Class protos.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation (2.12.0)

Represents a Transformation.

Package

Constructors

(constructor)(properties)

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

Constructs a new Transformation.

Parameter
Name	Description
`properties`	`ITransformation` Properties to set

Properties

auto

public auto?: (google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.IAutoTransformation|null);

Transformation auto.

categorical

public categorical?: (google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.ICategoricalTransformation|null);

Transformation categorical.

numeric

public numeric?: (google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.INumericTransformation|null);

Transformation numeric.

text

public text?: (google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.ITextTransformation|null);

Transformation text.

timestamp

public timestamp?: (google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.ITimestampTransformation|null);

Transformation timestamp.

transformationDetail

public transformationDetail?: ("auto"|"numeric"|"categorical"|"timestamp"|"text");

Transformation transformationDetail.

Methods

create(properties)

public static create(properties?: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.ITransformation): google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation;

Creates a new Transformation instance using the specified properties.

Parameter
Name	Description
`properties`	`ITransformation` Properties to set

Returns
Type	Description
`google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation`	Transformation instance

decode(reader, length)

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

Decodes a Transformation message from the specified reader or buffer.

Parameters
Name	Description
`reader`	`($protobuf.Reader\|Uint8Array)` Reader or buffer to decode from
`length`	`number` Message length if known beforehand

Returns
Type	Description
`google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation`	Transformation

decodeDelimited(reader)

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

Decodes a Transformation message from the specified reader or buffer, length delimited.

Parameter
Name	Description
`reader`	`($protobuf.Reader\|Uint8Array)` Reader or buffer to decode from

Returns
Type	Description
`google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation`	Transformation

encode(message, writer)

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

Encodes the specified Transformation message. Does not implicitly messages.

Parameters
Name	Description
`message`	`ITransformation` Transformation message or plain object to encode
`writer`	`$protobuf.Writer` Writer to encode to

Returns
Type	Description
`$protobuf.Writer`	Writer

encodeDelimited(message, writer)

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

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

Parameters
Name	Description
`message`	`ITransformation` Transformation message or plain object to encode
`writer`	`$protobuf.Writer` Writer to encode to

Returns
Type	Description
`$protobuf.Writer`	Writer

fromObject(object)

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

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

Parameter
Name	Description
`object`	`{ [k: string]: any }` Plain object

Returns
Type	Description
`google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation`	Transformation

getTypeUrl(typeUrlPrefix)

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

Gets the default type url for Transformation

Parameter
Name	Description
`typeUrlPrefix`	`string` your custom typeUrlPrefix(default "type.googleapis.com")

Returns
Type	Description
`string`	The default type url

toJSON()

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

Converts this Transformation to JSON.

Returns
Type	Description
`{ [k: string]: any }`	JSON object

toObject(message, options)

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

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

Parameters
Name	Description
`message`	`google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation` Transformation
`options`	`$protobuf.IConversionOptions` Conversion options

Returns
Type	Description
`{ [k: string]: any }`	Plain object

verify(message)

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

Verifies a Transformation message.

Parameter
Name	Description
`message`	`{ [k: string]: any }` Plain object to verify

Returns
Type	Description
`(string\|null)`	`null` if valid, otherwise the reason why it is not