Class protos.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset (1.11.0)

Represents a TrainingDataset.

Package

Constructors

(constructor)(properties)

constructor(properties?: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingDataset);

Constructs a new TrainingDataset.

Parameter

Name	Description
properties	`ITrainingDataset` Properties to set

Properties

bigquerySource

public bigquerySource?: (google.cloud.aiplatform.v1beta1.IBigQuerySource|null);

TrainingDataset bigquerySource.

Property Value

Type	Description
(google.cloud.aiplatform.v1beta1.IBigQuerySource\|null)

dataFormat

public dataFormat: string;

TrainingDataset dataFormat.

Property Value

Type	Description
string

dataset

public dataset?: (string|null);

TrainingDataset dataset.

Property Value

Type	Description
(string\|null)

dataSource

public dataSource?: ("dataset"|"gcsSource"|"bigquerySource");

TrainingDataset dataSource.

Property Value

Type	Description
("dataset"\|"gcsSource"\|"bigquerySource")

gcsSource

public gcsSource?: (google.cloud.aiplatform.v1beta1.IGcsSource|null);

TrainingDataset gcsSource.

Property Value

Type	Description
(google.cloud.aiplatform.v1beta1.IGcsSource\|null)

loggingSamplingStrategy

public loggingSamplingStrategy?: (google.cloud.aiplatform.v1beta1.ISamplingStrategy|null);

TrainingDataset loggingSamplingStrategy.

Property Value

Type	Description
(google.cloud.aiplatform.v1beta1.ISamplingStrategy\|null)

targetField

public targetField: string;

TrainingDataset targetField.

Property Value

Type	Description
string

Methods

create(properties)

public static create(properties?: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingDataset): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset;

Creates a new TrainingDataset instance using the specified properties.

Parameter

Name	Description
properties	`ITrainingDataset` Properties to set

Returns

Type	Description
google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset	TrainingDataset instance

decode(reader, length)

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

Decodes a TrainingDataset 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.ModelMonitoringObjectiveConfig.TrainingDataset	TrainingDataset

decodeDelimited(reader)

public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset;

Decodes a TrainingDataset 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.ModelMonitoringObjectiveConfig.TrainingDataset	TrainingDataset

encode(message, writer)

public static encode(message: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingDataset, writer?: $protobuf.Writer): $protobuf.Writer;

Encodes the specified TrainingDataset message. Does not implicitly messages.

Parameters

Name	Description
message	`ITrainingDataset` TrainingDataset 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.ModelMonitoringObjectiveConfig.ITrainingDataset, writer?: $protobuf.Writer): $protobuf.Writer;

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

Parameters

Name	Description
message	`ITrainingDataset` TrainingDataset 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.ModelMonitoringObjectiveConfig.TrainingDataset;

Creates a TrainingDataset 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.ModelMonitoringObjectiveConfig.TrainingDataset	TrainingDataset

toJSON()

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

Converts this TrainingDataset to JSON.

Returns

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

toObject(message, options)

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

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

Parameters

Name	Description
message	`google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset` TrainingDataset
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 a TrainingDataset 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