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

Represents a Transformation.

Package

@google-cloud/aiplatform!

Constructors

(constructor)(properties)

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

Constructs a new Transformation.

Parameter
TypeNameDescription
ITransformationproperties

Properties to set

Properties

auto

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

Transformation auto.

Property Value
TypeDescription
(google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.IAutoTransformation|null)

categorical

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

Transformation categorical.

Property Value
TypeDescription
(google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.ICategoricalTransformation|null)

numeric

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

Transformation numeric.

Property Value
TypeDescription
(google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.INumericTransformation|null)

text

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

Transformation text.

Property Value
TypeDescription
(google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.ITextTransformation|null)

timestamp

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

Transformation timestamp.

Property Value
TypeDescription
(google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.ITimestampTransformation|null)

transformationDetail

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

Transformation transformationDetail.

Property Value
TypeDescription
("auto"|"numeric"|"categorical"|"timestamp"|"text")

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
TypeNameDescription
ITransformationproperties

Properties to set

Returns
TypeDescription
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
TypeNameDescription
($protobuf.Reader|Uint8Array)reader

Reader or buffer to decode from

numberlength

Message length if known beforehand

Returns
TypeDescription
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
TypeNameDescription
($protobuf.Reader|Uint8Array)reader

Reader or buffer to decode from

Returns
TypeDescription
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
TypeNameDescription
ITransformationmessage

Transformation message or plain object to encode

$protobuf.Writerwriter

Writer to encode to

Returns
TypeDescription
$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
TypeNameDescription
ITransformationmessage

Transformation message or plain object to encode

$protobuf.Writerwriter

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.AutoMlForecastingInputs.Transformation;

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

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

Plain object

Returns
TypeDescription
google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation

Transformation

toJSON()

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

Converts this Transformation to JSON.

Returns
TypeDescription
{ [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
TypeNameDescription
google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformationmessage

Transformation

$protobuf.IConversionOptionsoptions

Conversion options

Returns
TypeDescription
{ [k: string]: any }

Plain object

verify(message)

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

Verifies a Transformation message.

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

Plain object to verify

Returns
TypeDescription
(string|null)

null if valid, otherwise the reason why it is not