Class ModelEvaluation.Builder (3.40.0)

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

A collection of metrics calculated by comparing Model's predictions on all of the test data against annotations from the test data.

Protobuf type google.cloud.aiplatform.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

addAllExplanationSpecs(Iterable<? extends ModelEvaluation.ModelEvaluationExplanationSpec> values)

public ModelEvaluation.Builder addAllExplanationSpecs(Iterable<? extends ModelEvaluation.ModelEvaluationExplanationSpec> values)

Describes the values of ExplanationSpec that are used for explaining the predicted values on the evaluated data.

repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;

Parameter
Name	Description
`values`	`Iterable<? extends com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec>`

Returns
Type	Description
`ModelEvaluation.Builder`

addAllSliceDimensions(Iterable<String> values)

public ModelEvaluation.Builder addAllSliceDimensions(Iterable<String> values)

All possible dimensions of ModelEvaluationSlices. The dimensions can be used as the filter of the ModelService.ListModelEvaluationSlices request, in the form of slice.dimension = <dimension>.

repeated string slice_dimensions = 5;

Parameter
Name	Description
`values`	`Iterable<String>` The sliceDimensions to add.

Returns
Type	Description
`ModelEvaluation.Builder`	This builder for chaining.

addExplanationSpecs(ModelEvaluation.ModelEvaluationExplanationSpec value)

public ModelEvaluation.Builder addExplanationSpecs(ModelEvaluation.ModelEvaluationExplanationSpec value)

Describes the values of ExplanationSpec that are used for explaining the predicted values on the evaluated data.

repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;

Parameter
Name	Description
`value`	`ModelEvaluation.ModelEvaluationExplanationSpec`

Returns
Type	Description
`ModelEvaluation.Builder`

addExplanationSpecs(ModelEvaluation.ModelEvaluationExplanationSpec.Builder builderForValue)

public ModelEvaluation.Builder addExplanationSpecs(ModelEvaluation.ModelEvaluationExplanationSpec.Builder builderForValue)

Describes the values of ExplanationSpec that are used for explaining the predicted values on the evaluated data.

repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;

Parameter
Name	Description
`builderForValue`	`ModelEvaluation.ModelEvaluationExplanationSpec.Builder`

Returns
Type	Description
`ModelEvaluation.Builder`

addExplanationSpecs(int index, ModelEvaluation.ModelEvaluationExplanationSpec value)

public ModelEvaluation.Builder addExplanationSpecs(int index, ModelEvaluation.ModelEvaluationExplanationSpec value)

Describes the values of ExplanationSpec that are used for explaining the predicted values on the evaluated data.

repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;

Parameters
Name	Description
`index`	`int`
`value`	`ModelEvaluation.ModelEvaluationExplanationSpec`

Returns
Type	Description
`ModelEvaluation.Builder`

addExplanationSpecs(int index, ModelEvaluation.ModelEvaluationExplanationSpec.Builder builderForValue)

public ModelEvaluation.Builder addExplanationSpecs(int index, ModelEvaluation.ModelEvaluationExplanationSpec.Builder builderForValue)

Describes the values of ExplanationSpec that are used for explaining the predicted values on the evaluated data.

repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;

Parameters
Name	Description
`index`	`int`
`builderForValue`	`ModelEvaluation.ModelEvaluationExplanationSpec.Builder`

Returns
Type	Description
`ModelEvaluation.Builder`

addExplanationSpecsBuilder()

public ModelEvaluation.ModelEvaluationExplanationSpec.Builder addExplanationSpecsBuilder()

Describes the values of ExplanationSpec that are used for explaining the predicted values on the evaluated data.

repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;

Returns
Type	Description
`ModelEvaluation.ModelEvaluationExplanationSpec.Builder`

addExplanationSpecsBuilder(int index)

public ModelEvaluation.ModelEvaluationExplanationSpec.Builder addExplanationSpecsBuilder(int index)

Describes the values of ExplanationSpec that are used for explaining the predicted values on the evaluated data.

repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;

Parameter
Name	Description
`index`	`int`

Returns
Type	Description
`ModelEvaluation.ModelEvaluationExplanationSpec.Builder`

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)

addSliceDimensions(String value)

public ModelEvaluation.Builder addSliceDimensions(String value)

All possible dimensions of ModelEvaluationSlices. The dimensions can be used as the filter of the ModelService.ListModelEvaluationSlices request, in the form of slice.dimension = <dimension>.

repeated string slice_dimensions = 5;

Parameter
Name	Description
`value`	`String` The sliceDimensions to add.

Returns
Type	Description
`ModelEvaluation.Builder`	This builder for chaining.

addSliceDimensionsBytes(ByteString value)

public ModelEvaluation.Builder addSliceDimensionsBytes(ByteString value)

All possible dimensions of ModelEvaluationSlices. The dimensions can be used as the filter of the ModelService.ListModelEvaluationSlices request, in the form of slice.dimension = <dimension>.

repeated string slice_dimensions = 5;

Parameter
Name	Description
`value`	`ByteString` The bytes of the sliceDimensions to add.

Returns
Type	Description
`ModelEvaluation.Builder`	This builder for chaining.

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()

clearBiasConfigs()

public ModelEvaluation.Builder clearBiasConfigs()

Specify the configuration for bias detection.

.google.cloud.aiplatform.v1beta1.ModelEvaluation.BiasConfig bias_configs = 12;

Returns
Type	Description
`ModelEvaluation.Builder`

clearCreateTime()

public ModelEvaluation.Builder clearCreateTime()

Output only. Timestamp when this ModelEvaluation was created.

.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
`ModelEvaluation.Builder`

clearDisplayName()

public ModelEvaluation.Builder clearDisplayName()

The display name of the ModelEvaluation.

string display_name = 10;

Returns
Type	Description
`ModelEvaluation.Builder`	This builder for chaining.

clearExplanationSpecs()

public ModelEvaluation.Builder clearExplanationSpecs()

Describes the values of ExplanationSpec that are used for explaining the predicted values on the evaluated data.

repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;

Returns
Type	Description
`ModelEvaluation.Builder`

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)

clearMetadata()

public ModelEvaluation.Builder clearMetadata()

The metadata of the ModelEvaluation. For the ModelEvaluation uploaded from Managed Pipeline, metadata contains a structured value with keys of "pipeline_job_id", "evaluation_dataset_type", "evaluation_dataset_path", "row_based_metrics_path".

.google.protobuf.Value metadata = 11;

Returns
Type	Description
`ModelEvaluation.Builder`

clearMetrics()

public ModelEvaluation.Builder clearMetrics()

Evaluation metrics of the Model. The schema of the metrics is stored in metrics_schema_uri

.google.protobuf.Value metrics = 3;

Returns
Type	Description
`ModelEvaluation.Builder`

clearMetricsSchemaUri()

public ModelEvaluation.Builder clearMetricsSchemaUri()

Points to a YAML file stored on Google Cloud Storage describing the metrics of this ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 Schema Object.

string metrics_schema_uri = 2;

Returns
Type	Description
`ModelEvaluation.Builder`	This builder for chaining.

clearModelExplanation()

public ModelEvaluation.Builder clearModelExplanation()

Aggregated explanation metrics for the Model's prediction output over the data this ModelEvaluation uses. This field is populated only if the Model is evaluated with explanations, and only for AutoML tabular Models.

.google.cloud.aiplatform.v1beta1.ModelExplanation model_explanation = 8;

Returns
Type	Description
`ModelEvaluation.Builder`

clearName()

public ModelEvaluation.Builder clearName()

Output only. The resource name of the ModelEvaluation.

string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

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)

clearSliceDimensions()

public ModelEvaluation.Builder clearSliceDimensions()

All possible dimensions of ModelEvaluationSlices. The dimensions can be used as the filter of the ModelService.ListModelEvaluationSlices request, in the form of slice.dimension = <dimension>.

repeated string slice_dimensions = 5;

Returns
Type	Description
`ModelEvaluation.Builder`	This builder for chaining.

clone()

public ModelEvaluation.Builder clone()

Returns
Type	Description
`ModelEvaluation.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getBiasConfigs()

public ModelEvaluation.BiasConfig getBiasConfigs()

Specify the configuration for bias detection.

.google.cloud.aiplatform.v1beta1.ModelEvaluation.BiasConfig bias_configs = 12;

Returns
Type	Description
`ModelEvaluation.BiasConfig`	The biasConfigs.

getBiasConfigsBuilder()

public ModelEvaluation.BiasConfig.Builder getBiasConfigsBuilder()

Specify the configuration for bias detection.

.google.cloud.aiplatform.v1beta1.ModelEvaluation.BiasConfig bias_configs = 12;

Returns
Type	Description
`ModelEvaluation.BiasConfig.Builder`

getBiasConfigsOrBuilder()

public ModelEvaluation.BiasConfigOrBuilder getBiasConfigsOrBuilder()

Specify the configuration for bias detection.

.google.cloud.aiplatform.v1beta1.ModelEvaluation.BiasConfig bias_configs = 12;

Returns
Type	Description
`ModelEvaluation.BiasConfigOrBuilder`

getCreateTime()

public Timestamp getCreateTime()

Output only. Timestamp when this ModelEvaluation was created.

.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
`Timestamp`	The createTime.

getCreateTimeBuilder()

public Timestamp.Builder getCreateTimeBuilder()

Output only. Timestamp when this ModelEvaluation was created.

.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
`Builder`

getCreateTimeOrBuilder()

public TimestampOrBuilder getCreateTimeOrBuilder()

Output only. Timestamp when this ModelEvaluation was created.

.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

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()

The display name of the ModelEvaluation.

string display_name = 10;

Returns
Type	Description
`String`	The displayName.

getDisplayNameBytes()

public ByteString getDisplayNameBytes()

The display name of the ModelEvaluation.

string display_name = 10;

Returns
Type	Description
`ByteString`	The bytes for displayName.

getExplanationSpecs(int index)

public ModelEvaluation.ModelEvaluationExplanationSpec getExplanationSpecs(int index)

Describes the values of ExplanationSpec that are used for explaining the predicted values on the evaluated data.

repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;

Parameter
Name	Description
`index`	`int`

Returns
Type	Description
`ModelEvaluation.ModelEvaluationExplanationSpec`

getExplanationSpecsBuilder(int index)

public ModelEvaluation.ModelEvaluationExplanationSpec.Builder getExplanationSpecsBuilder(int index)

Describes the values of ExplanationSpec that are used for explaining the predicted values on the evaluated data.

repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;

Parameter
Name	Description
`index`	`int`

Returns
Type	Description
`ModelEvaluation.ModelEvaluationExplanationSpec.Builder`

getExplanationSpecsBuilderList()

public List<ModelEvaluation.ModelEvaluationExplanationSpec.Builder> getExplanationSpecsBuilderList()

Describes the values of ExplanationSpec that are used for explaining the predicted values on the evaluated data.

repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;

Returns
Type	Description
`List<Builder>`

getExplanationSpecsCount()

public int getExplanationSpecsCount()

Describes the values of ExplanationSpec that are used for explaining the predicted values on the evaluated data.

repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;

Returns
Type	Description
`int`

getExplanationSpecsList()

public List<ModelEvaluation.ModelEvaluationExplanationSpec> getExplanationSpecsList()

Describes the values of ExplanationSpec that are used for explaining the predicted values on the evaluated data.

repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;

Returns
Type	Description
`List<ModelEvaluationExplanationSpec>`

getExplanationSpecsOrBuilder(int index)

public ModelEvaluation.ModelEvaluationExplanationSpecOrBuilder getExplanationSpecsOrBuilder(int index)

Describes the values of ExplanationSpec that are used for explaining the predicted values on the evaluated data.

repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;

Parameter
Name	Description
`index`	`int`

Returns
Type	Description
`ModelEvaluation.ModelEvaluationExplanationSpecOrBuilder`

getExplanationSpecsOrBuilderList()

public List<? extends ModelEvaluation.ModelEvaluationExplanationSpecOrBuilder> getExplanationSpecsOrBuilderList()

Describes the values of ExplanationSpec that are used for explaining the predicted values on the evaluated data.

repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;

Returns
Type	Description
`List<? extends com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpecOrBuilder>`

getMetadata()

public Value getMetadata()

.google.protobuf.Value metadata = 11;

Returns
Type	Description
`Value`	The metadata.

getMetadataBuilder()

public Value.Builder getMetadataBuilder()

.google.protobuf.Value metadata = 11;

Returns
Type	Description
`Builder`

getMetadataOrBuilder()

public ValueOrBuilder getMetadataOrBuilder()

.google.protobuf.Value metadata = 11;

Returns
Type	Description
`ValueOrBuilder`

getMetrics()

public Value getMetrics()

Evaluation metrics of the Model. The schema of the metrics is stored in metrics_schema_uri

.google.protobuf.Value metrics = 3;

Returns
Type	Description
`Value`	The metrics.

getMetricsBuilder()

public Value.Builder getMetricsBuilder()

Evaluation metrics of the Model. The schema of the metrics is stored in metrics_schema_uri

.google.protobuf.Value metrics = 3;

Returns
Type	Description
`Builder`

getMetricsOrBuilder()

public ValueOrBuilder getMetricsOrBuilder()

Evaluation metrics of the Model. The schema of the metrics is stored in metrics_schema_uri

.google.protobuf.Value metrics = 3;

Returns
Type	Description
`ValueOrBuilder`

getMetricsSchemaUri()

public String getMetricsSchemaUri()

Points to a YAML file stored on Google Cloud Storage describing the metrics of this ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 Schema Object.

string metrics_schema_uri = 2;

Returns
Type	Description
`String`	The metricsSchemaUri.

getMetricsSchemaUriBytes()

public ByteString getMetricsSchemaUriBytes()

Points to a YAML file stored on Google Cloud Storage describing the metrics of this ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 Schema Object.

string metrics_schema_uri = 2;

Returns
Type	Description
`ByteString`	The bytes for metricsSchemaUri.

getModelExplanation()

public ModelExplanation getModelExplanation()

.google.cloud.aiplatform.v1beta1.ModelExplanation model_explanation = 8;

Returns
Type	Description
`ModelExplanation`	The modelExplanation.

getModelExplanationBuilder()

public ModelExplanation.Builder getModelExplanationBuilder()

.google.cloud.aiplatform.v1beta1.ModelExplanation model_explanation = 8;

Returns
Type	Description
`ModelExplanation.Builder`

getModelExplanationOrBuilder()

public ModelExplanationOrBuilder getModelExplanationOrBuilder()

.google.cloud.aiplatform.v1beta1.ModelExplanation model_explanation = 8;

Returns
Type	Description
`ModelExplanationOrBuilder`

getName()

public String getName()

Output only. The resource name of the ModelEvaluation.

string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
`String`	The name.

getNameBytes()

public ByteString getNameBytes()

Output only. The resource name of the ModelEvaluation.

string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
`ByteString`	The bytes for name.

getSliceDimensions(int index)

public String getSliceDimensions(int index)

All possible dimensions of ModelEvaluationSlices. The dimensions can be used as the filter of the ModelService.ListModelEvaluationSlices request, in the form of slice.dimension = <dimension>.

repeated string slice_dimensions = 5;

Parameter
Name	Description
`index`	`int` The index of the element to return.

Returns
Type	Description
`String`	The sliceDimensions at the given index.

getSliceDimensionsBytes(int index)

public ByteString getSliceDimensionsBytes(int index)

All possible dimensions of ModelEvaluationSlices. The dimensions can be used as the filter of the ModelService.ListModelEvaluationSlices request, in the form of slice.dimension = <dimension>.

repeated string slice_dimensions = 5;

Parameter
Name	Description
`index`	`int` The index of the value to return.

Returns
Type	Description
`ByteString`	The bytes of the sliceDimensions at the given index.

getSliceDimensionsCount()

public int getSliceDimensionsCount()

All possible dimensions of ModelEvaluationSlices. The dimensions can be used as the filter of the ModelService.ListModelEvaluationSlices request, in the form of slice.dimension = <dimension>.

repeated string slice_dimensions = 5;

Returns
Type	Description
`int`	The count of sliceDimensions.

getSliceDimensionsList()

public ProtocolStringList getSliceDimensionsList()

All possible dimensions of ModelEvaluationSlices. The dimensions can be used as the filter of the ModelService.ListModelEvaluationSlices request, in the form of slice.dimension = <dimension>.

repeated string slice_dimensions = 5;

Returns
Type	Description
`ProtocolStringList`	A list containing the sliceDimensions.

hasBiasConfigs()

public boolean hasBiasConfigs()

Specify the configuration for bias detection.

.google.cloud.aiplatform.v1beta1.ModelEvaluation.BiasConfig bias_configs = 12;

Returns
Type	Description
`boolean`	Whether the biasConfigs field is set.

hasCreateTime()

public boolean hasCreateTime()

Output only. Timestamp when this ModelEvaluation was created.

.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
`boolean`	Whether the createTime field is set.

hasMetadata()

public boolean hasMetadata()

.google.protobuf.Value metadata = 11;

Returns
Type	Description
`boolean`	Whether the metadata field is set.

hasMetrics()

public boolean hasMetrics()

Evaluation metrics of the Model. The schema of the metrics is stored in metrics_schema_uri

.google.protobuf.Value metrics = 3;

Returns
Type	Description
`boolean`	Whether the metrics field is set.

hasModelExplanation()

public boolean hasModelExplanation()

.google.cloud.aiplatform.v1beta1.ModelExplanation model_explanation = 8;

Returns
Type	Description
`boolean`	Whether the modelExplanation 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()

mergeBiasConfigs(ModelEvaluation.BiasConfig value)

public ModelEvaluation.Builder mergeBiasConfigs(ModelEvaluation.BiasConfig value)

Specify the configuration for bias detection.

.google.cloud.aiplatform.v1beta1.ModelEvaluation.BiasConfig bias_configs = 12;

Parameter
Name	Description
`value`	`ModelEvaluation.BiasConfig`

Returns
Type	Description
`ModelEvaluation.Builder`

mergeCreateTime(Timestamp value)

public ModelEvaluation.Builder mergeCreateTime(Timestamp value)

Output only. Timestamp when this ModelEvaluation was created.

.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

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)

mergeMetadata(Value value)

public ModelEvaluation.Builder mergeMetadata(Value value)

.google.protobuf.Value metadata = 11;

Parameter
Name	Description
`value`	`Value`

Returns
Type	Description
`ModelEvaluation.Builder`

mergeMetrics(Value value)

public ModelEvaluation.Builder mergeMetrics(Value value)

Evaluation metrics of the Model. The schema of the metrics is stored in metrics_schema_uri

.google.protobuf.Value metrics = 3;

Parameter
Name	Description
`value`	`Value`

Returns
Type	Description
`ModelEvaluation.Builder`

mergeModelExplanation(ModelExplanation value)

public ModelEvaluation.Builder mergeModelExplanation(ModelExplanation value)

.google.cloud.aiplatform.v1beta1.ModelExplanation model_explanation = 8;

Parameter
Name	Description
`value`	`ModelExplanation`

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)

removeExplanationSpecs(int index)

public ModelEvaluation.Builder removeExplanationSpecs(int index)

Describes the values of ExplanationSpec that are used for explaining the predicted values on the evaluated data.

repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;

Parameter
Name	Description
`index`	`int`

Returns
Type	Description
`ModelEvaluation.Builder`

setBiasConfigs(ModelEvaluation.BiasConfig value)

public ModelEvaluation.Builder setBiasConfigs(ModelEvaluation.BiasConfig value)

Specify the configuration for bias detection.

.google.cloud.aiplatform.v1beta1.ModelEvaluation.BiasConfig bias_configs = 12;

Parameter
Name	Description
`value`	`ModelEvaluation.BiasConfig`

Returns
Type	Description
`ModelEvaluation.Builder`

setBiasConfigs(ModelEvaluation.BiasConfig.Builder builderForValue)

public ModelEvaluation.Builder setBiasConfigs(ModelEvaluation.BiasConfig.Builder builderForValue)

Specify the configuration for bias detection.

.google.cloud.aiplatform.v1beta1.ModelEvaluation.BiasConfig bias_configs = 12;

Parameter
Name	Description
`builderForValue`	`ModelEvaluation.BiasConfig.Builder`

Returns
Type	Description
`ModelEvaluation.Builder`

setCreateTime(Timestamp value)

public ModelEvaluation.Builder setCreateTime(Timestamp value)

Output only. Timestamp when this ModelEvaluation was created.

.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

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 ModelEvaluation was created.

.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
`builderForValue`	`Builder`

Returns
Type	Description
`ModelEvaluation.Builder`

setDisplayName(String value)

public ModelEvaluation.Builder setDisplayName(String value)

The display name of the ModelEvaluation.

string display_name = 10;

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)

The display name of the ModelEvaluation.

string display_name = 10;

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

Returns
Type	Description
`ModelEvaluation.Builder`	This builder for chaining.

setExplanationSpecs(int index, ModelEvaluation.ModelEvaluationExplanationSpec value)

public ModelEvaluation.Builder setExplanationSpecs(int index, ModelEvaluation.ModelEvaluationExplanationSpec value)

Describes the values of ExplanationSpec that are used for explaining the predicted values on the evaluated data.

repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;

Parameters
Name	Description
`index`	`int`
`value`	`ModelEvaluation.ModelEvaluationExplanationSpec`

Returns
Type	Description
`ModelEvaluation.Builder`

setExplanationSpecs(int index, ModelEvaluation.ModelEvaluationExplanationSpec.Builder builderForValue)

public ModelEvaluation.Builder setExplanationSpecs(int index, ModelEvaluation.ModelEvaluationExplanationSpec.Builder builderForValue)

Describes the values of ExplanationSpec that are used for explaining the predicted values on the evaluated data.

repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;

Parameters
Name	Description
`index`	`int`
`builderForValue`	`ModelEvaluation.ModelEvaluationExplanationSpec.Builder`

Returns
Type	Description
`ModelEvaluation.Builder`

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)

setMetadata(Value value)

public ModelEvaluation.Builder setMetadata(Value value)

.google.protobuf.Value metadata = 11;

Parameter
Name	Description
`value`	`Value`

Returns
Type	Description
`ModelEvaluation.Builder`

setMetadata(Value.Builder builderForValue)

public ModelEvaluation.Builder setMetadata(Value.Builder builderForValue)

.google.protobuf.Value metadata = 11;

Parameter
Name	Description
`builderForValue`	`Builder`

Returns
Type	Description
`ModelEvaluation.Builder`

setMetrics(Value value)

public ModelEvaluation.Builder setMetrics(Value value)

Evaluation metrics of the Model. The schema of the metrics is stored in metrics_schema_uri

.google.protobuf.Value metrics = 3;

Parameter
Name	Description
`value`	`Value`

Returns
Type	Description
`ModelEvaluation.Builder`

setMetrics(Value.Builder builderForValue)

public ModelEvaluation.Builder setMetrics(Value.Builder builderForValue)

Evaluation metrics of the Model. The schema of the metrics is stored in metrics_schema_uri

.google.protobuf.Value metrics = 3;

Parameter
Name	Description
`builderForValue`	`Builder`

Returns
Type	Description
`ModelEvaluation.Builder`

setMetricsSchemaUri(String value)

public ModelEvaluation.Builder setMetricsSchemaUri(String value)

Points to a YAML file stored on Google Cloud Storage describing the metrics of this ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 Schema Object.

string metrics_schema_uri = 2;

Parameter
Name	Description
`value`	`String` The metricsSchemaUri to set.

Returns
Type	Description
`ModelEvaluation.Builder`	This builder for chaining.

setMetricsSchemaUriBytes(ByteString value)

public ModelEvaluation.Builder setMetricsSchemaUriBytes(ByteString value)

Points to a YAML file stored on Google Cloud Storage describing the metrics of this ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 Schema Object.

string metrics_schema_uri = 2;

Parameter
Name	Description
`value`	`ByteString` The bytes for metricsSchemaUri to set.

Returns
Type	Description
`ModelEvaluation.Builder`	This builder for chaining.

setModelExplanation(ModelExplanation value)

public ModelEvaluation.Builder setModelExplanation(ModelExplanation value)

.google.cloud.aiplatform.v1beta1.ModelExplanation model_explanation = 8;

Parameter
Name	Description
`value`	`ModelExplanation`

Returns
Type	Description
`ModelEvaluation.Builder`

setModelExplanation(ModelExplanation.Builder builderForValue)

public ModelEvaluation.Builder setModelExplanation(ModelExplanation.Builder builderForValue)

.google.cloud.aiplatform.v1beta1.ModelExplanation model_explanation = 8;

Parameter
Name	Description
`builderForValue`	`ModelExplanation.Builder`

Returns
Type	Description
`ModelEvaluation.Builder`

setName(String value)

public ModelEvaluation.Builder setName(String value)

Output only. The resource name of the ModelEvaluation.

string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

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. The resource name of the ModelEvaluation.

string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

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

Returns
Type	Description
`ModelEvaluation.Builder`	This builder for chaining.

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)

setSliceDimensions(int index, String value)

public ModelEvaluation.Builder setSliceDimensions(int index, String value)

All possible dimensions of ModelEvaluationSlices. The dimensions can be used as the filter of the ModelService.ListModelEvaluationSlices request, in the form of slice.dimension = <dimension>.

repeated string slice_dimensions = 5;

Parameters
Name	Description
`index`	`int` The index to set the value at.
`value`	`String` The sliceDimensions to set.

Returns
Type	Description
`ModelEvaluation.Builder`	This builder for chaining.

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)