Class protos.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata (2.10.0)

Represents an AutoMlImageSegmentationMetadata.

Package

Constructors

(constructor)(properties)

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

Constructs a new AutoMlImageSegmentationMetadata.

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

Properties

costMilliNodeHours

public costMilliNodeHours: (number|Long|string);

AutoMlImageSegmentationMetadata costMilliNodeHours.

successfulStopReason

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

AutoMlImageSegmentationMetadata successfulStopReason.

Methods

create(properties)

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

Creates a new AutoMlImageSegmentationMetadata instance using the specified properties.

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

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

decode(reader, length)

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

Decodes an AutoMlImageSegmentationMetadata 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.AutoMlImageSegmentationMetadata`	AutoMlImageSegmentationMetadata

decodeDelimited(reader)

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

Decodes an AutoMlImageSegmentationMetadata 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.AutoMlImageSegmentationMetadata`	AutoMlImageSegmentationMetadata

encode(message, writer)

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

Encodes the specified AutoMlImageSegmentationMetadata message. Does not implicitly messages.

Parameters
Name	Description
`message`	`IAutoMlImageSegmentationMetadata` AutoMlImageSegmentationMetadata 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.IAutoMlImageSegmentationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;

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

Parameters
Name	Description
`message`	`IAutoMlImageSegmentationMetadata` AutoMlImageSegmentationMetadata 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.AutoMlImageSegmentationMetadata;

Creates an AutoMlImageSegmentationMetadata 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.AutoMlImageSegmentationMetadata`	AutoMlImageSegmentationMetadata

getTypeUrl(typeUrlPrefix)

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

Gets the default type url for AutoMlImageSegmentationMetadata

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 AutoMlImageSegmentationMetadata to JSON.

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

toObject(message, options)

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

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

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