Class ModelEvaluation.ModelEvaluationExplanationSpec.Builder (2.5.3)

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

Protobuf type google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec

Inheritance

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

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public ModelEvaluation.ModelEvaluationExplanationSpec.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns Overrides

build()

public ModelEvaluation.ModelEvaluationExplanationSpec build()
Returns

buildPartial()

public ModelEvaluation.ModelEvaluationExplanationSpec buildPartial()
Returns

clear()

public ModelEvaluation.ModelEvaluationExplanationSpec.Builder clear()
Returns Overrides

clearExplanationSpec()

public ModelEvaluation.ModelEvaluationExplanationSpec.Builder clearExplanationSpec()

Explanation spec details.

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;

Returns

clearExplanationType()

public ModelEvaluation.ModelEvaluationExplanationSpec.Builder clearExplanationType()

Explanation type. For AutoML Image Classification models, possible values are:

  • image-integrated-gradients
  • image-xrai

string explanation_type = 1;

Returns
TypeDescription
ModelEvaluation.ModelEvaluationExplanationSpec.Builder

This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public ModelEvaluation.ModelEvaluationExplanationSpec.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
NameDescription
fieldFieldDescriptor
Returns Overrides

clearOneof(Descriptors.OneofDescriptor oneof)

public ModelEvaluation.ModelEvaluationExplanationSpec.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
NameDescription
oneofOneofDescriptor
Returns Overrides

clone()

public ModelEvaluation.ModelEvaluationExplanationSpec.Builder clone()
Returns Overrides

getDefaultInstanceForType()

public ModelEvaluation.ModelEvaluationExplanationSpec getDefaultInstanceForType()
Returns

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
TypeDescription
Descriptor

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
TypeDescription
Descriptor
Overrides

getExplanationSpec()

public ExplanationSpec getExplanationSpec()

Explanation spec details.

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;

Returns
TypeDescription
ExplanationSpec

The explanationSpec.

getExplanationSpecBuilder()

public ExplanationSpec.Builder getExplanationSpecBuilder()

Explanation spec details.

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;

Returns

getExplanationSpecOrBuilder()

public ExplanationSpecOrBuilder getExplanationSpecOrBuilder()

Explanation spec details.

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;

Returns

getExplanationType()

public String getExplanationType()

Explanation type. For AutoML Image Classification models, possible values are:

  • image-integrated-gradients
  • image-xrai

string explanation_type = 1;

Returns
TypeDescription
String

The explanationType.

getExplanationTypeBytes()

public ByteString getExplanationTypeBytes()

Explanation type. For AutoML Image Classification models, possible values are:

  • image-integrated-gradients
  • image-xrai

string explanation_type = 1;

Returns
TypeDescription
ByteString

The bytes for explanationType.

hasExplanationSpec()

public boolean hasExplanationSpec()

Explanation spec details.

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;

Returns
TypeDescription
boolean

Whether the explanationSpec field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

mergeExplanationSpec(ExplanationSpec value)

public ModelEvaluation.ModelEvaluationExplanationSpec.Builder mergeExplanationSpec(ExplanationSpec value)

Explanation spec details.

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;

Parameter
NameDescription
valueExplanationSpec
Returns

mergeFrom(ModelEvaluation.ModelEvaluationExplanationSpec other)

public ModelEvaluation.ModelEvaluationExplanationSpec.Builder mergeFrom(ModelEvaluation.ModelEvaluationExplanationSpec other)
Parameter Returns

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public ModelEvaluation.ModelEvaluationExplanationSpec.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputCodedInputStream
extensionRegistryExtensionRegistryLite
Returns Overrides Exceptions
TypeDescription
IOException

mergeFrom(Message other)

public ModelEvaluation.ModelEvaluationExplanationSpec.Builder mergeFrom(Message other)
Parameter
NameDescription
otherMessage
Returns Overrides

mergeUnknownFields(UnknownFieldSet unknownFields)

public final ModelEvaluation.ModelEvaluationExplanationSpec.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns Overrides

setExplanationSpec(ExplanationSpec value)

public ModelEvaluation.ModelEvaluationExplanationSpec.Builder setExplanationSpec(ExplanationSpec value)

Explanation spec details.

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;

Parameter
NameDescription
valueExplanationSpec
Returns

setExplanationSpec(ExplanationSpec.Builder builderForValue)

public ModelEvaluation.ModelEvaluationExplanationSpec.Builder setExplanationSpec(ExplanationSpec.Builder builderForValue)

Explanation spec details.

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;

Parameter
NameDescription
builderForValueExplanationSpec.Builder
Returns

setExplanationType(String value)

public ModelEvaluation.ModelEvaluationExplanationSpec.Builder setExplanationType(String value)

Explanation type. For AutoML Image Classification models, possible values are:

  • image-integrated-gradients
  • image-xrai

string explanation_type = 1;

Parameter
NameDescription
valueString

The explanationType to set.

Returns
TypeDescription
ModelEvaluation.ModelEvaluationExplanationSpec.Builder

This builder for chaining.

setExplanationTypeBytes(ByteString value)

public ModelEvaluation.ModelEvaluationExplanationSpec.Builder setExplanationTypeBytes(ByteString value)

Explanation type. For AutoML Image Classification models, possible values are:

  • image-integrated-gradients
  • image-xrai

string explanation_type = 1;

Parameter
NameDescription
valueByteString

The bytes for explanationType to set.

Returns
TypeDescription
ModelEvaluation.ModelEvaluationExplanationSpec.Builder

This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

public ModelEvaluation.ModelEvaluationExplanationSpec.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns Overrides

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

public ModelEvaluation.ModelEvaluationExplanationSpec.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
NameDescription
fieldFieldDescriptor
indexint
valueObject
Returns Overrides

setUnknownFields(UnknownFieldSet unknownFields)

public final ModelEvaluation.ModelEvaluationExplanationSpec.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns Overrides