Class protos.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata (1.15.0)

Represents an AutoMlTablesMetadata.

Package

Constructors

(constructor)(properties)

constructor(properties?: google.cloud.aiplatform.v1.schema.trainingjob.definition.IAutoMlTablesMetadata);

Constructs a new AutoMlTablesMetadata.

Parameter

Name	Description
properties	`IAutoMlTablesMetadata` Properties to set

Properties

trainCostMilliNodeHours

public trainCostMilliNodeHours: (number|Long|string);

AutoMlTablesMetadata trainCostMilliNodeHours.

Methods

create(properties)

public static create(properties?: google.cloud.aiplatform.v1.schema.trainingjob.definition.IAutoMlTablesMetadata): google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata;

Creates a new AutoMlTablesMetadata instance using the specified properties.

Parameter

Name	Description
properties	`IAutoMlTablesMetadata` Properties to set

Returns

Type	Description
google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata	AutoMlTablesMetadata instance

decode(reader, length)

public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata;

Decodes an AutoMlTablesMetadata 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.v1.schema.trainingjob.definition.AutoMlTablesMetadata	AutoMlTablesMetadata

decodeDelimited(reader)

public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata;

Decodes an AutoMlTablesMetadata 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.v1.schema.trainingjob.definition.AutoMlTablesMetadata	AutoMlTablesMetadata

encode(message, writer)

public static encode(message: google.cloud.aiplatform.v1.schema.trainingjob.definition.IAutoMlTablesMetadata, writer?: $protobuf.Writer): $protobuf.Writer;

Encodes the specified AutoMlTablesMetadata message. Does not implicitly messages.

Parameters

Name	Description
message	`IAutoMlTablesMetadata` AutoMlTablesMetadata 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.v1.schema.trainingjob.definition.IAutoMlTablesMetadata, writer?: $protobuf.Writer): $protobuf.Writer;

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

Parameters

Name	Description
message	`IAutoMlTablesMetadata` AutoMlTablesMetadata 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.v1.schema.trainingjob.definition.AutoMlTablesMetadata;

Creates an AutoMlTablesMetadata 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.v1.schema.trainingjob.definition.AutoMlTablesMetadata	AutoMlTablesMetadata

toJSON()

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

Converts this AutoMlTablesMetadata to JSON.

Returns

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

toObject(message, options)

public static toObject(message: google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };

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

Parameters

Name	Description
message	`google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata` AutoMlTablesMetadata
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 an AutoMlTablesMetadata 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