Class protos.google.cloud.automl.v1beta1.Model

Represents a Model.

Package

@google-cloud/automl

Constructors

(constructor)(properties)

constructor(properties?: google.cloud.automl.v1beta1.IModel);

Constructs a new Model.

Parameter
NameDescription
properties IModel

Properties to set

Properties

createTime

public createTime?: (google.protobuf.ITimestamp|null);

Model createTime.

datasetId

public datasetId: string;

Model datasetId.

deploymentState

public deploymentState: (google.cloud.automl.v1beta1.Model.DeploymentState|keyof typeof google.cloud.automl.v1beta1.Model.DeploymentState);

Model deploymentState.

displayName

public displayName: string;

Model displayName.

imageClassificationModelMetadata

public imageClassificationModelMetadata?: (google.cloud.automl.v1beta1.IImageClassificationModelMetadata|null);

Model imageClassificationModelMetadata.

imageObjectDetectionModelMetadata

public imageObjectDetectionModelMetadata?: (google.cloud.automl.v1beta1.IImageObjectDetectionModelMetadata|null);

Model imageObjectDetectionModelMetadata.

modelMetadata

public modelMetadata?: ("translationModelMetadata"|"imageClassificationModelMetadata"|"textClassificationModelMetadata"|"imageObjectDetectionModelMetadata"|"videoClassificationModelMetadata"|"videoObjectTrackingModelMetadata"|"textExtractionModelMetadata"|"tablesModelMetadata"|"textSentimentModelMetadata");

Model modelMetadata.

name

public name: string;

Model name.

tablesModelMetadata

public tablesModelMetadata?: (google.cloud.automl.v1beta1.ITablesModelMetadata|null);

Model tablesModelMetadata.

textClassificationModelMetadata

public textClassificationModelMetadata?: (google.cloud.automl.v1beta1.ITextClassificationModelMetadata|null);

Model textClassificationModelMetadata.

textExtractionModelMetadata

public textExtractionModelMetadata?: (google.cloud.automl.v1beta1.ITextExtractionModelMetadata|null);

Model textExtractionModelMetadata.

textSentimentModelMetadata

public textSentimentModelMetadata?: (google.cloud.automl.v1beta1.ITextSentimentModelMetadata|null);

Model textSentimentModelMetadata.

translationModelMetadata

public translationModelMetadata?: (google.cloud.automl.v1beta1.ITranslationModelMetadata|null);

Model translationModelMetadata.

updateTime

public updateTime?: (google.protobuf.ITimestamp|null);

Model updateTime.

videoClassificationModelMetadata

public videoClassificationModelMetadata?: (google.cloud.automl.v1beta1.IVideoClassificationModelMetadata|null);

Model videoClassificationModelMetadata.

videoObjectTrackingModelMetadata

public videoObjectTrackingModelMetadata?: (google.cloud.automl.v1beta1.IVideoObjectTrackingModelMetadata|null);

Model videoObjectTrackingModelMetadata.

Methods

create(properties)

public static create(properties?: google.cloud.automl.v1beta1.IModel): google.cloud.automl.v1beta1.Model;

Creates a new Model instance using the specified properties.

Parameter
NameDescription
properties IModel

Properties to set

Returns
TypeDescription
google.cloud.automl.v1beta1.Model

Model instance

decode(reader, length)

public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.automl.v1beta1.Model;

Decodes a Model message from the specified reader or buffer.

Parameters
NameDescription
reader ($protobuf.Reader|Uint8Array)

Reader or buffer to decode from

length number

Message length if known beforehand

Returns
TypeDescription
google.cloud.automl.v1beta1.Model

Model

decodeDelimited(reader)

public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.automl.v1beta1.Model;

Decodes a Model message from the specified reader or buffer, length delimited.

Parameter
NameDescription
reader ($protobuf.Reader|Uint8Array)

Reader or buffer to decode from

Returns
TypeDescription
google.cloud.automl.v1beta1.Model

Model

encode(message, writer)

public static encode(message: google.cloud.automl.v1beta1.IModel, writer?: $protobuf.Writer): $protobuf.Writer;

Encodes the specified Model message. Does not implicitly messages.

Parameters
NameDescription
message IModel

Model message or plain object to encode

writer $protobuf.Writer

Writer to encode to

Returns
TypeDescription
$protobuf.Writer

Writer

encodeDelimited(message, writer)

public static encodeDelimited(message: google.cloud.automl.v1beta1.IModel, writer?: $protobuf.Writer): $protobuf.Writer;

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

Parameters
NameDescription
message IModel

Model message or plain object to encode

writer $protobuf.Writer

Writer to encode to

Returns
TypeDescription
$protobuf.Writer

Writer

fromObject(object)

public static fromObject(object: { [k: string]: any }): google.cloud.automl.v1beta1.Model;

Creates a Model message from a plain object. Also converts values to their respective internal types.

Parameter
NameDescription
object { [k: string]: any }

Plain object

Returns
TypeDescription
google.cloud.automl.v1beta1.Model

Model

toJSON()

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

Converts this Model to JSON.

Returns
TypeDescription
{ [k: string]: any }

JSON object

toObject(message, options)

public static toObject(message: google.cloud.automl.v1beta1.Model, options?: $protobuf.IConversionOptions): { [k: string]: any };

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

Parameters
NameDescription
message google.cloud.automl.v1beta1.Model

Model

options $protobuf.IConversionOptions

Conversion options

Returns
TypeDescription
{ [k: string]: any }

Plain object

verify(message)

public static verify(message: { [k: string]: any }): (string|null);

Verifies a Model message.

Parameter
NameDescription
message { [k: string]: any }

Plain object to verify

Returns
TypeDescription
(string|null)

null if valid, otherwise the reason why it is not