Class protos.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob (2.6.1)

Represents a ModelDeploymentMonitoringJob.

Package

Constructors

(constructor)(properties)

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

Constructs a new ModelDeploymentMonitoringJob.

Parameter

Name	Description
`properties`	`IModelDeploymentMonitoringJob` Properties to set

Properties

analysisInstanceSchemaUri

public analysisInstanceSchemaUri: string;

ModelDeploymentMonitoringJob analysisInstanceSchemaUri.

bigqueryTables

public bigqueryTables: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringBigQueryTable[];

ModelDeploymentMonitoringJob bigqueryTables.

createTime

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

ModelDeploymentMonitoringJob createTime.

displayName

public displayName: string;

ModelDeploymentMonitoringJob displayName.

enableMonitoringPipelineLogs

public enableMonitoringPipelineLogs: boolean;

ModelDeploymentMonitoringJob enableMonitoringPipelineLogs.

encryptionSpec

public encryptionSpec?: (google.cloud.aiplatform.v1beta1.IEncryptionSpec|null);

ModelDeploymentMonitoringJob encryptionSpec.

endpoint

public endpoint: string;

ModelDeploymentMonitoringJob endpoint.

error

public error?: (google.rpc.IStatus|null);

ModelDeploymentMonitoringJob error.

labels

public labels: { [k: string]: string };

ModelDeploymentMonitoringJob labels.

latestMonitoringPipelineMetadata

public latestMonitoringPipelineMetadata?: (google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.ILatestMonitoringPipelineMetadata|null);

ModelDeploymentMonitoringJob latestMonitoringPipelineMetadata.

loggingSamplingStrategy

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

ModelDeploymentMonitoringJob loggingSamplingStrategy.

logTtl

public logTtl?: (google.protobuf.IDuration|null);

ModelDeploymentMonitoringJob logTtl.

modelDeploymentMonitoringObjectiveConfigs

public modelDeploymentMonitoringObjectiveConfigs: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringObjectiveConfig[];

ModelDeploymentMonitoringJob modelDeploymentMonitoringObjectiveConfigs.

modelDeploymentMonitoringScheduleConfig

public modelDeploymentMonitoringScheduleConfig?: (google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringScheduleConfig|null);

ModelDeploymentMonitoringJob modelDeploymentMonitoringScheduleConfig.

modelMonitoringAlertConfig

public modelMonitoringAlertConfig?: (google.cloud.aiplatform.v1beta1.IModelMonitoringAlertConfig|null);

ModelDeploymentMonitoringJob modelMonitoringAlertConfig.

name

public name: string;

ModelDeploymentMonitoringJob name.

nextScheduleTime

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

ModelDeploymentMonitoringJob nextScheduleTime.

predictInstanceSchemaUri

public predictInstanceSchemaUri: string;

ModelDeploymentMonitoringJob predictInstanceSchemaUri.

samplePredictInstance

public samplePredictInstance?: (google.protobuf.IValue|null);

ModelDeploymentMonitoringJob samplePredictInstance.

scheduleState

public scheduleState: (google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.MonitoringScheduleState|keyof typeof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.MonitoringScheduleState);

ModelDeploymentMonitoringJob scheduleState.

state

public state: (google.cloud.aiplatform.v1beta1.JobState|keyof typeof google.cloud.aiplatform.v1beta1.JobState);

ModelDeploymentMonitoringJob state.

statsAnomaliesBaseDirectory

public statsAnomaliesBaseDirectory?: (google.cloud.aiplatform.v1beta1.IGcsDestination|null);

ModelDeploymentMonitoringJob statsAnomaliesBaseDirectory.

updateTime

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

ModelDeploymentMonitoringJob updateTime.

Methods

create(properties)

public static create(properties?: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob;

Creates a new ModelDeploymentMonitoringJob instance using the specified properties.

Parameter

Name	Description
`properties`	`IModelDeploymentMonitoringJob` Properties to set

Returns

Type	Description
`google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob`	ModelDeploymentMonitoringJob instance

decode(reader, length)

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

Decodes a ModelDeploymentMonitoringJob 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.ModelDeploymentMonitoringJob`	ModelDeploymentMonitoringJob

decodeDelimited(reader)

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

Decodes a ModelDeploymentMonitoringJob 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.ModelDeploymentMonitoringJob`	ModelDeploymentMonitoringJob

encode(message, writer)

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

Encodes the specified ModelDeploymentMonitoringJob message. Does not implicitly messages.

Parameters

Name	Description
`message`	`IModelDeploymentMonitoringJob` ModelDeploymentMonitoringJob 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.IModelDeploymentMonitoringJob, writer?: $protobuf.Writer): $protobuf.Writer;

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

Parameters

Name	Description
`message`	`IModelDeploymentMonitoringJob` ModelDeploymentMonitoringJob 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.ModelDeploymentMonitoringJob;

Creates a ModelDeploymentMonitoringJob 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.ModelDeploymentMonitoringJob`	ModelDeploymentMonitoringJob

getTypeUrl(typeUrlPrefix)

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

Gets the default type url for ModelDeploymentMonitoringJob

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 ModelDeploymentMonitoringJob to JSON.

Returns

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

toObject(message, options)

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

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

Parameters

Name	Description
`message`	`google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob` ModelDeploymentMonitoringJob
`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 ModelDeploymentMonitoringJob 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