Class ModelEvaluationSlice.Builder (3.28.0)

Version 3.28.0

• 3.52.0 (latest)
• 3.50.0
• 3.49.0
• 3.48.0
• 3.47.0
• 3.46.0
• 3.45.0
• 3.44.0
• 3.43.0
• 3.42.0
• 3.41.0
• 3.40.0
• 3.38.0
• 3.37.0
• 3.36.0
• 3.35.0
• 3.34.0
• 3.33.0
• 3.32.0
• 3.31.0
• 3.30.0
• 3.29.0
• 3.28.0
• 3.25.0
• 3.24.0
• 3.23.0
• 3.22.0
• 3.21.0
• 3.20.0
• 3.19.0
• 3.18.0
• 3.17.0
• 3.16.0
• 3.15.0
• 3.14.0
• 3.13.0
• 3.12.0
• 3.11.0
• 3.10.0
• 3.9.0
• 3.8.0
• 3.7.0
• 3.6.0
• 3.5.0
• 3.4.2
• 3.3.0
• 3.2.0
• 3.0.0
• 2.9.8
• 2.8.9
• 2.7.4
• 2.5.3
• 2.4.0

public static final class ModelEvaluationSlice.Builder extends GeneratedMessageV3.Builder<ModelEvaluationSlice.Builder> implements ModelEvaluationSliceOrBuilder

A collection of metrics calculated by comparing Model's predictions on a slice of the test data against ground truth annotations.

Protobuf type google.cloud.aiplatform.v1.ModelEvaluationSlice

Inheritance

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

Implements

ModelEvaluationSliceOrBuilder

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)

GeneratedMessageV3.Builder.internalGetMutableMapField(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 ModelEvaluationSlice.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
ModelEvaluationSlice.Builder

Overrides

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

build()

public ModelEvaluationSlice build()

Returns
Type	Description
ModelEvaluationSlice

buildPartial()

public ModelEvaluationSlice buildPartial()

Returns
Type	Description
ModelEvaluationSlice

clear()

public ModelEvaluationSlice.Builder clear()

Returns
Type	Description
ModelEvaluationSlice.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearCreateTime()

public ModelEvaluationSlice.Builder clearCreateTime()

Output only. Timestamp when this ModelEvaluationSlice was created.

.google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
ModelEvaluationSlice.Builder

clearField(Descriptors.FieldDescriptor field)

public ModelEvaluationSlice.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
field	FieldDescriptor

Returns
Type	Description
ModelEvaluationSlice.Builder

Overrides

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

clearMetrics()

public ModelEvaluationSlice.Builder clearMetrics()

Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored in metrics_schema_uri

.google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
ModelEvaluationSlice.Builder

clearMetricsSchemaUri()

public ModelEvaluationSlice.Builder clearMetricsSchemaUri()

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

string metrics_schema_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
ModelEvaluationSlice.Builder	This builder for chaining.

clearModelExplanation()

public ModelEvaluationSlice.Builder clearModelExplanation()

Output only. 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 tabular Models.

.google.cloud.aiplatform.v1.ModelExplanation model_explanation = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
ModelEvaluationSlice.Builder

clearName()

public ModelEvaluationSlice.Builder clearName()

Output only. The resource name of the ModelEvaluationSlice.

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

Returns
Type	Description
ModelEvaluationSlice.Builder	This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public ModelEvaluationSlice.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
oneof	OneofDescriptor

Returns
Type	Description
ModelEvaluationSlice.Builder

Overrides

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

clearSlice()

public ModelEvaluationSlice.Builder clearSlice()

Output only. The slice of the test data that is used to evaluate the Model.

.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice slice = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
ModelEvaluationSlice.Builder

clone()

public ModelEvaluationSlice.Builder clone()

Returns
Type	Description
ModelEvaluationSlice.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getCreateTime()

public Timestamp getCreateTime()

Output only. Timestamp when this ModelEvaluationSlice was created.

.google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
Timestamp	The createTime.

getCreateTimeBuilder()

public Timestamp.Builder getCreateTimeBuilder()

Output only. Timestamp when this ModelEvaluationSlice was created.

.google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
Builder

getCreateTimeOrBuilder()

public TimestampOrBuilder getCreateTimeOrBuilder()

Output only. Timestamp when this ModelEvaluationSlice was created.

.google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
TimestampOrBuilder

getDefaultInstanceForType()

public ModelEvaluationSlice getDefaultInstanceForType()

Returns
Type	Description
ModelEvaluationSlice

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getMetrics()

public Value getMetrics()

Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored in metrics_schema_uri

.google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
Value	The metrics.

getMetricsBuilder()

public Value.Builder getMetricsBuilder()

Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored in metrics_schema_uri

.google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
Builder

getMetricsOrBuilder()

public ValueOrBuilder getMetricsOrBuilder()

Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored in metrics_schema_uri

.google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
ValueOrBuilder

getMetricsSchemaUri()

public String getMetricsSchemaUri()

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

string metrics_schema_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
String	The metricsSchemaUri.

getMetricsSchemaUriBytes()

public ByteString getMetricsSchemaUriBytes()

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

string metrics_schema_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
ByteString	The bytes for metricsSchemaUri.

getModelExplanation()

public ModelExplanation getModelExplanation()

Output only. 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 tabular Models.

.google.cloud.aiplatform.v1.ModelExplanation model_explanation = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
ModelExplanation	The modelExplanation.

getModelExplanationBuilder()

public ModelExplanation.Builder getModelExplanationBuilder()

Output only. 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 tabular Models.

.google.cloud.aiplatform.v1.ModelExplanation model_explanation = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
ModelExplanation.Builder

getModelExplanationOrBuilder()

public ModelExplanationOrBuilder getModelExplanationOrBuilder()

Output only. 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 tabular Models.

.google.cloud.aiplatform.v1.ModelExplanation model_explanation = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
ModelExplanationOrBuilder

getName()

public String getName()

Output only. The resource name of the ModelEvaluationSlice.

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 ModelEvaluationSlice.

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

Returns
Type	Description
ByteString	The bytes for name.

getSlice()

public ModelEvaluationSlice.Slice getSlice()

Output only. The slice of the test data that is used to evaluate the Model.

.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice slice = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
ModelEvaluationSlice.Slice	The slice.

getSliceBuilder()

public ModelEvaluationSlice.Slice.Builder getSliceBuilder()

Output only. The slice of the test data that is used to evaluate the Model.

.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice slice = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
ModelEvaluationSlice.Slice.Builder

getSliceOrBuilder()

public ModelEvaluationSlice.SliceOrBuilder getSliceOrBuilder()

Output only. The slice of the test data that is used to evaluate the Model.

.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice slice = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
ModelEvaluationSlice.SliceOrBuilder

hasCreateTime()

public boolean hasCreateTime()

Output only. Timestamp when this ModelEvaluationSlice was created.

.google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
boolean	Whether the createTime field is set.

hasMetrics()

public boolean hasMetrics()

Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored in metrics_schema_uri

.google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
boolean	Whether the metrics field is set.

hasModelExplanation()

public boolean hasModelExplanation()

Output only. 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 tabular Models.

.google.cloud.aiplatform.v1.ModelExplanation model_explanation = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
boolean	Whether the modelExplanation field is set.

hasSlice()

public boolean hasSlice()

Output only. The slice of the test data that is used to evaluate the Model.

.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice slice = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
boolean	Whether the slice 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()

mergeCreateTime(Timestamp value)

public ModelEvaluationSlice.Builder mergeCreateTime(Timestamp value)

Output only. Timestamp when this ModelEvaluationSlice was created.

.google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
value	Timestamp

Returns
Type	Description
ModelEvaluationSlice.Builder

mergeFrom(ModelEvaluationSlice other)

public ModelEvaluationSlice.Builder mergeFrom(ModelEvaluationSlice other)

Parameter
Name	Description
other	ModelEvaluationSlice

Returns
Type	Description
ModelEvaluationSlice.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
ModelEvaluationSlice.Builder

Overrides

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

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public ModelEvaluationSlice.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
ModelEvaluationSlice.Builder

Overrides

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

mergeMetrics(Value value)

public ModelEvaluationSlice.Builder mergeMetrics(Value value)

Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored in metrics_schema_uri

.google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
value	Value

Returns
Type	Description
ModelEvaluationSlice.Builder

mergeModelExplanation(ModelExplanation value)

public ModelEvaluationSlice.Builder mergeModelExplanation(ModelExplanation value)

Output only. 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 tabular Models.

.google.cloud.aiplatform.v1.ModelExplanation model_explanation = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
value	ModelExplanation

Returns
Type	Description
ModelEvaluationSlice.Builder

mergeSlice(ModelEvaluationSlice.Slice value)

public ModelEvaluationSlice.Builder mergeSlice(ModelEvaluationSlice.Slice value)

Output only. The slice of the test data that is used to evaluate the Model.

.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice slice = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
value	ModelEvaluationSlice.Slice

Returns
Type	Description
ModelEvaluationSlice.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final ModelEvaluationSlice.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
ModelEvaluationSlice.Builder

Overrides

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

setCreateTime(Timestamp value)

public ModelEvaluationSlice.Builder setCreateTime(Timestamp value)

Output only. Timestamp when this ModelEvaluationSlice was created.

.google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
value	Timestamp

Returns
Type	Description
ModelEvaluationSlice.Builder

setCreateTime(Timestamp.Builder builderForValue)

public ModelEvaluationSlice.Builder setCreateTime(Timestamp.Builder builderForValue)

Output only. Timestamp when this ModelEvaluationSlice was created.

.google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
builderForValue	Builder

Returns
Type	Description
ModelEvaluationSlice.Builder

setField(Descriptors.FieldDescriptor field, Object value)

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

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
ModelEvaluationSlice.Builder

Overrides

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

setMetrics(Value value)

public ModelEvaluationSlice.Builder setMetrics(Value value)

Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored in metrics_schema_uri

.google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
value	Value

Returns
Type	Description
ModelEvaluationSlice.Builder

setMetrics(Value.Builder builderForValue)

public ModelEvaluationSlice.Builder setMetrics(Value.Builder builderForValue)

Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored in metrics_schema_uri

.google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
builderForValue	Builder

Returns
Type	Description
ModelEvaluationSlice.Builder

setMetricsSchemaUri(String value)

public ModelEvaluationSlice.Builder setMetricsSchemaUri(String value)

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

string metrics_schema_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
value	String The metricsSchemaUri to set.

Returns
Type	Description
ModelEvaluationSlice.Builder	This builder for chaining.

setMetricsSchemaUriBytes(ByteString value)

public ModelEvaluationSlice.Builder setMetricsSchemaUriBytes(ByteString value)

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

string metrics_schema_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

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

Returns
Type	Description
ModelEvaluationSlice.Builder	This builder for chaining.

setModelExplanation(ModelExplanation value)

public ModelEvaluationSlice.Builder setModelExplanation(ModelExplanation value)

Output only. 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 tabular Models.

.google.cloud.aiplatform.v1.ModelExplanation model_explanation = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
value	ModelExplanation

Returns
Type	Description
ModelEvaluationSlice.Builder

setModelExplanation(ModelExplanation.Builder builderForValue)

public ModelEvaluationSlice.Builder setModelExplanation(ModelExplanation.Builder builderForValue)

Output only. 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 tabular Models.

.google.cloud.aiplatform.v1.ModelExplanation model_explanation = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
builderForValue	ModelExplanation.Builder

Returns
Type	Description
ModelEvaluationSlice.Builder

setName(String value)

public ModelEvaluationSlice.Builder setName(String value)

Output only. The resource name of the ModelEvaluationSlice.

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

Parameter
Name	Description
value	String The name to set.

Returns
Type	Description
ModelEvaluationSlice.Builder	This builder for chaining.

setNameBytes(ByteString value)

public ModelEvaluationSlice.Builder setNameBytes(ByteString value)

Output only. The resource name of the ModelEvaluationSlice.

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

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

Returns
Type	Description
ModelEvaluationSlice.Builder	This builder for chaining.

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

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

Parameters
Name	Description
field	FieldDescriptor
index	int
value	Object

Returns
Type	Description
ModelEvaluationSlice.Builder

Overrides

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

setSlice(ModelEvaluationSlice.Slice value)

public ModelEvaluationSlice.Builder setSlice(ModelEvaluationSlice.Slice value)

Output only. The slice of the test data that is used to evaluate the Model.

.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice slice = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
value	ModelEvaluationSlice.Slice

Returns
Type	Description
ModelEvaluationSlice.Builder

setSlice(ModelEvaluationSlice.Slice.Builder builderForValue)

public ModelEvaluationSlice.Builder setSlice(ModelEvaluationSlice.Slice.Builder builderForValue)

Output only. The slice of the test data that is used to evaluate the Model.

.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice slice = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
builderForValue	ModelEvaluationSlice.Slice.Builder

Returns
Type	Description
ModelEvaluationSlice.Builder

setUnknownFields(UnknownFieldSet unknownFields)

public final ModelEvaluationSlice.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
ModelEvaluationSlice.Builder

Overrides

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