Class protos.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation (1.11.0)

Represents a Transformation.

Package

Constructors

(constructor)(properties)

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

Constructs a new Transformation.

Parameter

Name	Description
properties	`ITransformation` Properties to set

Properties

auto

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

Transformation auto.

Property Value

Type	Description
(google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.IAutoTransformation\|null)

categorical

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

Transformation categorical.

Property Value

Type	Description
(google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.ICategoricalTransformation\|null)

numeric

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

Transformation numeric.

Property Value

Type	Description
(google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.INumericTransformation\|null)

repeatedCategorical

public repeatedCategorical?: (google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.ICategoricalArrayTransformation|null);

Transformation repeatedCategorical.

Property Value

Type	Description
(google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.ICategoricalArrayTransformation\|null)

repeatedNumeric

public repeatedNumeric?: (google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.INumericArrayTransformation|null);

Transformation repeatedNumeric.

Property Value

Type	Description
(google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.INumericArrayTransformation\|null)

repeatedText

public repeatedText?: (google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.ITextArrayTransformation|null);

Transformation repeatedText.

Property Value

Type	Description
(google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.ITextArrayTransformation\|null)

text

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

Transformation text.

Property Value

Type	Description
(google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.ITextTransformation\|null)

timestamp

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

Transformation timestamp.

Property Value

Type	Description
(google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.ITimestampTransformation\|null)

transformationDetail

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

Transformation transformationDetail.

Property Value

Type	Description
("auto"\|"numeric"\|"categorical"\|"timestamp"\|"text"\|"repeatedNumeric"\|"repeatedCategorical"\|"repeatedText")

Methods

create(properties)

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

decode(reader, length)

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

decodeDelimited(reader)

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

encode(message, writer)

public static encode(message: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.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.AutoMlTablesInputs.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.AutoMlTablesInputs.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.AutoMlTablesInputs.Transformation	Transformation

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.AutoMlTablesInputs.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.AutoMlTablesInputs.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