationEvaluationMetrics()

public ModelEvaluation.Builder clearTranslationEvaluationMetrics()

Model evaluation metrics for translation.

.google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;

Returns
Type	Description
ModelEvaluation.Builder

clearVideoObjectTrackingEvaluationMetrics()

public ModelEvaluation.Builder clearVideoObjectTrackingEvaluationMetrics()

Model evaluation metrics for video object tracking.

.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14;

Returns
Type	Description
ModelEvaluation.Builder

clone()

public ModelEvaluation.Builder clone()

Returns
Type	Description
ModelEvaluation.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

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 the display_name field is used.

string annotation_spec_id = 2;

Returns
Type	Description
String	The annotationSpecId.

getAnnotationSpecIdBytes()

public 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 the display_name field is used.

string annotation_spec_id = 2;

Returns
Type	Description
ByteString	The bytes for annotationSpecId.

getClassificationEvaluationMetrics()

public ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;

Returns
Type	Description
ClassificationProto.ClassificationEvaluationMetrics	The classificationEvaluationMetrics.

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;

Returns
Type	Description
ClassificationProto.ClassificationEvaluationMetrics.Builder

getClassificationEvaluationMetricsOrBuilder()

public ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;

Returns
Type	Description
ClassificationProto.ClassificationEvaluationMetricsOrBuilder

getCreateTime()

public Timestamp getCreateTime()

Output only. Timestamp when this model evaluation was created.

.google.protobuf.Timestamp create_time = 5;

Returns
Type	Description
Timestamp	The createTime.

getCreateTimeBuilder()

public Timestamp.Builder getCreateTimeBuilder()

Output only. Timestamp when this model evaluation was created.

.google.protobuf.Timestamp create_time = 5;

Returns
Type	Description
Builder

getCreateTimeOrBuilder()

public TimestampOrBuilder getCreateTimeOrBuilder()

Output only. Timestamp when this model evaluation was created.

.google.protobuf.Timestamp create_time = 5;

Returns
Type	Description
TimestampOrBuilder

getDefaultInstanceForType()

public ModelEvaluation getDefaultInstanceForType()

Returns
Type	Description
ModelEvaluation

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getDisplayName()

public String getDisplayName()

Output only. The value of 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 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
Type	Description
String	The displayName.

getDisplayNameBytes()

public ByteString getDisplayNameBytes()

Output only. The value of 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 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
Type	Description
ByteString	The bytes for displayName.

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.

int32 evaluated_example_count = 6;

Returns
Type	Description
int	The evaluatedExampleCount.

getImageObjectDetectionEvaluationMetrics()

public ImageObjectDetectionEvaluationMetrics getImageObjectDetectionEvaluationMetrics()

Model evaluation metrics for image object detection.

.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;

Returns
Type	Description
ImageObjectDetectionEvaluationMetrics	The imageObjectDetectionEvaluationMetrics.

getImageObjectDetectionEvaluationMetricsBuilder()

public ImageObjectDetectionEvaluationMetrics.Builder getImageObjectDetectionEvaluationMetricsBuilder()

Model evaluation metrics for image object detection.

.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;

Returns
Type	Description
ImageObjectDetectionEvaluationMetrics.Builder

getImageObjectDetectionEvaluationMetricsOrBuilder()

public ImageObjectDetectionEvaluationMetricsOrBuilder getImageObjectDetectionEvaluationMetricsOrBuilder()

Model evaluation metrics for image object detection.

.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;

Returns
Type	Description
ImageObjectDetectionEvaluationMetricsOrBuilder

getMetricsCase()

public ModelEvaluation.MetricsCase getMetricsCase()

Returns
Type	Description
ModelEvaluation.MetricsCase

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;

Returns
Type	Description
String	The name.

getNameBytes()

public 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;

Returns
Type	Description
ByteString	The bytes for name.

getRegressionEvaluationMetrics()

public RegressionProto.RegressionEvaluationMetrics getRegressionEvaluationMetrics()

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;

Returns
Type	Description
RegressionProto.RegressionEvaluationMetrics	The regressionEvaluationMetrics.

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;

Returns
Type	Description
RegressionProto.RegressionEvaluationMetrics.Builder

getRegressionEvaluationMetricsOrBuilder()

public RegressionProto.RegressionEvaluationMetricsOrBuilder getRegressionEvaluationMetricsOrBuilder()

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;

Returns
Type	Description
RegressionProto.RegressionEvaluationMetricsOrBuilder

getTextExtractionEvaluationMetrics()

public TextExtractionEvaluationMetrics getTextExtractionEvaluationMetrics()

Evaluation metrics for text extraction models.

.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;

Returns
Type	Description
TextExtractionEvaluationMetrics	The textExtractionEvaluationMetrics.

getTextExtractionEvaluationMetricsBuilder()

public TextExtractionEvaluationMetrics.Builder getTextExtractionEvaluationMetricsBuilder()

Evaluation metrics for text extraction models.

.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;

Returns
Type	Description
TextExtractionEvaluationMetrics.Builder

getTextExtractionEvaluationMetricsOrBuilder()

public TextExtractionEvaluationMetricsOrBuilder getTextExtractionEvaluationMetricsOrBuilder()

Evaluation metrics for text extraction models.

.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;

Returns
Type	Description
TextExtractionEvaluationMetricsOrBuilder

getTextSentimentEvaluationMetrics()

public TextSentimentProto.TextSentimentEvaluationMetrics getTextSentimentEvaluationMetrics()

Evaluation metrics for text sentiment models.

.google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;

Returns
Type	Description
TextSentimentProto.TextSentimentEvaluationMetrics	The textSentimentEvaluationMetrics.

getTextSentimentEvaluationMetricsBuilder()

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder getTextSentimentEvaluationMetricsBuilder()

Evaluation metrics for text sentiment models.

.google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;

Returns
Type	Description
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

getTextSentimentEvaluationMetricsOrBuilder()

public TextSentimentProto.TextSentimentEvaluationMetricsOrBuilder getTextSentimentEvaluationMetricsOrBuilder()

Evaluation metrics for text sentiment models.

.google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;

Returns
Type	Description
TextSentimentProto.TextSentimentEvaluationMetricsOrBuilder

getTranslationEvaluationMetrics()

public TranslationEvaluationMetrics getTranslationEvaluationMetrics()

Model evaluation metrics for translation.

.google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;

Returns
Type	Description
TranslationEvaluationMetrics	The translationEvaluationMetrics.

getTranslationEvaluationMetricsBuilder()

public TranslationEvaluationMetrics.Builder getTranslationEvaluationMetricsBuilder()

Model evaluation metrics for translation.

.google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;

Returns
Type	Description
TranslationEvaluationMetrics.Builder

getTranslationEvaluationMetricsOrBuilder()

public TranslationEvaluationMetricsOrBuilder getTranslationEvaluationMetricsOrBuilder()

Model evaluation metrics for translation.

.google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;

Returns
Type	Description
TranslationEvaluationMetricsOrBuilder

getVideoObjectTrackingEvaluationMetrics()

public VideoObjectTrackingEvaluationMetrics getVideoObjectTrackingEvaluationMetrics()

Model evaluation metrics for video object tracking.

.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14;

Returns
Type	Description
VideoObjectTrackingEvaluationMetrics	The videoObjectTrackingEvaluationMetrics.

getVideoObjectTrackingEvaluationMetricsBuilder()

public VideoObjectTrackingEvaluationMetrics.Builder getVideoObjectTrackingEvaluationMetricsBuilder()

Model evaluation metrics for video object tracking.

.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14;

Returns
Type	Description
VideoObjectTrackingEvaluationMetrics.Builder

getVideoObjectTrackingEvaluationMetricsOrBuilder()

public VideoObjectTrackingEvaluationMetricsOrBuilder getVideoObjectTrackingEvaluationMetricsOrBuilder()

Model evaluation metrics for video object tracking.

.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14;

Returns
Type	Description
VideoObjectTrackingEvaluationMetricsOrBuilder

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;

Returns
Type	Description
boolean	Whether the classificationEvaluationMetrics field is set.

hasCreateTime()

public boolean hasCreateTime()

Output only. Timestamp when this model evaluation was created.

.google.protobuf.Timestamp create_time = 5;

Returns
Type	Description
boolean	Whether the createTime field is set.

hasImageObjectDetectionEvaluationMetrics()

public boolean hasImageObjectDetectionEvaluationMetrics()

Model evaluation metrics for image object detection.

.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;

Returns
Type	Description
boolean	Whether the imageObjectDetectionEvaluationMetrics field is set.

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;

Returns
Type	Description
boolean	Whether the regressionEvaluationMetrics field is set.

hasTextExtractionEvaluationMetrics()

public boolean hasTextExtractionEvaluationMetrics()

Evaluation metrics for text extraction models.

.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;

Returns
Type	Description
boolean	Whether the textExtractionEvaluationMetrics field is set.

hasTextSentimentEvaluationMetrics()

public boolean hasTextSentimentEvaluationMetrics()

Evaluation metrics for text sentiment models.

.google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;

Returns
Type	Description
boolean	Whether the textSentimentEvaluationMetrics field is set.

hasTranslationEvaluationMetrics()

public boolean hasTranslationEvaluationMetrics()

Model evaluation metrics for translation.

.google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;

Returns
Type	Description
boolean	Whether the translationEvaluationMetrics field is set.

hasVideoObjectTrackingEvaluationMetrics()

public boolean hasVideoObjectTrackingEvaluationMetrics()

Model evaluation metrics for video object tracking.

.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14;

Returns
Type	Description
boolean	Whether the videoObjectTrackingEvaluationMetrics field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
FieldAccessorTable

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessageV3.Builder<BuilderType>.isInitialized()

mergeClassificationEvaluationMetrics(ClassificationProto.ClassificationEvaluationMetrics value)

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;

Parameter
Name	Description
value	ClassificationProto.ClassificationEvaluationMetrics

Returns
Type	Description
ModelEvaluation.Builder

mergeCreateTime(Timestamp value)

public ModelEvaluation.Builder mergeCreateTime(Timestamp value)

Output only. Timestamp when this model evaluation was created.

.google.protobuf.Timestamp create_time = 5;

Parameter
Name	Description
value	Timestamp

Returns
Type	Description
ModelEvaluation.Builder

mergeFrom(ModelEvaluation other)

public ModelEvaluation.Builder mergeFrom(ModelEvaluation other)

Parameter
Name	Description
other	ModelEvaluation

Returns
Type	Description
ModelEvaluation.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public ModelEvaluation.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
ModelEvaluation.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public ModelEvaluation.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
ModelEvaluation.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(Message other)

mergeImageObjectDetectionEvaluationMetrics(ImageObjectDetectionEvaluationMetrics value)

public ModelEvaluation.Builder mergeImageObjectDetectionEvaluationMetrics(ImageObjectDetectionEvaluationMetrics value)

Model evaluation metrics for image object detection.

.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;

Parameter
Name	Description
value	ImageObjectDetectionEvaluationMetrics

Returns
Type	Description
ModelEvaluation.Builder

mergeRegressionEvaluationMetrics(RegressionProto.RegressionEvaluationMetrics value)

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;

Parameter
Name	Description
value	RegressionProto.RegressionEvaluationMetrics

Returns
Type	Description
ModelEvaluation.Builder

mergeTextExtractionEvaluationMetrics(TextExtractionEvaluationMetrics value)

public ModelEvaluation.Builder mergeTextExtractionEvaluationMetrics(TextExtractionEvaluationMetrics value)

Evaluation metrics for text extraction models.

.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;

Parameter
Name	Description
value	TextExtractionEvaluationMetrics

Returns
Type	Description
ModelEvaluation.Builder

mergeTextSentimentEvaluationMetrics(TextSentimentProto.TextSentimentEvaluationMetrics value)

public ModelEvaluation.Builder mergeTextSentimentEvaluationMetrics(TextSentimentProto.TextSentimentEvaluationMetrics value)

Evaluation metrics for text sentiment models.

.google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;

Parameter
Name	Description
value	TextSentimentProto.TextSentimentEvaluationMetrics

Returns
Type	Description
ModelEvaluation.Builder

mergeTranslationEvaluationMetrics(TranslationEvaluationMetrics value)

public ModelEvaluation.Builder mergeTranslationEvaluationMetrics(TranslationEvaluationMetrics value)

Model evaluation metrics for translation.

.google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;

Parameter
Name	Description
value	TranslationEvaluationMetrics

Returns
Type	Description
ModelEvaluation.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final ModelEvaluation.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
ModelEvaluation.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.mergeUnknownFields(UnknownFieldSet unknownFields)

mergeVideoObjectTrackingEvaluationMetrics(VideoObjectTrackingEvaluationMetrics value)

public ModelEvaluation.Builder mergeVideoObjectTrackingEvaluationMetrics(VideoObjectTrackingEvaluationMetrics value)

Model evaluation metrics for video object tracking.

.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14;

Parameter
Name	Description
value	VideoObjectTrackingEvaluationMetrics

Returns
Type	Description
ModelEvaluation.Builder

setAnnotationSpecId(String value)

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 the display_name field is used.

string annotation_spec_id = 2;

Parameter
Name	Description
value	String The annotationSpecId to set.

Returns
Type	Description
ModelEvaluation.Builder	This builder for chaining.

setAnnotationSpecIdBytes(ByteString value)

public ModelEvaluation.Builder setAnnotationSpecIdBytes(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 the display_name field is used.

string annotation_spec_id = 2;

Parameter
Name	Description
value	ByteString The bytes for annotationSpecId to set.

Returns
Type	Description
ModelEvaluation.Builder	This builder for chaining.

setClassificationEvaluationMetrics(ClassificationProto.ClassificationEvaluationMetrics value)

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;

Parameter
Name	Description
value	ClassificationProto.ClassificationEvaluationMetrics

Returns
Type	Description
ModelEvaluation.Builder

setClassificationEvaluationMetrics(ClassificationProto.ClassificationEvaluationMetrics.Builder builderForValue)

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;

Parameter
Name	Description
builderForValue	ClassificationProto.ClassificationEvaluationMetrics.Builder

Returns
Type	Description
ModelEvaluation.Builder

setCreateTime(Timestamp value)

public ModelEvaluation.Builder setCreateTime(Timestamp value)

Output only. Timestamp when this model evaluation was created.

.google.protobuf.Timestamp create_time = 5;

Parameter
Name	Description
value	Timestamp

Returns
Type	Description
ModelEvaluation.Builder

setCreateTime(Timestamp.Builder builderForValue)

public ModelEvaluation.Builder setCreateTime(Timestamp.Builder builderForValue)

Output only. Timestamp when this model evaluation was created.

.google.protobuf.Timestamp create_time = 5;

Parameter
Name	Description
builderForValue	Builder

Returns
Type	Description
ModelEvaluation.Builder

setDisplayName(String value)

public ModelEvaluation.Builder setDisplayName(String value)

Output only. The value of 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 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;

Parameter
Name	Description
value	String The displayName to set.

Returns
Type	Description
ModelEvaluation.Builder	This builder for chaining.

setDisplayNameBytes(ByteString value)

public ModelEvaluation.Builder setDisplayNameBytes(ByteString value)

Output only. The value of 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 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;

Parameter
Name	Description
value	ByteString The bytes for displayName to set.

Returns
Type	Description
ModelEvaluation.Builder	This builder for chaining.

setEvaluatedExampleCount(int value)

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.

int32 evaluated_example_count = 6;

Parameter
Name	Description
value	int The evaluatedExampleCount to set.

Returns
Type	Description
ModelEvaluation.Builder	This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

public ModelEvaluation.Builder setField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
ModelEvaluation.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setField(Descriptors.FieldDescriptor field, Object value)

setImageObjectDetectionEvaluationMetrics(ImageObjectDetectionEvaluationMetrics value)

public ModelEvaluation.Builder setImageObjectDetectionEvaluationMetrics(ImageObjectDetectionEvaluationMetrics value)

Model evaluation metrics for image object detection.

.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;

Parameter
Name	Description
value	ImageObjectDetectionEvaluationMetrics

Returns
Type	Description
ModelEvaluation.Builder

setImageObjectDetectionEvaluationMetrics(ImageObjectDetectionEvaluationMetrics.Builder builderForValue)

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;

Parameter
Name	Description
builderForValue	ImageObjectDetectionEvaluationMetrics.Builder

Returns
Type	Description
ModelEvaluation.Builder

setName(String value)

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;

Parameter
Name	Description
value	String The name to set.

Returns
Type	Description
ModelEvaluation.Builder	This builder for chaining.

setNameBytes(ByteString value)

public ModelEvaluation.Builder setNameBytes(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;

Parameter
Name	Description
value	ByteString The bytes for name to set.

Returns
Type	Description
ModelEvaluation.Builder	This builder for chaining.

setRegressionEvaluationMetrics(RegressionProto.RegressionEvaluationMetrics value)

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;

Parameter
Name	Description
value	RegressionProto.RegressionEvaluationMetrics

Returns
Type	Description
ModelEvaluation.Builder

setRegressionEvaluationMetrics(RegressionProto.RegressionEvaluationMetrics.Builder builderForValue)

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;

Parameter
Name	Description
builderForValue	RegressionProto.RegressionEvaluationMetrics.Builder

Returns
Type	Description
ModelEvaluation.Builder

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public ModelEvaluation.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

Parameters
Name	Description
field	FieldDescriptor
index	int
value	Object

Returns
Type	Description
ModelEvaluation.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

setTextExtractionEvaluationMetrics(TextExtractionEvaluationMetrics value)

public ModelEvaluation.Builder setTextExtractionEvaluationMetrics(TextExtractionEvaluationMetrics value)

Evaluation metrics for text extraction models.

.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;

Parameter
Name	Description
value	TextExtractionEvaluationMetrics

Returns
Type	Description
ModelEvaluation.Builder

setTextExtractionEvaluationMetrics(TextExtractionEvaluationMetrics.Builder builderForValue)

public ModelEvaluation.Builder setTextExtractionEvaluationMetrics(TextExtractionEvaluationMetrics.Builder builderForValue)

Evaluation metrics for text extraction models.

.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;

Parameter
Name	Description
builderForValue	TextExtractionEvaluationMetrics.Builder

Returns
Type	Description
ModelEvaluation.Builder

setTextSentimentEvaluationMetrics(TextSentimentProto.TextSentimentEvaluationMetrics value)

public ModelEvaluation.Builder setTextSentimentEvaluationMetrics(TextSentimentProto.TextSentimentEvaluationMetrics value)

Evaluation metrics for text sentiment models.

.google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;

Parameter
Name	Description
value	TextSentimentProto.TextSentimentEvaluationMetrics

Returns
Type	Description
ModelEvaluation.Builder

setTextSentimentEvaluationMetrics(TextSentimentProto.TextSentimentEvaluationMetrics.Builder builderForValue)

public ModelEvaluation.Builder setTextSentimentEvaluationMetrics(TextSentimentProto.TextSentimentEvaluationMetrics.Builder builderForValue)

Evaluation metrics for text sentiment models.

.google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;

Parameter
Name	Description
builderForValue	TextSentimentProto.TextSentimentEvaluationMetrics.Builder

Returns
Type	Description
ModelEvaluation.Builder

setTranslationEvaluationMetrics(TranslationEvaluationMetrics value)

public ModelEvaluation.Builder setTranslationEvaluationMetrics(TranslationEvaluationMetrics value)

Model evaluation metrics for translation.

.google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;

Parameter
Name	Description
value	TranslationEvaluationMetrics

Returns
Type	Description
ModelEvaluation.Builder

setTranslationEvaluationMetrics(TranslationEvaluationMetrics.Builder builderForValue)

public ModelEvaluation.Builder setTranslationEvaluationMetrics(TranslationEvaluationMetrics.Builder builderForValue)

Model evaluation metrics for translation.

.google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;

Parameter
Name	Description
builderForValue	TranslationEvaluationMetrics.Builder

Returns
Type	Description
ModelEvaluation.Builder

setUnknownFields(UnknownFieldSet unknownFields)

public final ModelEvaluation.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
ModelEvaluation.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setUnknownFields(UnknownFieldSet unknownFields)

setVideoObjectTrackingEvaluationMetrics(VideoObjectTrackingEvaluationMetrics value)

public ModelEvaluation.Builder setVideoObjectTrackingEvaluationMetrics(VideoObjectTrackingEvaluationMetrics value)

Model evaluation metrics for video object tracking.

.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14;

Parameter
Name	Description
value	VideoObjectTrackingEvaluationMetrics

Returns
Type	Description
ModelEvaluation.Builder

setVideoObjectTrackingEvaluationMetrics(VideoObjectTrackingEvaluationMetrics.Builder builderForValue)

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;

Parameter
Name	Description
builderForValue	VideoObjectTrackingEvaluationMetrics.Builder

Returns
Type	Description
ModelEvaluation.Builder