Class AutoMlForecasting.Builder (2.5.3)

public static final class AutoMlForecasting.Builder extends GeneratedMessageV3.Builder<AutoMlForecasting.Builder> implements AutoMlForecastingOrBuilder

A TrainingJob that trains and uploads an AutoML Forecasting Model.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

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

build()

public AutoMlForecasting build()
Returns
TypeDescription
AutoMlForecasting

buildPartial()

public AutoMlForecasting buildPartial()
Returns
TypeDescription
AutoMlForecasting

clear()

public AutoMlForecasting.Builder clear()
Returns
TypeDescription
AutoMlForecasting.Builder
Overrides

clearField(Descriptors.FieldDescriptor field)

public AutoMlForecasting.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
NameDescription
fieldFieldDescriptor
Returns
TypeDescription
AutoMlForecasting.Builder
Overrides

clearInputs()

public AutoMlForecasting.Builder clearInputs()

The input parameters of this TrainingJob.

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs inputs = 1;

Returns
TypeDescription
AutoMlForecasting.Builder

clearMetadata()

public AutoMlForecasting.Builder clearMetadata()

The metadata information.

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata metadata = 2;

Returns
TypeDescription
AutoMlForecasting.Builder

clearOneof(Descriptors.OneofDescriptor oneof)

public AutoMlForecasting.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
NameDescription
oneofOneofDescriptor
Returns
TypeDescription
AutoMlForecasting.Builder
Overrides

clone()

public AutoMlForecasting.Builder clone()
Returns
TypeDescription
AutoMlForecasting.Builder
Overrides

getDefaultInstanceForType()

public AutoMlForecasting getDefaultInstanceForType()
Returns
TypeDescription
AutoMlForecasting

getDescriptor()

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

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
TypeDescription
Descriptor
Overrides

getInputs()

public AutoMlForecastingInputs getInputs()

The input parameters of this TrainingJob.

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs inputs = 1;

Returns
TypeDescription
AutoMlForecastingInputs

The inputs.

getInputsBuilder()

public AutoMlForecastingInputs.Builder getInputsBuilder()

The input parameters of this TrainingJob.

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs inputs = 1;

Returns
TypeDescription
AutoMlForecastingInputs.Builder

getInputsOrBuilder()

public AutoMlForecastingInputsOrBuilder getInputsOrBuilder()

The input parameters of this TrainingJob.

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs inputs = 1;

Returns
TypeDescription
AutoMlForecastingInputsOrBuilder

getMetadata()

public AutoMlForecastingMetadata getMetadata()

The metadata information.

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata metadata = 2;

Returns
TypeDescription
AutoMlForecastingMetadata

The metadata.

getMetadataBuilder()

public AutoMlForecastingMetadata.Builder getMetadataBuilder()

The metadata information.

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata metadata = 2;

Returns
TypeDescription
AutoMlForecastingMetadata.Builder

getMetadataOrBuilder()

public AutoMlForecastingMetadataOrBuilder getMetadataOrBuilder()

The metadata information.

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata metadata = 2;

Returns
TypeDescription
AutoMlForecastingMetadataOrBuilder

hasInputs()

public boolean hasInputs()

The input parameters of this TrainingJob.

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs inputs = 1;

Returns
TypeDescription
boolean

Whether the inputs field is set.

hasMetadata()

public boolean hasMetadata()

The metadata information.

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata metadata = 2;

Returns
TypeDescription
boolean

Whether the metadata field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

mergeFrom(AutoMlForecasting other)

public AutoMlForecasting.Builder mergeFrom(AutoMlForecasting other)
Parameter
NameDescription
otherAutoMlForecasting
Returns
TypeDescription
AutoMlForecasting.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

mergeFrom(Message other)

public AutoMlForecasting.Builder mergeFrom(Message other)
Parameter
NameDescription
otherMessage
Returns
TypeDescription
AutoMlForecasting.Builder
Overrides

mergeInputs(AutoMlForecastingInputs value)

public AutoMlForecasting.Builder mergeInputs(AutoMlForecastingInputs value)

The input parameters of this TrainingJob.

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs inputs = 1;

Parameter
NameDescription
valueAutoMlForecastingInputs
Returns
TypeDescription
AutoMlForecasting.Builder

mergeMetadata(AutoMlForecastingMetadata value)

public AutoMlForecasting.Builder mergeMetadata(AutoMlForecastingMetadata value)

The metadata information.

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata metadata = 2;

Parameter
NameDescription
valueAutoMlForecastingMetadata
Returns
TypeDescription
AutoMlForecasting.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final AutoMlForecasting.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
AutoMlForecasting.Builder
Overrides

setField(Descriptors.FieldDescriptor field, Object value)

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

setInputs(AutoMlForecastingInputs value)

public AutoMlForecasting.Builder setInputs(AutoMlForecastingInputs value)

The input parameters of this TrainingJob.

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs inputs = 1;

Parameter
NameDescription
valueAutoMlForecastingInputs
Returns
TypeDescription
AutoMlForecasting.Builder

setInputs(AutoMlForecastingInputs.Builder builderForValue)

public AutoMlForecasting.Builder setInputs(AutoMlForecastingInputs.Builder builderForValue)

The input parameters of this TrainingJob.

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs inputs = 1;

Parameter
NameDescription
builderForValueAutoMlForecastingInputs.Builder
Returns
TypeDescription
AutoMlForecasting.Builder

setMetadata(AutoMlForecastingMetadata value)

public AutoMlForecasting.Builder setMetadata(AutoMlForecastingMetadata value)

The metadata information.

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata metadata = 2;

Parameter
NameDescription
valueAutoMlForecastingMetadata
Returns
TypeDescription
AutoMlForecasting.Builder

setMetadata(AutoMlForecastingMetadata.Builder builderForValue)

public AutoMlForecasting.Builder setMetadata(AutoMlForecastingMetadata.Builder builderForValue)

The metadata information.

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata metadata = 2;

Parameter
NameDescription
builderForValueAutoMlForecastingMetadata.Builder
Returns
TypeDescription
AutoMlForecasting.Builder

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

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

setUnknownFields(UnknownFieldSet unknownFields)

public final AutoMlForecasting.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
AutoMlForecasting.Builder
Overrides