Class v1beta1.PipelineServiceClient (3.4.0)

Package

Constructors

(constructor)(opts, gaxInstance)

constructor(opts?: ClientOptions, gaxInstance?: typeof gax | typeof gax.fallback);

Properties

apiEndpoint

static get apiEndpoint(): string;

auth

auth: gax.GoogleAuth;

descriptors

descriptors: Descriptors;

iamClient

iamClient: IamClient;

innerApiCalls

innerApiCalls: {
        [name: string]: Function;
    };

locationsClient

locationsClient: LocationsClient;

operationsClient

operationsClient: gax.OperationsClient;

pathTemplates

pathTemplates: {
        [name: string]: gax.PathTemplate;
    };

pipelineServiceStub

pipelineServiceStub?: Promise<{
        [name: string]: Function;
    }>;

port

static get port(): number;

scopes

static get scopes(): string[];

servicePath

static get servicePath(): string;

warn

warn: (code: string, message: string, warnType?: string) => void;

Methods

annotationPath(project, location, dataset, dataItem, annotation)

annotationPath(project: string, location: string, dataset: string, dataItem: string, annotation: string): string;

annotationSpecPath(project, location, dataset, annotationSpec)

annotationSpecPath(project: string, location: string, dataset: string, annotationSpec: string): string;

artifactPath(project, location, metadataStore, artifact)

artifactPath(project: string, location: string, metadataStore: string, artifact: string): string;

batchPredictionJobPath(project, location, batchPredictionJob)

batchPredictionJobPath(project: string, location: string, batchPredictionJob: string): string;

cancelOperation(request, options, callback)

cancelOperation(request: protos.google.longrunning.CancelOperationRequest, options?: gax.CallOptions | Callback<protos.google.protobuf.Empty, protos.google.longrunning.CancelOperationRequest, {} | undefined | null>, callback?: Callback<protos.google.longrunning.CancelOperationRequest, protos.google.protobuf.Empty, {} | undefined | null>): Promise<protos.google.protobuf.Empty>;

const client = longrunning.operationsClient();
await client.cancelOperation({name: ''});

cancelPipelineJob(request, options)

cancelPipelineJob(request?: protos.google.cloud.aiplatform.v1beta1.ICancelPipelineJobRequest, options?: CallOptions): Promise<[
        protos.google.protobuf.IEmpty,
        (protos.google.cloud.aiplatform.v1beta1.ICancelPipelineJobRequest | undefined),
        {} | undefined
    ]>;

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The name of the PipelineJob to cancel.
   *  Format:
   *  `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`
   */
  // const name = 'abc123'

  // Imports the Aiplatform library
  const {PipelineServiceClient} = require('@google-cloud/aiplatform').v1beta1;

  // Instantiates a client
  const aiplatformClient = new PipelineServiceClient();

  async function callCancelPipelineJob() {
    // Construct request
    const request = {
      name,
    };

    // Run request
    const response = await aiplatformClient.cancelPipelineJob(request);
    console.log(response);
  }

  callCancelPipelineJob();

cancelPipelineJob(request, options, callback)

cancelPipelineJob(request: protos.google.cloud.aiplatform.v1beta1.ICancelPipelineJobRequest, options: CallOptions, callback: Callback<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1beta1.ICancelPipelineJobRequest | null | undefined, {} | null | undefined>): void;

cancelPipelineJob(request, callback)

cancelPipelineJob(request: protos.google.cloud.aiplatform.v1beta1.ICancelPipelineJobRequest, callback: Callback<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1beta1.ICancelPipelineJobRequest | null | undefined, {} | null | undefined>): void;

cancelTrainingPipeline(request, options)

cancelTrainingPipeline(request?: protos.google.cloud.aiplatform.v1beta1.ICancelTrainingPipelineRequest, options?: CallOptions): Promise<[
        protos.google.protobuf.IEmpty,
        (protos.google.cloud.aiplatform.v1beta1.ICancelTrainingPipelineRequest | undefined),
        {} | undefined
    ]>;

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The name of the TrainingPipeline to cancel.
   *  Format:
   *  `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
   */
  // const name = 'abc123'

  // Imports the Aiplatform library
  const {PipelineServiceClient} = require('@google-cloud/aiplatform').v1beta1;

  // Instantiates a client
  const aiplatformClient = new PipelineServiceClient();

  async function callCancelTrainingPipeline() {
    // Construct request
    const request = {
      name,
    };

    // Run request
    const response = await aiplatformClient.cancelTrainingPipeline(request);
    console.log(response);
  }

  callCancelTrainingPipeline();

cancelTrainingPipeline(request, options, callback)

cancelTrainingPipeline(request: protos.google.cloud.aiplatform.v1beta1.ICancelTrainingPipelineRequest, options: CallOptions, callback: Callback<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1beta1.ICancelTrainingPipelineRequest | null | undefined, {} | null | undefined>): void;

cancelTrainingPipeline(request, callback)

cancelTrainingPipeline(request: protos.google.cloud.aiplatform.v1beta1.ICancelTrainingPipelineRequest, callback: Callback<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1beta1.ICancelTrainingPipelineRequest | null | undefined, {} | null | undefined>): void;

checkDeletePipelineJobProgress(name)

checkDeletePipelineJobProgress(name: string): Promise<LROperation<protos.google.protobuf.Empty, protos.google.cloud.aiplatform.v1beta1.DeleteOperationMetadata>>;

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The name of the PipelineJob resource to be deleted.
   *  Format:
   *  `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`
   */
  // const name = 'abc123'

  // Imports the Aiplatform library
  const {PipelineServiceClient} = require('@google-cloud/aiplatform').v1beta1;

  // Instantiates a client
  const aiplatformClient = new PipelineServiceClient();

  async function callDeletePipelineJob() {
    // Construct request
    const request = {
      name,
    };

    // Run request
    const [operation] = await aiplatformClient.deletePipelineJob(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callDeletePipelineJob();

checkDeleteTrainingPipelineProgress(name)

checkDeleteTrainingPipelineProgress(name: string): Promise<LROperation<protos.google.protobuf.Empty, protos.google.cloud.aiplatform.v1beta1.DeleteOperationMetadata>>;

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The name of the TrainingPipeline resource to be deleted.
   *  Format:
   *  `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
   */
  // const name = 'abc123'

  // Imports the Aiplatform library
  const {PipelineServiceClient} = require('@google-cloud/aiplatform').v1beta1;

  // Instantiates a client
  const aiplatformClient = new PipelineServiceClient();

  async function callDeleteTrainingPipeline() {
    // Construct request
    const request = {
      name,
    };

    // Run request
    const [operation] = await aiplatformClient.deleteTrainingPipeline(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callDeleteTrainingPipeline();

close()

close(): Promise<void>;

contextPath(project, location, metadataStore, context)

contextPath(project: string, location: string, metadataStore: string, context: string): string;

createPipelineJob(request, options)

createPipelineJob(request?: protos.google.cloud.aiplatform.v1beta1.ICreatePipelineJobRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1beta1.IPipelineJob,
        (protos.google.cloud.aiplatform.v1beta1.ICreatePipelineJobRequest | undefined),
        {} | undefined
    ]>;

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The resource name of the Location to create the PipelineJob in.
   *  Format: `projects/{project}/locations/{location}`
   */
  // const parent = 'abc123'
  /**
   *  Required. The PipelineJob to create.
   */
  // const pipelineJob = {}
  /**
   *  The ID to use for the PipelineJob, which will become the final component of
   *  the PipelineJob name. If not provided, an ID will be automatically
   *  generated.
   *  This value should be less than 128 characters, and valid characters
   *  are `/[a-z][0-9]-/`.
   */
  // const pipelineJobId = 'abc123'

  // Imports the Aiplatform library
  const {PipelineServiceClient} = require('@google-cloud/aiplatform').v1beta1;

  // Instantiates a client
  const aiplatformClient = new PipelineServiceClient();

  async function callCreatePipelineJob() {
    // Construct request
    const request = {
      parent,
      pipelineJob,
    };

    // Run request
    const response = await aiplatformClient.createPipelineJob(request);
    console.log(response);
  }

  callCreatePipelineJob();

createPipelineJob(request, options, callback)

createPipelineJob(request: protos.google.cloud.aiplatform.v1beta1.ICreatePipelineJobRequest, options: CallOptions, callback: Callback<protos.google.cloud.aiplatform.v1beta1.IPipelineJob, protos.google.cloud.aiplatform.v1beta1.ICreatePipelineJobRequest | null | undefined, {} | null | undefined>): void;

createPipelineJob(request, callback)

createPipelineJob(request: protos.google.cloud.aiplatform.v1beta1.ICreatePipelineJobRequest, callback: Callback<protos.google.cloud.aiplatform.v1beta1.IPipelineJob, protos.google.cloud.aiplatform.v1beta1.ICreatePipelineJobRequest | null | undefined, {} | null | undefined>): void;

createTrainingPipeline(request, options)

createTrainingPipeline(request?: protos.google.cloud.aiplatform.v1beta1.ICreateTrainingPipelineRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1beta1.ITrainingPipeline,
        (protos.google.cloud.aiplatform.v1beta1.ICreateTrainingPipelineRequest | undefined),
        {} | undefined
    ]>;

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The resource name of the Location to create the TrainingPipeline
   *  in. Format: `projects/{project}/locations/{location}`
   */
  // const parent = 'abc123'
  /**
   *  Required. The TrainingPipeline to create.
   */
  // const trainingPipeline = {}

  // Imports the Aiplatform library
  const {PipelineServiceClient} = require('@google-cloud/aiplatform').v1beta1;

  // Instantiates a client
  const aiplatformClient = new PipelineServiceClient();

  async function callCreateTrainingPipeline() {
    // Construct request
    const request = {
      parent,
      trainingPipeline,
    };

    // Run request
    const response = await aiplatformClient.createTrainingPipeline(request);
    console.log(response);
  }

  callCreateTrainingPipeline();

createTrainingPipeline(request, options, callback)

createTrainingPipeline(request: protos.google.cloud.aiplatform.v1beta1.ICreateTrainingPipelineRequest, options: CallOptions, callback: Callback<protos.google.cloud.aiplatform.v1beta1.ITrainingPipeline, protos.google.cloud.aiplatform.v1beta1.ICreateTrainingPipelineRequest | null | undefined, {} | null | undefined>): void;

createTrainingPipeline(request, callback)

createTrainingPipeline(request: protos.google.cloud.aiplatform.v1beta1.ICreateTrainingPipelineRequest, callback: Callback<protos.google.cloud.aiplatform.v1beta1.ITrainingPipeline, protos.google.cloud.aiplatform.v1beta1.ICreateTrainingPipelineRequest | null | undefined, {} | null | undefined>): void;

customJobPath(project, location, customJob)

customJobPath(project: string, location: string, customJob: string): string;

dataItemPath(project, location, dataset, dataItem)

dataItemPath(project: string, location: string, dataset: string, dataItem: string): string;

dataLabelingJobPath(project, location, dataLabelingJob)

dataLabelingJobPath(project: string, location: string, dataLabelingJob: string): string;

datasetPath(project, location, dataset)

datasetPath(project: string, location: string, dataset: string): string;

datasetVersionPath(project, location, dataset, datasetVersion)

datasetVersionPath(project: string, location: string, dataset: string, datasetVersion: string): string;

deleteOperation(request, options, callback)

deleteOperation(request: protos.google.longrunning.DeleteOperationRequest, options?: gax.CallOptions | Callback<protos.google.protobuf.Empty, protos.google.longrunning.DeleteOperationRequest, {} | null | undefined>, callback?: Callback<protos.google.protobuf.Empty, protos.google.longrunning.DeleteOperationRequest, {} | null | undefined>): Promise<protos.google.protobuf.Empty>;

const client = longrunning.operationsClient();
await client.deleteOperation({name: ''});

deletePipelineJob(request, options)

deletePipelineJob(request?: protos.google.cloud.aiplatform.v1beta1.IDeletePipelineJobRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1beta1.IDeleteOperationMetadata>,
        protos.google.longrunning.IOperation | undefined,
        {} | undefined
    ]>;

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The name of the PipelineJob resource to be deleted.
   *  Format:
   *  `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`
   */
  // const name = 'abc123'

  // Imports the Aiplatform library
  const {PipelineServiceClient} = require('@google-cloud/aiplatform').v1beta1;

  // Instantiates a client
  const aiplatformClient = new PipelineServiceClient();

  async function callDeletePipelineJob() {
    // Construct request
    const request = {
      name,
    };

    // Run request
    const [operation] = await aiplatformClient.deletePipelineJob(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callDeletePipelineJob();

deletePipelineJob(request, options, callback)

deletePipelineJob(request: protos.google.cloud.aiplatform.v1beta1.IDeletePipelineJobRequest, options: CallOptions, callback: Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1beta1.IDeleteOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

deletePipelineJob(request, callback)

deletePipelineJob(request: protos.google.cloud.aiplatform.v1beta1.IDeletePipelineJobRequest, callback: Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1beta1.IDeleteOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

deleteTrainingPipeline(request, options)

deleteTrainingPipeline(request?: protos.google.cloud.aiplatform.v1beta1.IDeleteTrainingPipelineRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1beta1.IDeleteOperationMetadata>,
        protos.google.longrunning.IOperation | undefined,
        {} | undefined
    ]>;

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The name of the TrainingPipeline resource to be deleted.
   *  Format:
   *  `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
   */
  // const name = 'abc123'

  // Imports the Aiplatform library
  const {PipelineServiceClient} = require('@google-cloud/aiplatform').v1beta1;

  // Instantiates a client
  const aiplatformClient = new PipelineServiceClient();

  async function callDeleteTrainingPipeline() {
    // Construct request
    const request = {
      name,
    };

    // Run request
    const [operation] = await aiplatformClient.deleteTrainingPipeline(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callDeleteTrainingPipeline();

deleteTrainingPipeline(request, options, callback)

deleteTrainingPipeline(request: protos.google.cloud.aiplatform.v1beta1.IDeleteTrainingPipelineRequest, options: CallOptions, callback: Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1beta1.IDeleteOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

deleteTrainingPipeline(request, callback)

deleteTrainingPipeline(request: protos.google.cloud.aiplatform.v1beta1.IDeleteTrainingPipelineRequest, callback: Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1beta1.IDeleteOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

deploymentResourcePoolPath(project, location, deploymentResourcePool)

deploymentResourcePoolPath(project: string, location: string, deploymentResourcePool: string): string;

entityTypePath(project, location, featurestore, entityType)

entityTypePath(project: string, location: string, featurestore: string, entityType: string): string;

executionPath(project, location, metadataStore, execution)

executionPath(project: string, location: string, metadataStore: string, execution: string): string;

featureGroupPath(project, location, featureGroup)

featureGroupPath(project: string, location: string, featureGroup: string): string;

featureOnlineStorePath(project, location, featureOnlineStore)

featureOnlineStorePath(project: string, location: string, featureOnlineStore: string): string;

featurestorePath(project, location, featurestore)

featurestorePath(project: string, location: string, featurestore: string): string;

featureViewPath(project, location, featureOnlineStore, featureView)

featureViewPath(project: string, location: string, featureOnlineStore: string, featureView: string): string;

featureViewSyncPath(project, location, featureOnlineStore, featureView)

featureViewSyncPath(project: string, location: string, featureOnlineStore: string, featureView: string): string;

getIamPolicy(request, options, callback)

getIamPolicy(request: IamProtos.google.iam.v1.GetIamPolicyRequest, options?: gax.CallOptions | Callback<IamProtos.google.iam.v1.Policy, IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined, {} | null | undefined>, callback?: Callback<IamProtos.google.iam.v1.Policy, IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined, {} | null | undefined>): Promise<[IamProtos.google.iam.v1.Policy]>;

getLocation(request, options, callback)

getLocation(request: LocationProtos.google.cloud.location.IGetLocationRequest, options?: gax.CallOptions | Callback<LocationProtos.google.cloud.location.ILocation, LocationProtos.google.cloud.location.IGetLocationRequest | null | undefined, {} | null | undefined>, callback?: Callback<LocationProtos.google.cloud.location.ILocation, LocationProtos.google.cloud.location.IGetLocationRequest | null | undefined, {} | null | undefined>): Promise<LocationProtos.google.cloud.location.ILocation>;

const [response] = await client.getLocation(request);

getOperation(request, options, callback)

getOperation(request: protos.google.longrunning.GetOperationRequest, options?: gax.CallOptions | Callback<protos.google.longrunning.Operation, protos.google.longrunning.GetOperationRequest, {} | null | undefined>, callback?: Callback<protos.google.longrunning.Operation, protos.google.longrunning.GetOperationRequest, {} | null | undefined>): Promise<[protos.google.longrunning.Operation]>;

const client = longrunning.operationsClient();
const name = '';
const [response] = await client.getOperation({name});
// doThingsWith(response)

getPipelineJob(request, options)

getPipelineJob(request?: protos.google.cloud.aiplatform.v1beta1.IGetPipelineJobRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1beta1.IPipelineJob,
        protos.google.cloud.aiplatform.v1beta1.IGetPipelineJobRequest | undefined,
        {} | undefined
    ]>;

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The name of the PipelineJob resource.
   *  Format:
   *  `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`
   */
  // const name = 'abc123'

  // Imports the Aiplatform library
  const {PipelineServiceClient} = require('@google-cloud/aiplatform').v1beta1;

  // Instantiates a client
  const aiplatformClient = new PipelineServiceClient();

  async function callGetPipelineJob() {
    // Construct request
    const request = {
      name,
    };

    // Run request
    const response = await aiplatformClient.getPipelineJob(request);
    console.log(response);
  }

  callGetPipelineJob();

getPipelineJob(request, options, callback)

getPipelineJob(request: protos.google.cloud.aiplatform.v1beta1.IGetPipelineJobRequest, options: CallOptions, callback: Callback<protos.google.cloud.aiplatform.v1beta1.IPipelineJob, protos.google.cloud.aiplatform.v1beta1.IGetPipelineJobRequest | null | undefined, {} | null | undefined>): void;

getPipelineJob(request, callback)

getPipelineJob(request: protos.google.cloud.aiplatform.v1beta1.IGetPipelineJobRequest, callback: Callback<protos.google.cloud.aiplatform.v1beta1.IPipelineJob, protos.google.cloud.aiplatform.v1beta1.IGetPipelineJobRequest | null | undefined, {} | null | undefined>): void;

getProjectId()

getProjectId(): Promise<string>;

getProjectId(callback)

getProjectId(callback: Callback<string, undefined, undefined>): void;

getTrainingPipeline(request, options)

getTrainingPipeline(request?: protos.google.cloud.aiplatform.v1beta1.IGetTrainingPipelineRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1beta1.ITrainingPipeline,
        (protos.google.cloud.aiplatform.v1beta1.IGetTrainingPipelineRequest | undefined),
        {} | undefined
    ]>;

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The name of the TrainingPipeline resource.
   *  Format:
   *  `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
   */
  // const name = 'abc123'

  // Imports the Aiplatform library
  const {PipelineServiceClient} = require('@google-cloud/aiplatform').v1beta1;

  // Instantiates a client
  const aiplatformClient = new PipelineServiceClient();

  async function callGetTrainingPipeline() {
    // Construct request
    const request = {
      name,
    };

    // Run request
    const response = await aiplatformClient.getTrainingPipeline(request);
    console.log(response);
  }

  callGetTrainingPipeline();

getTrainingPipeline(request, options, callback)

getTrainingPipeline(request: protos.google.cloud.aiplatform.v1beta1.IGetTrainingPipelineRequest, options: CallOptions, callback: Callback<protos.google.cloud.aiplatform.v1beta1.ITrainingPipeline, protos.google.cloud.aiplatform.v1beta1.IGetTrainingPipelineRequest | null | undefined, {} | null | undefined>): void;

getTrainingPipeline(request, callback)

getTrainingPipeline(request: protos.google.cloud.aiplatform.v1beta1.IGetTrainingPipelineRequest, callback: Callback<protos.google.cloud.aiplatform.v1beta1.ITrainingPipeline, protos.google.cloud.aiplatform.v1beta1.IGetTrainingPipelineRequest | null | undefined, {} | null | undefined>): void;

hyperparameterTuningJobPath(project, location, hyperparameterTuningJob)

hyperparameterTuningJobPath(project: string, location: string, hyperparameterTuningJob: string): string;

indexEndpointPath(project, location, indexEndpoint)

indexEndpointPath(project: string, location: string, indexEndpoint: string): string;

indexPath(project, location, index)

indexPath(project: string, location: string, index: string): string;

initialize()

initialize(): Promise<{
        [name: string]: Function;
    }>;

listLocationsAsync(request, options)

listLocationsAsync(request: LocationProtos.google.cloud.location.IListLocationsRequest, options?: CallOptions): AsyncIterable<LocationProtos.google.cloud.location.ILocation>;

const iterable = client.listLocationsAsync(request);
for await (const response of iterable) {
  // process response
}

listOperationsAsync(request, options)

listOperationsAsync(request: protos.google.longrunning.ListOperationsRequest, options?: gax.CallOptions): AsyncIterable<protos.google.longrunning.ListOperationsResponse>;

const client = longrunning.operationsClient();
for await (const response of client.listOperationsAsync(request));
// doThingsWith(response)

listPipelineJobs(request, options)

listPipelineJobs(request?: protos.google.cloud.aiplatform.v1beta1.IListPipelineJobsRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1beta1.IPipelineJob[],
        protos.google.cloud.aiplatform.v1beta1.IListPipelineJobsRequest | null,
        protos.google.cloud.aiplatform.v1beta1.IListPipelineJobsResponse
    ]>;

listPipelineJobs(request, options, callback)

listPipelineJobs(request: protos.google.cloud.aiplatform.v1beta1.IListPipelineJobsRequest, options: CallOptions, callback: PaginationCallback<protos.google.cloud.aiplatform.v1beta1.IListPipelineJobsRequest, protos.google.cloud.aiplatform.v1beta1.IListPipelineJobsResponse | null | undefined, protos.google.cloud.aiplatform.v1beta1.IPipelineJob>): void;

listPipelineJobs(request, callback)

listPipelineJobs(request: protos.google.cloud.aiplatform.v1beta1.IListPipelineJobsRequest, callback: PaginationCallback<protos.google.cloud.aiplatform.v1beta1.IListPipelineJobsRequest, protos.google.cloud.aiplatform.v1beta1.IListPipelineJobsResponse | null | undefined, protos.google.cloud.aiplatform.v1beta1.IPipelineJob>): void;

listPipelineJobsAsync(request, options)

listPipelineJobsAsync(request?: protos.google.cloud.aiplatform.v1beta1.IListPipelineJobsRequest, options?: CallOptions): AsyncIterable<protos.google.cloud.aiplatform.v1beta1.IPipelineJob>;

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The resource name of the Location to list the PipelineJobs from.
   *  Format: `projects/{project}/locations/{location}`
   */
  // const parent = 'abc123'
  /**
   *  Lists the PipelineJobs that match the filter expression. The following
   *  fields are supported:
   *  * `pipeline_name`: Supports `=` and `!=` comparisons.
   *  * `display_name`: Supports `=`, `!=` comparisons, and `:` wildcard.
   *  * `pipeline_job_user_id`: Supports `=`, `!=` comparisons, and `:` wildcard.
   *    for example, can check if pipeline's display_name contains *step* by
   *    doing display_name:\"*step*\"
   *  * `state`: Supports `=` and `!=` comparisons.
   *  * `create_time`: Supports `=`, `!=`, `<`, `="">`, `<=`, and="" `="">=` comparisons.
   *    Values must be in RFC 3339 format.
   *  * `update_time`: Supports `=`, `!=`, `<`, `="">`, `<=`, and="" `="">=` comparisons.
   *    Values must be in RFC 3339 format.
   *  * `end_time`: Supports `=`, `!=`, `<`, `="">`, `<=`, and="" `="">=` comparisons.
   *    Values must be in RFC 3339 format.
   *  * `labels`: Supports key-value equality and key presence.
   *  * `template_uri`: Supports `=`, `!=` comparisons, and `:` wildcard.
   *  * `template_metadata.version`: Supports `=`, `!=` comparisons, and `:`
   *    wildcard.
   *  Filter expressions can be combined together using logical operators
   *  (`AND` & `OR`).
   *  For example: `pipeline_name="test" AND create_time>"2020-05-18T13:30:00Z"`.
   *  The syntax to define filter expression is based on
   *  https://google.aip.dev/160.
   *  Examples:
   *  * `create_time>"2021-05-18T00:00:00Z" OR
   *    update_time>"2020-05-18T00:00:00Z"` PipelineJobs created or updated
   *    after 2020-05-18 00:00:00 UTC.
   *  * `labels.env = "prod"`
   *    PipelineJobs with label "env" set to "prod".
   */
  // const filter = 'abc123'
  /**
   *  The standard list page size.
   */
  // const pageSize = 1234
  /**
   *  The standard list page token.
   *  Typically obtained via
   *  ListPipelineJobsResponse.next_page_token google.cloud.aiplatform.v1beta1.ListPipelineJobsResponse.next_page_token 
   *  of the previous
   *  PipelineService.ListPipelineJobs google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs 
   *  call.
   */
  // const pageToken = 'abc123'
  /**
   *  A comma-separated list of fields to order by. The default sort order is in
   *  ascending order. Use "desc" after a field name for descending. You can have
   *  multiple order_by fields provided e.g. "create_time desc, end_time",
   *  "end_time, start_time, update_time" For example, using "create_time desc,
   *  end_time" will order results by create time in descending order, and if
   *  there are multiple jobs having the same create time, order them by the end
   *  time in ascending order. if order_by is not specified, it will order by
   *  default order is create time in descending order. Supported fields:
   *    * `create_time`
   *    * `update_time`
   *    * `end_time`
   *    * `start_time`
   */
  // const orderBy = 'abc123'
  /**
   *  Mask specifying which fields to read.
   */
  // const readMask = {}

  // Imports the Aiplatform library
  const {PipelineServiceClient} = require('@google-cloud/aiplatform').v1beta1;

  // Instantiates a client
  const aiplatformClient = new PipelineServiceClient();

  async function callListPipelineJobs() {
    // Construct request
    const request = {
      parent,
    };

    // Run request
    const iterable = await aiplatformClient.listPipelineJobsAsync(request);
    for await (const response of iterable) {
        console.log(response);
    }
  }

  callListPipelineJobs();

listPipelineJobsStream(request, options)

listPipelineJobsStream(request?: protos.google.cloud.aiplatform.v1beta1.IListPipelineJobsRequest, options?: CallOptions): Transform;

listTrainingPipelines(request, options)

listTrainingPipelines(request?: protos.google.cloud.aiplatform.v1beta1.IListTrainingPipelinesRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1beta1.ITrainingPipeline[],
        protos.google.cloud.aiplatform.v1beta1.IListTrainingPipelinesRequest | null,
        protos.google.cloud.aiplatform.v1beta1.IListTrainingPipelinesResponse
    ]>;

listTrainingPipelines(request, options, callback)

listTrainingPipelines(request: protos.google.cloud.aiplatform.v1beta1.IListTrainingPipelinesRequest, options: CallOptions, callback: PaginationCallback<protos.google.cloud.aiplatform.v1beta1.IListTrainingPipelinesRequest, protos.google.cloud.aiplatform.v1beta1.IListTrainingPipelinesResponse | null | undefined, protos.google.cloud.aiplatform.v1beta1.ITrainingPipeline>): void;

listTrainingPipelines(request, callback)

listTrainingPipelines(request: protos.google.cloud.aiplatform.v1beta1.IListTrainingPipelinesRequest, callback: PaginationCallback<protos.google.cloud.aiplatform.v1beta1.IListTrainingPipelinesRequest, protos.google.cloud.aiplatform.v1beta1.IListTrainingPipelinesResponse | null | undefined, protos.google.cloud.aiplatform.v1beta1.ITrainingPipeline>): void;

listTrainingPipelinesAsync(request, options)

listTrainingPipelinesAsync(request?: protos.google.cloud.aiplatform.v1beta1.IListTrainingPipelinesRequest, options?: CallOptions): AsyncIterable<protos.google.cloud.aiplatform.v1beta1.ITrainingPipeline>;

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The resource name of the Location to list the TrainingPipelines
   *  from. Format: `projects/{project}/locations/{location}`
   */
  // const parent = 'abc123'
  /**
   *  The standard list filter.
   *  Supported fields:
   *    * `display_name` supports `=`, `!=` comparisons, and `:` wildcard.
   *    * `state` supports `=`, `!=` comparisons.
   *    * `training_task_definition` `=`, `!=` comparisons, and `:` wildcard.
   *    * `create_time` supports `=`, `!=`,`<`,><=`,`>`, `>=` comparisons.
   *      `create_time` must be in RFC 3339 format.
   *    * `labels` supports general map functions that is:
   *      `labels.key=value` - key:value equality
   *      `labels.key:* - key existence
   *  Some examples of using the filter are:
   *    * `state="PIPELINE_STATE_SUCCEEDED" AND display_name:"my_pipeline_*"`
   *    * `state!="PIPELINE_STATE_FAILED" OR display_name="my_pipeline"`
   *    * `NOT display_name="my_pipeline"`
   *    * `create_time>"2021-05-18T00:00:00Z"`
   *    * `training_task_definition:"*automl_text_classification*"`
   */
  // const filter = 'abc123'
  /**
   *  The standard list page size.
   */
  // const pageSize = 1234
  /**
   *  The standard list page token.
   *  Typically obtained via
   *  ListTrainingPipelinesResponse.next_page_token google.cloud.aiplatform.v1beta1.ListTrainingPipelinesResponse.next_page_token 
   *  of the previous
   *  PipelineService.ListTrainingPipelines google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines 
   *  call.
   */
  // const pageToken = 'abc123'
  /**
   *  Mask specifying which fields to read.
   */
  // const readMask = {}

  // Imports the Aiplatform library
  const {PipelineServiceClient} = require('@google-cloud/aiplatform').v1beta1;

  // Instantiates a client
  const aiplatformClient = new PipelineServiceClient();

  async function callListTrainingPipelines() {
    // Construct request
    const request = {
      parent,
    };

    // Run request
    const iterable = await aiplatformClient.listTrainingPipelinesAsync(request);
    for await (const response of iterable) {
        console.log(response);
    }
  }

  callListTrainingPipelines();

listTrainingPipelinesStream(request, options)

listTrainingPipelinesStream(request?: protos.google.cloud.aiplatform.v1beta1.IListTrainingPipelinesRequest, options?: CallOptions): Transform;

locationPath(project, location)

locationPath(project: string, location: string): string;

matchAnnotationFromAnnotationName(annotationName)

matchAnnotationFromAnnotationName(annotationName: string): string | number;

matchAnnotationSpecFromAnnotationSpecName(annotationSpecName)

matchAnnotationSpecFromAnnotationSpecName(annotationSpecName: string): string | number;

matchArtifactFromArtifactName(artifactName)

matchArtifactFromArtifactName(artifactName: string): string | number;

matchBatchPredictionJobFromBatchPredictionJobName(batchPredictionJobName)

matchBatchPredictionJobFromBatchPredictionJobName(batchPredictionJobName: string): string | number;

matchContextFromContextName(contextName)

matchContextFromContextName(contextName: string): string | number;

matchCustomJobFromCustomJobName(customJobName)

matchCustomJobFromCustomJobName(customJobName: string): string | number;

matchDataItemFromAnnotationName(annotationName)

matchDataItemFromAnnotationName(annotationName: string): string | number;

matchDataItemFromDataItemName(dataItemName)

matchDataItemFromDataItemName(dataItemName: string): string | number;

matchDataLabelingJobFromDataLabelingJobName(dataLabelingJobName)

matchDataLabelingJobFromDataLabelingJobName(dataLabelingJobName: string): string | number;

matchDatasetFromAnnotationName(annotationName)

matchDatasetFromAnnotationName(annotationName: string): string | number;

matchDatasetFromAnnotationSpecName(annotationSpecName)

matchDatasetFromAnnotationSpecName(annotationSpecName: string): string | number;

matchDatasetFromDataItemName(dataItemName)

matchDatasetFromDataItemName(dataItemName: string): string | number;

matchDatasetFromDatasetName(datasetName)

matchDatasetFromDatasetName(datasetName: string): string | number;

matchDatasetFromDatasetVersionName(datasetVersionName)

matchDatasetFromDatasetVersionName(datasetVersionName: string): string | number;

matchDatasetFromSavedQueryName(savedQueryName)

matchDatasetFromSavedQueryName(savedQueryName: string): string | number;

matchDatasetVersionFromDatasetVersionName(datasetVersionName)

matchDatasetVersionFromDatasetVersionName(datasetVersionName: string): string | number;

matchDeploymentResourcePoolFromDeploymentResourcePoolName(deploymentResourcePoolName)

matchDeploymentResourcePoolFromDeploymentResourcePoolName(deploymentResourcePoolName: string): string | number;

matchEndpointFromProjectLocationEndpointName(projectLocationEndpointName)

matchEndpointFromProjectLocationEndpointName(projectLocationEndpointName: string): string | number;

matchEntityTypeFromEntityTypeName(entityTypeName)

matchEntityTypeFromEntityTypeName(entityTypeName: string): string | number;

matchEntityTypeFromProjectLocationFeaturestoreEntityTypeFeatureName(projectLocationFeaturestoreEntityTypeFeatureName)

matchEntityTypeFromProjectLocationFeaturestoreEntityTypeFeatureName(projectLocationFeaturestoreEntityTypeFeatureName: string): string | number;

matchEvaluationFromModelEvaluationName(modelEvaluationName)

matchEvaluationFromModelEvaluationName(modelEvaluationName: string): string | number;

matchEvaluationFromModelEvaluationSliceName(modelEvaluationSliceName)

matchEvaluationFromModelEvaluationSliceName(modelEvaluationSliceName: string): string | number;

matchExecutionFromExecutionName(executionName)

matchExecutionFromExecutionName(executionName: string): string | number;

matchExperimentFromTensorboardExperimentName(tensorboardExperimentName)

matchExperimentFromTensorboardExperimentName(tensorboardExperimentName: string): string | number;

matchExperimentFromTensorboardRunName(tensorboardRunName)

matchExperimentFromTensorboardRunName(tensorboardRunName: string): string | number;

matchExperimentFromTensorboardTimeSeriesName(tensorboardTimeSeriesName)

matchExperimentFromTensorboardTimeSeriesName(tensorboardTimeSeriesName: string): string | number;

matchFeatureFromProjectLocationFeatureGroupFeatureName(projectLocationFeatureGroupFeatureName)

matchFeatureFromProjectLocationFeatureGroupFeatureName(projectLocationFeatureGroupFeatureName: string): string | number;

matchFeatureFromProjectLocationFeaturestoreEntityTypeFeatureName(projectLocationFeaturestoreEntityTypeFeatureName)

matchFeatureFromProjectLocationFeaturestoreEntityTypeFeatureName(projectLocationFeaturestoreEntityTypeFeatureName: string): string | number;

matchFeatureGroupFromFeatureGroupName(featureGroupName)

matchFeatureGroupFromFeatureGroupName(featureGroupName: string): string | number;

matchFeatureGroupFromProjectLocationFeatureGroupFeatureName(projectLocationFeatureGroupFeatureName)

matchFeatureGroupFromProjectLocationFeatureGroupFeatureName(projectLocationFeatureGroupFeatureName: string): string | number;

matchFeatureOnlineStoreFromFeatureOnlineStoreName(featureOnlineStoreName)

matchFeatureOnlineStoreFromFeatureOnlineStoreName(featureOnlineStoreName: string): string | number;

matchFeatureOnlineStoreFromFeatureViewName(featureViewName)

matchFeatureOnlineStoreFromFeatureViewName(featureViewName: string): string | number;

matchFeatureOnlineStoreFromFeatureViewSyncName(featureViewSyncName)

matchFeatureOnlineStoreFromFeatureViewSyncName(featureViewSyncName: string): string | number;

matchFeaturestoreFromEntityTypeName(entityTypeName)

matchFeaturestoreFromEntityTypeName(entityTypeName: string): string | number;

matchFeaturestoreFromFeaturestoreName(featurestoreName)

matchFeaturestoreFromFeaturestoreName(featurestoreName: string): string | number;

matchFeaturestoreFromProjectLocationFeaturestoreEntityTypeFeatureName(projectLocationFeaturestoreEntityTypeFeatureName)

matchFeaturestoreFromProjectLocationFeaturestoreEntityTypeFeatureName(projectLocationFeaturestoreEntityTypeFeatureName: string): string | number;

matchFeatureViewFromFeatureViewName(featureViewName)

matchFeatureViewFromFeatureViewName(featureViewName: string): string | number;

matchFeatureViewFromFeatureViewSyncName(featureViewSyncName)

matchFeatureViewFromFeatureViewSyncName(featureViewSyncName: string): string | number;

matchHyperparameterTuningJobFromHyperparameterTuningJobName(hyperparameterTuningJobName)

matchHyperparameterTuningJobFromHyperparameterTuningJobName(hyperparameterTuningJobName: string): string | number;

matchIndexEndpointFromIndexEndpointName(indexEndpointName)

matchIndexEndpointFromIndexEndpointName(indexEndpointName: string): string | number;

matchIndexFromIndexName(indexName)

matchIndexFromIndexName(indexName: string): string | number;

matchLocationFromAnnotationName(annotationName)

matchLocationFromAnnotationName(annotationName: string): string | number;

matchLocationFromAnnotationSpecName(annotationSpecName)

matchLocationFromAnnotationSpecName(annotationSpecName: string): string | number;

matchLocationFromArtifactName(artifactName)

matchLocationFromArtifactName(artifactName: string): string | number;

matchLocationFromBatchPredictionJobName(batchPredictionJobName)

matchLocationFromBatchPredictionJobName(batchPredictionJobName: string): string | number;

matchLocationFromContextName(contextName)

matchLocationFromContextName(contextName: string): string | number;

matchLocationFromCustomJobName(customJobName)

matchLocationFromCustomJobName(customJobName: string): string | number;

matchLocationFromDataItemName(dataItemName)

matchLocationFromDataItemName(dataItemName: string): string | number;

matchLocationFromDataLabelingJobName(dataLabelingJobName)

matchLocationFromDataLabelingJobName(dataLabelingJobName: string): string | number;

matchLocationFromDatasetName(datasetName)

matchLocationFromDatasetName(datasetName: string): string | number;

matchLocationFromDatasetVersionName(datasetVersionName)

matchLocationFromDatasetVersionName(datasetVersionName: string): string | number;

matchLocationFromDeploymentResourcePoolName(deploymentResourcePoolName)

matchLocationFromDeploymentResourcePoolName(deploymentResourcePoolName: string): string | number;

matchLocationFromEntityTypeName(entityTypeName)

matchLocationFromEntityTypeName(entityTypeName: string): string | number;

matchLocationFromExecutionName(executionName)

matchLocationFromExecutionName(executionName: string): string | number;

matchLocationFromFeatureGroupName(featureGroupName)

matchLocationFromFeatureGroupName(featureGroupName: string): string | number;

matchLocationFromFeatureOnlineStoreName(featureOnlineStoreName)

matchLocationFromFeatureOnlineStoreName(featureOnlineStoreName: string): string | number;

matchLocationFromFeaturestoreName(featurestoreName)

matchLocationFromFeaturestoreName(featurestoreName: string): string | number;

matchLocationFromFeatureViewName(featureViewName)

matchLocationFromFeatureViewName(featureViewName: string): string | number;

matchLocationFromFeatureViewSyncName(featureViewSyncName)

matchLocationFromFeatureViewSyncName(featureViewSyncName: string): string | number;

matchLocationFromHyperparameterTuningJobName(hyperparameterTuningJobName)

matchLocationFromHyperparameterTuningJobName(hyperparameterTuningJobName: string): string | number;

matchLocationFromIndexEndpointName(indexEndpointName)

matchLocationFromIndexEndpointName(indexEndpointName: string): string | number;

matchLocationFromIndexName(indexName)

matchLocationFromIndexName(indexName: string): string | number;

matchLocationFromLocationName(locationName)

matchLocationFromLocationName(locationName: string): string | number;

matchLocationFromMetadataSchemaName(metadataSchemaName)

matchLocationFromMetadataSchemaName(metadataSchemaName: string): string | number;

matchLocationFromMetadataStoreName(metadataStoreName)

matchLocationFromMetadataStoreName(metadataStoreName: string): string | number;

matchLocationFromModelDeploymentMonitoringJobName(modelDeploymentMonitoringJobName)

matchLocationFromModelDeploymentMonitoringJobName(modelDeploymentMonitoringJobName: string): string | number;

matchLocationFromModelEvaluationName(modelEvaluationName)

matchLocationFromModelEvaluationName(modelEvaluationName: string): string | number;

matchLocationFromModelEvaluationSliceName(modelEvaluationSliceName)

matchLocationFromModelEvaluationSliceName(modelEvaluationSliceName: string): string | number;

matchLocationFromModelName(modelName)

matchLocationFromModelName(modelName: string): string | number;

matchLocationFromNasJobName(nasJobName)

matchLocationFromNasJobName(nasJobName: string): string | number;

matchLocationFromNasTrialDetailName(nasTrialDetailName)

matchLocationFromNasTrialDetailName(nasTrialDetailName: string): string | number;

matchLocationFromPersistentResourceName(persistentResourceName)

matchLocationFromPersistentResourceName(persistentResourceName: string): string | number;

matchLocationFromPipelineJobName(pipelineJobName)

matchLocationFromPipelineJobName(pipelineJobName: string): string | number;

matchLocationFromProjectLocationEndpointName(projectLocationEndpointName)

matchLocationFromProjectLocationEndpointName(projectLocationEndpointName: string): string | number;

matchLocationFromProjectLocationFeatureGroupFeatureName(projectLocationFeatureGroupFeatureName)

matchLocationFromProjectLocationFeatureGroupFeatureName(projectLocationFeatureGroupFeatureName: string): string | number;

matchLocationFromProjectLocationFeaturestoreEntityTypeFeatureName(projectLocationFeaturestoreEntityTypeFeatureName)

matchLocationFromProjectLocationFeaturestoreEntityTypeFeatureName(projectLocationFeaturestoreEntityTypeFeatureName: string): string | number;

matchLocationFromProjectLocationPublisherModelName(projectLocationPublisherModelName)

matchLocationFromProjectLocationPublisherModelName(projectLocationPublisherModelName: string): string | number;

matchLocationFromSavedQueryName(savedQueryName)

matchLocationFromSavedQueryName(savedQueryName: string): string | number;

matchLocationFromScheduleName(scheduleName)

matchLocationFromScheduleName(scheduleName: string): string | number;

matchLocationFromSpecialistPoolName(specialistPoolName)

matchLocationFromSpecialistPoolName(specialistPoolName: string): string | number;

matchLocationFromStudyName(studyName)

matchLocationFromStudyName(studyName: string): string | number;

matchLocationFromTensorboardExperimentName(tensorboardExperimentName)

matchLocationFromTensorboardExperimentName(tensorboardExperimentName: string): string | number;

matchLocationFromTensorboardName(tensorboardName)

matchLocationFromTensorboardName(tensorboardName: string): string | number;

matchLocationFromTensorboardRunName(tensorboardRunName)

matchLocationFromTensorboardRunName(tensorboardRunName: string): string | number;

matchLocationFromTensorboardTimeSeriesName(tensorboardTimeSeriesName)

matchLocationFromTensorboardTimeSeriesName(tensorboardTimeSeriesName: string): string | number;

matchLocationFromTrainingPipelineName(trainingPipelineName)

matchLocationFromTrainingPipelineName(trainingPipelineName: string): string | number;

matchLocationFromTrialName(trialName)

matchLocationFromTrialName(trialName: string): string | number;

matchMetadataSchemaFromMetadataSchemaName(metadataSchemaName)

matchMetadataSchemaFromMetadataSchemaName(metadataSchemaName: string): string | number;

matchMetadataStoreFromArtifactName(artifactName)

matchMetadataStoreFromArtifactName(artifactName: string): string | number;

matchMetadataStoreFromContextName(contextName)

matchMetadataStoreFromContextName(contextName: string): string | number;

matchMetadataStoreFromExecutionName(executionName)

matchMetadataStoreFromExecutionName(executionName: string): string | number;

matchMetadataStoreFromMetadataSchemaName(metadataSchemaName)

matchMetadataStoreFromMetadataSchemaName(metadataSchemaName: string): string | number;

matchMetadataStoreFromMetadataStoreName(metadataStoreName)

matchMetadataStoreFromMetadataStoreName(metadataStoreName: string): string | number;

matchModelDeploymentMonitoringJobFromModelDeploymentMonitoringJobName(modelDeploymentMonitoringJobName)

matchModelDeploymentMonitoringJobFromModelDeploymentMonitoringJobName(modelDeploymentMonitoringJobName: string): string | number;

matchModelFromModelEvaluationName(modelEvaluationName)

matchModelFromModelEvaluationName(modelEvaluationName: string): string | number;

matchModelFromModelEvaluationSliceName(modelEvaluationSliceName)

matchModelFromModelEvaluationSliceName(modelEvaluationSliceName: string): string | number;

matchModelFromModelName(modelName)

matchModelFromModelName(modelName: string): string | number;

matchModelFromProjectLocationPublisherModelName(projectLocationPublisherModelName)

matchModelFromProjectLocationPublisherModelName(projectLocationPublisherModelName: string): string | number;

matchModelFromPublisherModelName(publisherModelName)

matchModelFromPublisherModelName(publisherModelName: string): string | number;

matchNasJobFromNasJobName(nasJobName)

matchNasJobFromNasJobName(nasJobName: string): string | number;

matchNasJobFromNasTrialDetailName(nasTrialDetailName)

matchNasJobFromNasTrialDetailName(nasTrialDetailName: string): string | number;

matchNasTrialDetailFromNasTrialDetailName(nasTrialDetailName)

matchNasTrialDetailFromNasTrialDetailName(nasTrialDetailName: string): string | number;

matchPersistentResourceFromPersistentResourceName(persistentResourceName)

matchPersistentResourceFromPersistentResourceName(persistentResourceName: string): string | number;

matchPipelineJobFromPipelineJobName(pipelineJobName)

matchPipelineJobFromPipelineJobName(pipelineJobName: string): string | number;

matchProjectFromAnnotationName(annotationName)

matchProjectFromAnnotationName(annotationName: string): string | number;