Class protos.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageClassificationMetadata (1.18.0)

Represents an AutoMlImageClassificationMetadata.

Package

Constructors

(constructor)(properties)

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

Constructs a new AutoMlImageClassificationMetadata.

Parameter

Name	Description
properties	`IAutoMlImageClassificationMetadata` Properties to set

Properties

costMilliNodeHours

public costMilliNodeHours: (number|Long|string);

AutoMlImageClassificationMetadata costMilliNodeHours.

successfulStopReason

public successfulStopReason: (google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageClassificationMetadata.SuccessfulStopReason|keyof typeof google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageClassificationMetadata.SuccessfulStopReason);

AutoMlImageClassificationMetadata successfulStopReason.

Methods

create(properties)

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

Creates a new AutoMlImageClassificationMetadata instance using the specified properties.

Parameter

Name	Description
properties	`IAutoMlImageClassificationMetadata` Properties to set

Returns

Type	Description
google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageClassificationMetadata	AutoMlImageClassificationMetadata instance

decode(reader, length)

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

Decodes an AutoMlImageClassificationMetadata 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.AutoMlImageClassificationMetadata	AutoMlImageClassificationMetadata

decodeDelimited(reader)

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

Decodes an AutoMlImageClassificationMetadata 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.AutoMlImageClassificationMetadata	AutoMlImageClassificationMetadata

encode(message, writer)

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

Encodes the specified AutoMlImageClassificationMetadata message. Does not implicitly messages.

Parameters

Name	Description
message	`IAutoMlImageClassificationMetadata` AutoMlImageClassificationMetadata 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.IAutoMlImageClassificationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;

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

Parameters

Name	Description
message	`IAutoMlImageClassificationMetadata` AutoMlImageClassificationMetadata 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.AutoMlImageClassificationMetadata;

Creates an AutoMlImageClassificationMetadata 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.AutoMlImageClassificationMetadata	AutoMlImageClassificationMetadata

toJSON()

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

Converts this AutoMlImageClassificationMetadata to JSON.

Returns

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

toObject(message, options)

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

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

Parameters

Name	Description
message	`google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageClassificationMetadata` AutoMlImageClassificationMetadata
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 AutoMlImageClassificationMetadata 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