Class protos.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting (2.11.0)

Represents an AutoMlForecasting.

Package

@google-cloud/aiplatform

Constructors

(constructor)(properties)

constructor(properties?: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.IAutoMlForecasting);

Constructs a new AutoMlForecasting.

Parameter
NameDescription
properties IAutoMlForecasting

Properties to set

Properties

inputs

public inputs?: (google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.IAutoMlForecastingInputs|null);

AutoMlForecasting inputs.

metadata

public metadata?: (google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.IAutoMlForecastingMetadata|null);

AutoMlForecasting metadata.

Methods

create(properties)

public static create(properties?: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.IAutoMlForecasting): google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting;

Creates a new AutoMlForecasting instance using the specified properties.

Parameter
NameDescription
properties IAutoMlForecasting

Properties to set

Returns
TypeDescription
google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting

AutoMlForecasting instance

decode(reader, length)

public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting;

Decodes an AutoMlForecasting message from the specified reader or buffer.

Parameters
NameDescription
reader ($protobuf.Reader|Uint8Array)

Reader or buffer to decode from

length number

Message length if known beforehand

Returns
TypeDescription
google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting

AutoMlForecasting

decodeDelimited(reader)

public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting;

Decodes an AutoMlForecasting message from the specified reader or buffer, length delimited.

Parameter
NameDescription
reader ($protobuf.Reader|Uint8Array)

Reader or buffer to decode from

Returns
TypeDescription
google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting

AutoMlForecasting

encode(message, writer)

public static encode(message: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.IAutoMlForecasting, writer?: $protobuf.Writer): $protobuf.Writer;

Encodes the specified AutoMlForecasting message. Does not implicitly messages.

Parameters
NameDescription
message IAutoMlForecasting

AutoMlForecasting message or plain object to encode

writer $protobuf.Writer

Writer to encode to

Returns
TypeDescription
$protobuf.Writer

Writer

encodeDelimited(message, writer)

public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.IAutoMlForecasting, writer?: $protobuf.Writer): $protobuf.Writer;

Encodes the specified AutoMlForecasting message, length delimited. Does not implicitly messages.

Parameters
NameDescription
message IAutoMlForecasting

AutoMlForecasting message or plain object to encode

writer $protobuf.Writer

Writer to encode to

Returns
TypeDescription
$protobuf.Writer

Writer

fromObject(object)

public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting;

Creates an AutoMlForecasting message from a plain object. Also converts values to their respective internal types.

Parameter
NameDescription
object { [k: string]: any }

Plain object

Returns
TypeDescription
google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting

AutoMlForecasting

getTypeUrl(typeUrlPrefix)

public static getTypeUrl(typeUrlPrefix?: string): string;

Gets the default type url for AutoMlForecasting

Parameter
NameDescription
typeUrlPrefix string

your custom typeUrlPrefix(default "type.googleapis.com")

Returns
TypeDescription
string

The default type url

toJSON()

public toJSON(): { [k: string]: any };

Converts this AutoMlForecasting to JSON.

Returns
TypeDescription
{ [k: string]: any }

JSON object

toObject(message, options)

public static toObject(message: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting, options?: $protobuf.IConversionOptions): { [k: string]: any };

Creates a plain object from an AutoMlForecasting message. Also converts values to other types if specified.

Parameters
NameDescription
message google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting

AutoMlForecasting

options $protobuf.IConversionOptions

Conversion options

Returns
TypeDescription
{ [k: string]: any }

Plain object

verify(message)

public static verify(message: { [k: string]: any }): (string|null);

Verifies an AutoMlForecasting message.

Parameter
NameDescription
message { [k: string]: any }

Plain object to verify

Returns
TypeDescription
(string|null)

null if valid, otherwise the reason why it is not