Class AutoMlForecasting (3.49.0)

public final class AutoMlForecasting extends GeneratedMessageV3 implements AutoMlForecastingOrBuilder

A TrainingJob that trains and uploads an AutoML Forecasting Model.

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

Static Fields

INPUTS_FIELD_NUMBER

public static final int INPUTS_FIELD_NUMBER
Field Value
Type Description
int

METADATA_FIELD_NUMBER

public static final int METADATA_FIELD_NUMBER
Field Value
Type Description
int

Static Methods

getDefaultInstance()

public static AutoMlForecasting getDefaultInstance()
Returns
Type Description
AutoMlForecasting

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

newBuilder()

public static AutoMlForecasting.Builder newBuilder()
Returns
Type Description
AutoMlForecasting.Builder

newBuilder(AutoMlForecasting prototype)

public static AutoMlForecasting.Builder newBuilder(AutoMlForecasting prototype)
Parameter
Name Description
prototype AutoMlForecasting
Returns
Type Description
AutoMlForecasting.Builder

parseDelimitedFrom(InputStream input)

public static AutoMlForecasting parseDelimitedFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
AutoMlForecasting
Exceptions
Type Description
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static AutoMlForecasting parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
AutoMlForecasting
Exceptions
Type Description
IOException

parseFrom(byte[] data)

public static AutoMlForecasting parseFrom(byte[] data)
Parameter
Name Description
data byte[]
Returns
Type Description
AutoMlForecasting
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static AutoMlForecasting parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data byte[]
extensionRegistry ExtensionRegistryLite
Returns
Type Description
AutoMlForecasting
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data)

public static AutoMlForecasting parseFrom(ByteString data)
Parameter
Name Description
data ByteString
Returns
Type Description
AutoMlForecasting
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static AutoMlForecasting parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteString
extensionRegistry ExtensionRegistryLite
Returns
Type Description
AutoMlForecasting
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static AutoMlForecasting parseFrom(CodedInputStream input)
Parameter
Name Description
input CodedInputStream
Returns
Type Description
AutoMlForecasting
Exceptions
Type Description
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static AutoMlForecasting parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
AutoMlForecasting
Exceptions
Type Description
IOException

parseFrom(InputStream input)

public static AutoMlForecasting parseFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
AutoMlForecasting
Exceptions
Type Description
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static AutoMlForecasting parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
AutoMlForecasting
Exceptions
Type Description
IOException

parseFrom(ByteBuffer data)

public static AutoMlForecasting parseFrom(ByteBuffer data)
Parameter
Name Description
data ByteBuffer
Returns
Type Description
AutoMlForecasting
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static AutoMlForecasting parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteBuffer
extensionRegistry ExtensionRegistryLite
Returns
Type Description
AutoMlForecasting
Exceptions
Type Description
InvalidProtocolBufferException

parser()

public static Parser<AutoMlForecasting> parser()
Returns
Type Description
Parser<AutoMlForecasting>

Methods

equals(Object obj)

public boolean equals(Object obj)
Parameter
Name Description
obj Object
Returns
Type Description
boolean
Overrides

getDefaultInstanceForType()

public AutoMlForecasting getDefaultInstanceForType()
Returns
Type Description
AutoMlForecasting

getInputs()

public AutoMlForecastingInputs getInputs()

The input parameters of this TrainingJob.

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

Returns
Type Description
AutoMlForecastingInputs

The inputs.

getInputsOrBuilder()

public AutoMlForecastingInputsOrBuilder getInputsOrBuilder()

The input parameters of this TrainingJob.

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

Returns
Type Description
AutoMlForecastingInputsOrBuilder

getMetadata()

public AutoMlForecastingMetadata getMetadata()

The metadata information.

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

Returns
Type Description
AutoMlForecastingMetadata

The metadata.

getMetadataOrBuilder()

public AutoMlForecastingMetadataOrBuilder getMetadataOrBuilder()

The metadata information.

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

Returns
Type Description
AutoMlForecastingMetadataOrBuilder

getParserForType()

public Parser<AutoMlForecasting> getParserForType()
Returns
Type Description
Parser<AutoMlForecasting>
Overrides

getSerializedSize()

public int getSerializedSize()
Returns
Type Description
int
Overrides

hasInputs()

public boolean hasInputs()

The input parameters of this TrainingJob.

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

Returns
Type Description
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
Type Description
boolean

Whether the metadata field is set.

hashCode()

public int hashCode()
Returns
Type Description
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

newBuilderForType()

public AutoMlForecasting.Builder newBuilderForType()
Returns
Type Description
AutoMlForecasting.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected AutoMlForecasting.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
Name Description
parent BuilderParent
Returns
Type Description
AutoMlForecasting.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
Name Description
unused UnusedPrivateParameter
Returns
Type Description
Object
Overrides

toBuilder()

public AutoMlForecasting.Builder toBuilder()
Returns
Type Description
AutoMlForecasting.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
Name Description
output CodedOutputStream
Overrides
Exceptions
Type Description
IOException