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Class protos.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs (2.6.1)

Represents an AutoMlImageClassificationInputs.

Package

@google-cloud/aiplatform

Constructors

(constructor)(properties)

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

Constructs a new AutoMlImageClassificationInputs.

Parameter

Name	Description
`properties`	`IAutoMlImageClassificationInputs` Properties to set

Properties

baseModelId

public baseModelId: string;

AutoMlImageClassificationInputs baseModelId.

budgetMilliNodeHours

public budgetMilliNodeHours: (number|Long|string);

AutoMlImageClassificationInputs budgetMilliNodeHours.

disableEarlyStopping

public disableEarlyStopping: boolean;

AutoMlImageClassificationInputs disableEarlyStopping.

modelType

public modelType: (google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs.ModelType|keyof typeof google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs.ModelType);

AutoMlImageClassificationInputs modelType.

multiLabel

public multiLabel: boolean;

AutoMlImageClassificationInputs multiLabel.

Methods

create(properties)

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

Creates a new AutoMlImageClassificationInputs instance using the specified properties.

Parameter

Name	Description
`properties`	`IAutoMlImageClassificationInputs` Properties to set

Returns

Type	Description
`google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs`	AutoMlImageClassificationInputs instance

decode(reader, length)

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

Decodes an AutoMlImageClassificationInputs 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.AutoMlImageClassificationInputs`	AutoMlImageClassificationInputs

decodeDelimited(reader)

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

Decodes an AutoMlImageClassificationInputs 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.AutoMlImageClassificationInputs`	AutoMlImageClassificationInputs

encode(message, writer)

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

Encodes the specified AutoMlImageClassificationInputs message. Does not implicitly messages.

Parameters

Name	Description
`message`	`IAutoMlImageClassificationInputs` AutoMlImageClassificationInputs 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.IAutoMlImageClassificationInputs, writer?: $protobuf.Writer): $protobuf.Writer;

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

Parameters

Name	Description
`message`	`IAutoMlImageClassificationInputs` AutoMlImageClassificationInputs 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.AutoMlImageClassificationInputs;

Creates an AutoMlImageClassificationInputs 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.AutoMlImageClassificationInputs`	AutoMlImageClassificationInputs

getTypeUrl(typeUrlPrefix)

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

Gets the default type url for AutoMlImageClassificationInputs

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 AutoMlImageClassificationInputs to JSON.

Returns

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

toObject(message, options)

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

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

Parameters

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