Class v1.FeatureOnlineStoreAdminServiceClient (3.11.0)

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;

featureOnlineStoreAdminServiceStub

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

iamClient

iamClient: IamClient;

innerApiCalls

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

locationsClient

locationsClient: LocationsClient;

operationsClient

operationsClient: gax.OperationsClient;

pathTemplates

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

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: ''});

checkCreateFeatureOnlineStoreProgress(name)

checkCreateFeatureOnlineStoreProgress(name: string): Promise<LROperation<protos.google.cloud.aiplatform.v1.FeatureOnlineStore, protos.google.cloud.aiplatform.v1.CreateFeatureOnlineStoreOperationMetadata>>;

  /**
   * 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 FeatureOnlineStores.
   *  Format:
   *  `projects/{project}/locations/{location}`
   */
  // const parent = 'abc123'
  /**
   *  Required. The FeatureOnlineStore to create.
   */
  // const featureOnlineStore = {}
  /**
   *  Required. The ID to use for this FeatureOnlineStore, which will become the
   *  final component of the FeatureOnlineStore's resource name.
   *  This value may be up to 60 characters, and valid characters are
   *  `[a-z0-9_]`. The first character cannot be a number.
   *  The value must be unique within the project and location.
   */
  // const featureOnlineStoreId = 'abc123'

  // Imports the Aiplatform library
  const {FeatureOnlineStoreAdminServiceClient} = require('@google-cloud/aiplatform').v1;

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

  async function callCreateFeatureOnlineStore() {
    // Construct request
    const request = {
      parent,
      featureOnlineStore,
      featureOnlineStoreId,
    };

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

  callCreateFeatureOnlineStore();

checkCreateFeatureViewProgress(name)

checkCreateFeatureViewProgress(name: string): Promise<LROperation<protos.google.cloud.aiplatform.v1.FeatureView, protos.google.cloud.aiplatform.v1.CreateFeatureViewOperationMetadata>>;

  /**
   * 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 FeatureOnlineStore to create
   *  FeatureViews. Format:
   *  `projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}`
   */
  // const parent = 'abc123'
  /**
   *  Required. The FeatureView to create.
   */
  // const featureView = {}
  /**
   *  Required. The ID to use for the FeatureView, which will become the final
   *  component of the FeatureView's resource name.
   *  This value may be up to 60 characters, and valid characters are
   *  `[a-z0-9_]`. The first character cannot be a number.
   *  The value must be unique within a FeatureOnlineStore.
   */
  // const featureViewId = 'abc123'
  /**
   *  Immutable. If set to true, one on demand sync will be run immediately,
   *  regardless whether the
   *  FeatureView.sync_config google.cloud.aiplatform.v1.FeatureView.sync_config 
   *  is configured or not.
   */
  // const runSyncImmediately = true

  // Imports the Aiplatform library
  const {FeatureOnlineStoreAdminServiceClient} = require('@google-cloud/aiplatform').v1;

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

  async function callCreateFeatureView() {
    // Construct request
    const request = {
      parent,
      featureView,
      featureViewId,
      runSyncImmediately,
    };

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

  callCreateFeatureView();

checkDeleteFeatureOnlineStoreProgress(name)

checkDeleteFeatureOnlineStoreProgress(name: string): Promise<LROperation<protos.google.protobuf.Empty, protos.google.cloud.aiplatform.v1.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 FeatureOnlineStore to be deleted.
   *  Format:
   *  `projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}`
   */
  // const name = 'abc123'
  /**
   *  If set to true, any FeatureViews and Features for this FeatureOnlineStore
   *  will also be deleted. (Otherwise, the request will only work if the
   *  FeatureOnlineStore has no FeatureViews.)
   */
  // const force = true

  // Imports the Aiplatform library
  const {FeatureOnlineStoreAdminServiceClient} = require('@google-cloud/aiplatform').v1;

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

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

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

  callDeleteFeatureOnlineStore();

checkDeleteFeatureViewProgress(name)

checkDeleteFeatureViewProgress(name: string): Promise<LROperation<protos.google.protobuf.Empty, protos.google.cloud.aiplatform.v1.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 FeatureView to be deleted.
   *  Format:
   *  `projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}`
   */
  // const name = 'abc123'

  // Imports the Aiplatform library
  const {FeatureOnlineStoreAdminServiceClient} = require('@google-cloud/aiplatform').v1;

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

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

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

  callDeleteFeatureView();

checkUpdateFeatureOnlineStoreProgress(name)

checkUpdateFeatureOnlineStoreProgress(name: string): Promise<LROperation<protos.google.cloud.aiplatform.v1.FeatureOnlineStore, protos.google.cloud.aiplatform.v1.UpdateFeatureOnlineStoreOperationMetadata>>;

  /**
   * 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 FeatureOnlineStore's `name` field is used to identify the
   *  FeatureOnlineStore to be updated. Format:
   *  `projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}`
   */
  // const featureOnlineStore = {}
  /**
   *  Field mask is used to specify the fields to be overwritten in the
   *  FeatureOnlineStore resource by the update.
   *  The fields specified in the update_mask are relative to the resource, not
   *  the full request. A field will be overwritten if it is in the mask. If the
   *  user does not provide a mask then only the non-empty fields present in the
   *  request will be overwritten. Set the update_mask to `*` to override all
   *  fields.
   *  Updatable fields:
   *    * `big_query_source`
   *    * `labels`
   *    * `sync_config`
   */
  // const updateMask = {}

  // Imports the Aiplatform library
  const {FeatureOnlineStoreAdminServiceClient} = require('@google-cloud/aiplatform').v1;

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

  async function callUpdateFeatureOnlineStore() {
    // Construct request
    const request = {
      featureOnlineStore,
    };

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

  callUpdateFeatureOnlineStore();

checkUpdateFeatureViewProgress(name)

checkUpdateFeatureViewProgress(name: string): Promise<LROperation<protos.google.cloud.aiplatform.v1.FeatureView, protos.google.cloud.aiplatform.v1.UpdateFeatureViewOperationMetadata>>;

  /**
   * 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 FeatureView's `name` field is used to identify the
   *  FeatureView to be updated. Format:
   *  `projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}`
   */
  // const featureView = {}
  /**
   *  Field mask is used to specify the fields to be overwritten in the
   *  FeatureView resource by the update.
   *  The fields specified in the update_mask are relative to the resource, not
   *  the full request. A field will be overwritten if it is in the mask. If the
   *  user does not provide a mask then only the non-empty fields present in the
   *  request will be overwritten. Set the update_mask to `*` to override all
   *  fields.
   *  Updatable fields:
   *    * `labels`
   */
  // const updateMask = {}

  // Imports the Aiplatform library
  const {FeatureOnlineStoreAdminServiceClient} = require('@google-cloud/aiplatform').v1;

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

  async function callUpdateFeatureView() {
    // Construct request
    const request = {
      featureView,
    };

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

  callUpdateFeatureView();

close()

close(): Promise<void>;

contextPath(project, location, metadataStore, context)

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

createFeatureOnlineStore(request, options)

createFeatureOnlineStore(request?: protos.google.cloud.aiplatform.v1.ICreateFeatureOnlineStoreRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.cloud.aiplatform.v1.IFeatureOnlineStore, protos.google.cloud.aiplatform.v1.ICreateFeatureOnlineStoreOperationMetadata>,
        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 resource name of the Location to create FeatureOnlineStores.
   *  Format:
   *  `projects/{project}/locations/{location}`
   */
  // const parent = 'abc123'
  /**
   *  Required. The FeatureOnlineStore to create.
   */
  // const featureOnlineStore = {}
  /**
   *  Required. The ID to use for this FeatureOnlineStore, which will become the
   *  final component of the FeatureOnlineStore's resource name.
   *  This value may be up to 60 characters, and valid characters are
   *  `[a-z0-9_]`. The first character cannot be a number.
   *  The value must be unique within the project and location.
   */
  // const featureOnlineStoreId = 'abc123'

  // Imports the Aiplatform library
  const {FeatureOnlineStoreAdminServiceClient} = require('@google-cloud/aiplatform').v1;

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

  async function callCreateFeatureOnlineStore() {
    // Construct request
    const request = {
      parent,
      featureOnlineStore,
      featureOnlineStoreId,
    };

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

  callCreateFeatureOnlineStore();

createFeatureOnlineStore(request, options, callback)

createFeatureOnlineStore(request: protos.google.cloud.aiplatform.v1.ICreateFeatureOnlineStoreRequest, options: CallOptions, callback: Callback<LROperation<protos.google.cloud.aiplatform.v1.IFeatureOnlineStore, protos.google.cloud.aiplatform.v1.ICreateFeatureOnlineStoreOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

createFeatureOnlineStore(request, callback)

createFeatureOnlineStore(request: protos.google.cloud.aiplatform.v1.ICreateFeatureOnlineStoreRequest, callback: Callback<LROperation<protos.google.cloud.aiplatform.v1.IFeatureOnlineStore, protos.google.cloud.aiplatform.v1.ICreateFeatureOnlineStoreOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

createFeatureView(request, options)

createFeatureView(request?: protos.google.cloud.aiplatform.v1.ICreateFeatureViewRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.cloud.aiplatform.v1.IFeatureView, protos.google.cloud.aiplatform.v1.ICreateFeatureViewOperationMetadata>,
        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 resource name of the FeatureOnlineStore to create
   *  FeatureViews. Format:
   *  `projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}`
   */
  // const parent = 'abc123'
  /**
   *  Required. The FeatureView to create.
   */
  // const featureView = {}
  /**
   *  Required. The ID to use for the FeatureView, which will become the final
   *  component of the FeatureView's resource name.
   *  This value may be up to 60 characters, and valid characters are
   *  `[a-z0-9_]`. The first character cannot be a number.
   *  The value must be unique within a FeatureOnlineStore.
   */
  // const featureViewId = 'abc123'
  /**
   *  Immutable. If set to true, one on demand sync will be run immediately,
   *  regardless whether the
   *  FeatureView.sync_config google.cloud.aiplatform.v1.FeatureView.sync_config 
   *  is configured or not.
   */
  // const runSyncImmediately = true

  // Imports the Aiplatform library
  const {FeatureOnlineStoreAdminServiceClient} = require('@google-cloud/aiplatform').v1;

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

  async function callCreateFeatureView() {
    // Construct request
    const request = {
      parent,
      featureView,
      featureViewId,
      runSyncImmediately,
    };

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

  callCreateFeatureView();

createFeatureView(request, options, callback)

createFeatureView(request: protos.google.cloud.aiplatform.v1.ICreateFeatureViewRequest, options: CallOptions, callback: Callback<LROperation<protos.google.cloud.aiplatform.v1.IFeatureView, protos.google.cloud.aiplatform.v1.ICreateFeatureViewOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

createFeatureView(request, callback)

createFeatureView(request: protos.google.cloud.aiplatform.v1.ICreateFeatureViewRequest, callback: Callback<LROperation<protos.google.cloud.aiplatform.v1.IFeatureView, protos.google.cloud.aiplatform.v1.ICreateFeatureViewOperationMetadata>, protos.google.longrunning.IOperation | 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;

deleteFeatureOnlineStore(request, options)

deleteFeatureOnlineStore(request?: protos.google.cloud.aiplatform.v1.IDeleteFeatureOnlineStoreRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1.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 FeatureOnlineStore to be deleted.
   *  Format:
   *  `projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}`
   */
  // const name = 'abc123'
  /**
   *  If set to true, any FeatureViews and Features for this FeatureOnlineStore
   *  will also be deleted. (Otherwise, the request will only work if the
   *  FeatureOnlineStore has no FeatureViews.)
   */
  // const force = true

  // Imports the Aiplatform library
  const {FeatureOnlineStoreAdminServiceClient} = require('@google-cloud/aiplatform').v1;

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

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

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

  callDeleteFeatureOnlineStore();

deleteFeatureOnlineStore(request, options, callback)

deleteFeatureOnlineStore(request: protos.google.cloud.aiplatform.v1.IDeleteFeatureOnlineStoreRequest, options: CallOptions, callback: Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

deleteFeatureOnlineStore(request, callback)

deleteFeatureOnlineStore(request: protos.google.cloud.aiplatform.v1.IDeleteFeatureOnlineStoreRequest, callback: Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

deleteFeatureView(request, options)

deleteFeatureView(request?: protos.google.cloud.aiplatform.v1.IDeleteFeatureViewRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1.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 FeatureView to be deleted.
   *  Format:
   *  `projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}`
   */
  // const name = 'abc123'

  // Imports the Aiplatform library
  const {FeatureOnlineStoreAdminServiceClient} = require('@google-cloud/aiplatform').v1;

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

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

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

  callDeleteFeatureView();

deleteFeatureView(request, options, callback)

deleteFeatureView(request: protos.google.cloud.aiplatform.v1.IDeleteFeatureViewRequest, options: CallOptions, callback: Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

deleteFeatureView(request, callback)

deleteFeatureView(request: protos.google.cloud.aiplatform.v1.IDeleteFeatureViewRequest, callback: Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

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: ''});

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;

getFeatureOnlineStore(request, options)

getFeatureOnlineStore(request?: protos.google.cloud.aiplatform.v1.IGetFeatureOnlineStoreRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.IFeatureOnlineStore,
        (protos.google.cloud.aiplatform.v1.IGetFeatureOnlineStoreRequest | 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 FeatureOnlineStore resource.
   */
  // const name = 'abc123'

  // Imports the Aiplatform library
  const {FeatureOnlineStoreAdminServiceClient} = require('@google-cloud/aiplatform').v1;

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

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

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

  callGetFeatureOnlineStore();

getFeatureOnlineStore(request, options, callback)

getFeatureOnlineStore(request: protos.google.cloud.aiplatform.v1.IGetFeatureOnlineStoreRequest, options: CallOptions, callback: Callback<protos.google.cloud.aiplatform.v1.IFeatureOnlineStore, protos.google.cloud.aiplatform.v1.IGetFeatureOnlineStoreRequest | null | undefined, {} | null | undefined>): void;

getFeatureOnlineStore(request, callback)

getFeatureOnlineStore(request: protos.google.cloud.aiplatform.v1.IGetFeatureOnlineStoreRequest, callback: Callback<protos.google.cloud.aiplatform.v1.IFeatureOnlineStore, protos.google.cloud.aiplatform.v1.IGetFeatureOnlineStoreRequest | null | undefined, {} | null | undefined>): void;

getFeatureView(request, options)

getFeatureView(request?: protos.google.cloud.aiplatform.v1.IGetFeatureViewRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.IFeatureView,
        protos.google.cloud.aiplatform.v1.IGetFeatureViewRequest | 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 FeatureView resource.
   *  Format:
   *  `projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}`
   */
  // const name = 'abc123'

  // Imports the Aiplatform library
  const {FeatureOnlineStoreAdminServiceClient} = require('@google-cloud/aiplatform').v1;

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

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

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

  callGetFeatureView();

getFeatureView(request, options, callback)

getFeatureView(request: protos.google.cloud.aiplatform.v1.IGetFeatureViewRequest, options: CallOptions, callback: Callback<protos.google.cloud.aiplatform.v1.IFeatureView, protos.google.cloud.aiplatform.v1.IGetFeatureViewRequest | null | undefined, {} | null | undefined>): void;

getFeatureView(request, callback)

getFeatureView(request: protos.google.cloud.aiplatform.v1.IGetFeatureViewRequest, callback: Callback<protos.google.cloud.aiplatform.v1.IFeatureView, protos.google.cloud.aiplatform.v1.IGetFeatureViewRequest | null | undefined, {} | null | undefined>): void;

getFeatureViewSync(request, options)

getFeatureViewSync(request?: protos.google.cloud.aiplatform.v1.IGetFeatureViewSyncRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.IFeatureViewSync,
        protos.google.cloud.aiplatform.v1.IGetFeatureViewSyncRequest | 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 FeatureViewSync resource.
   *  Format:
   *  `projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}/featureViewSyncs/{feature_view_sync}`
   */
  // const name = 'abc123'

  // Imports the Aiplatform library
  const {FeatureOnlineStoreAdminServiceClient} = require('@google-cloud/aiplatform').v1;

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

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

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

  callGetFeatureViewSync();

getFeatureViewSync(request, options, callback)

getFeatureViewSync(request: protos.google.cloud.aiplatform.v1.IGetFeatureViewSyncRequest, options: CallOptions, callback: Callback<protos.google.cloud.aiplatform.v1.IFeatureViewSync, protos.google.cloud.aiplatform.v1.IGetFeatureViewSyncRequest | null | undefined, {} | null | undefined>): void;

getFeatureViewSync(request, callback)

getFeatureViewSync(request: protos.google.cloud.aiplatform.v1.IGetFeatureViewSyncRequest, callback: Callback<protos.google.cloud.aiplatform.v1.IFeatureViewSync, protos.google.cloud.aiplatform.v1.IGetFeatureViewSyncRequest | null | undefined, {} | null | undefined>): void;

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)

getProjectId()

getProjectId(): Promise<string>;

getProjectId(callback)

getProjectId(callback: Callback<string, undefined, 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;
    }>;

listFeatureOnlineStores(request, options)

listFeatureOnlineStores(request?: protos.google.cloud.aiplatform.v1.IListFeatureOnlineStoresRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.IFeatureOnlineStore[],
        protos.google.cloud.aiplatform.v1.IListFeatureOnlineStoresRequest | null,
        protos.google.cloud.aiplatform.v1.IListFeatureOnlineStoresResponse
    ]>;

listFeatureOnlineStores(request, options, callback)

listFeatureOnlineStores(request: protos.google.cloud.aiplatform.v1.IListFeatureOnlineStoresRequest, options: CallOptions, callback: PaginationCallback<protos.google.cloud.aiplatform.v1.IListFeatureOnlineStoresRequest, protos.google.cloud.aiplatform.v1.IListFeatureOnlineStoresResponse | null | undefined, protos.google.cloud.aiplatform.v1.IFeatureOnlineStore>): void;

listFeatureOnlineStores(request, callback)

listFeatureOnlineStores(request: protos.google.cloud.aiplatform.v1.IListFeatureOnlineStoresRequest, callback: PaginationCallback<protos.google.cloud.aiplatform.v1.IListFeatureOnlineStoresRequest, protos.google.cloud.aiplatform.v1.IListFeatureOnlineStoresResponse | null | undefined, protos.google.cloud.aiplatform.v1.IFeatureOnlineStore>): void;

listFeatureOnlineStoresAsync(request, options)

listFeatureOnlineStoresAsync(request?: protos.google.cloud.aiplatform.v1.IListFeatureOnlineStoresRequest, options?: CallOptions): AsyncIterable<protos.google.cloud.aiplatform.v1.IFeatureOnlineStore>;

  /**
   * 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 FeatureOnlineStores.
   *  Format:
   *  `projects/{project}/locations/{location}`
   */
  // const parent = 'abc123'
  /**
   *  Lists the FeatureOnlineStores that match the filter expression. The
   *  following fields are supported:
   *  * `create_time`: Supports `=`, `!=`, `<`, `="">`, `<=`, and="" `="">=` comparisons.
   *  Values must be
   *    in RFC 3339 format.
   *  * `update_time`: Supports `=`, `!=`, `<`, `="">`, `<=`, and="" `="">=` comparisons.
   *  Values must be
   *    in RFC 3339 format.
   *  * `labels`: Supports key-value equality and key presence.
   *  Examples:
   *  * `create_time > "2020-01-01" OR update_time > "2020-01-01"`
   *     FeatureOnlineStores created or updated after 2020-01-01.
   *  * `labels.env = "prod"`
   *     FeatureOnlineStores with label "env" set to "prod".
   */
  // const filter = 'abc123'
  /**
   *  The maximum number of FeatureOnlineStores to return. The service may return
   *  fewer than this value. If unspecified, at most 100 FeatureOnlineStores will
   *  be returned. The maximum value is 100; any value greater than 100 will be
   *  coerced to 100.
   */
  // const pageSize = 1234
  /**
   *  A page token, received from a previous
   *  FeatureOnlineStoreAdminService.ListFeatureOnlineStores google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureOnlineStores 
   *  call. Provide this to retrieve the subsequent page.
   *  When paginating, all other parameters provided to
   *  FeatureOnlineStoreAdminService.ListFeatureOnlineStores google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureOnlineStores 
   *  must match the call that provided the page token.
   */
  // const pageToken = 'abc123'
  /**
   *  A comma-separated list of fields to order by, sorted in ascending order.
   *  Use "desc" after a field name for descending.
   *  Supported Fields:
   *    * `create_time`
   *    * `update_time`
   */
  // const orderBy = 'abc123'

  // Imports the Aiplatform library
  const {FeatureOnlineStoreAdminServiceClient} = require('@google-cloud/aiplatform').v1;

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

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

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

  callListFeatureOnlineStores();

listFeatureOnlineStoresStream(request, options)

listFeatureOnlineStoresStream(request?: protos.google.cloud.aiplatform.v1.IListFeatureOnlineStoresRequest, options?: CallOptions): Transform;

listFeatureViews(request, options)

listFeatureViews(request?: protos.google.cloud.aiplatform.v1.IListFeatureViewsRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.IFeatureView[],
        protos.google.cloud.aiplatform.v1.IListFeatureViewsRequest | null,
        protos.google.cloud.aiplatform.v1.IListFeatureViewsResponse
    ]>;

listFeatureViews(request, options, callback)

listFeatureViews(request: protos.google.cloud.aiplatform.v1.IListFeatureViewsRequest, options: CallOptions, callback: PaginationCallback<protos.google.cloud.aiplatform.v1.IListFeatureViewsRequest, protos.google.cloud.aiplatform.v1.IListFeatureViewsResponse | null | undefined, protos.google.cloud.aiplatform.v1.IFeatureView>): void;

listFeatureViews(request, callback)

listFeatureViews(request: protos.google.cloud.aiplatform.v1.IListFeatureViewsRequest, callback: PaginationCallback<protos.google.cloud.aiplatform.v1.IListFeatureViewsRequest, protos.google.cloud.aiplatform.v1.IListFeatureViewsResponse | null | undefined, protos.google.cloud.aiplatform.v1.IFeatureView>): void;

listFeatureViewsAsync(request, options)

listFeatureViewsAsync(request?: protos.google.cloud.aiplatform.v1.IListFeatureViewsRequest, options?: CallOptions): AsyncIterable<protos.google.cloud.aiplatform.v1.IFeatureView>;

  /**
   * 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 FeatureOnlineStore to list FeatureViews.
   *  Format:
   *  `projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}`
   */
  // const parent = 'abc123'
  /**
   *  Lists the FeatureViews that match the filter expression. The following
   *  filters are supported:
   *  * `create_time`: Supports `=`, `!=`, `<`, `="">`, `>=`, and `<=` comparisons.="" *="" values="" must="" be="" in="" rfc="" 3339="" format.="" *="" *="" `update_time`:="" supports="" `="`," `!="`,"><`, `="">`, `>=`, and `<=` comparisons.="" *="" values="" must="" be="" in="" rfc="" 3339="" format.="" *="" *="" `labels`:="" supports="" key-value="" equality="" as="" well="" as="" key="" presence.="" *="" examples:="" *="" *="" `create_time=""> \"2020-01-31T15:30:00.000000Z\" OR
   *       update_time > \"2020-01-31T15:30:00.000000Z\"` --> FeatureViews
   *       created or updated after 2020-01-31T15:30:00.000000Z.
   *  * `labels.active = yes AND labels.env = prod` --> FeatureViews having both
   *      (active: yes) and (env: prod) labels.
   *  * `labels.env: *` --> Any FeatureView which has a label with 'env' as the
   *    key.
   */
  // const filter = 'abc123'
  /**
   *  The maximum number of FeatureViews to return. The service may return fewer
   *  than this value. If unspecified, at most 1000 FeatureViews will be
   *  returned. The maximum value is 1000; any value greater than 1000 will be
   *  coerced to 1000.
   */
  // const pageSize = 1234
  /**
   *  A page token, received from a previous
   *  FeatureOnlineStoreAdminService.ListFeatureViews google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViews 
   *  call. Provide this to retrieve the subsequent page.
   *  When paginating, all other parameters provided to
   *  FeatureOnlineStoreAdminService.ListFeatureViews google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViews 
   *  must match the call that provided the page token.
   */
  // const pageToken = 'abc123'
  /**
   *  A comma-separated list of fields to order by, sorted in ascending order.
   *  Use "desc" after a field name for descending.
   *  Supported fields:
   *    * `feature_view_id`
   *    * `create_time`
   *    * `update_time`
   */
  // const orderBy = 'abc123'

  // Imports the Aiplatform library
  const {FeatureOnlineStoreAdminServiceClient} = require('@google-cloud/aiplatform').v1;

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

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

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

  callListFeatureViews();

listFeatureViewsStream(request, options)

listFeatureViewsStream(request?: protos.google.cloud.aiplatform.v1.IListFeatureViewsRequest, options?: CallOptions): Transform;

listFeatureViewSyncs(request, options)

listFeatureViewSyncs(request?: protos.google.cloud.aiplatform.v1.IListFeatureViewSyncsRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.IFeatureViewSync[],
        protos.google.cloud.aiplatform.v1.IListFeatureViewSyncsRequest | null,
        protos.google.cloud.aiplatform.v1.IListFeatureViewSyncsResponse
    ]>;

listFeatureViewSyncs(request, options, callback)

listFeatureViewSyncs(request: protos.google.cloud.aiplatform.v1.IListFeatureViewSyncsRequest, options: CallOptions, callback: PaginationCallback<protos.google.cloud.aiplatform.v1.IListFeatureViewSyncsRequest, protos.google.cloud.aiplatform.v1.IListFeatureViewSyncsResponse | null | undefined, protos.google.cloud.aiplatform.v1.IFeatureViewSync>): void;

listFeatureViewSyncs(request, callback)

listFeatureViewSyncs(request: protos.google.cloud.aiplatform.v1.IListFeatureViewSyncsRequest, callback: PaginationCallback<protos.google.cloud.aiplatform.v1.IListFeatureViewSyncsRequest, protos.google.cloud.aiplatform.v1.IListFeatureViewSyncsResponse | null | undefined, protos.google.cloud.aiplatform.v1.IFeatureViewSync>): void;

listFeatureViewSyncsAsync(request, options)

listFeatureViewSyncsAsync(request?: protos.google.cloud.aiplatform.v1.IListFeatureViewSyncsRequest, options?: CallOptions): AsyncIterable<protos.google.cloud.aiplatform.v1.IFeatureViewSync>;

  /**
   * 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 FeatureView to list FeatureViewSyncs.
   *  Format:
   *  `projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}`
   */
  // const parent = 'abc123'
  /**
   *  Lists the FeatureViewSyncs that match the filter expression. The following
   *  filters are supported:
   *  * `create_time`: Supports `=`, `!=`, `<`, `="">`, `>=`, and `<=` comparisons.="" *="" values="" must="" be="" in="" rfc="" 3339="" format.="" *="" examples:="" *="" *="" `create_time=""> \"2020-01-31T15:30:00.000000Z\"` --> FeatureViewSyncs
   *       created after 2020-01-31T15:30:00.000000Z.
   */
  // const filter = 'abc123'
  /**
   *  The maximum number of FeatureViewSyncs to return. The service may return
   *  fewer than this value. If unspecified, at most 1000 FeatureViewSyncs will
   *  be returned. The maximum value is 1000; any value greater than 1000 will be
   *  coerced to 1000.
   */
  // const pageSize = 1234
  /**
   *  A page token, received from a previous
   *  FeatureOnlineStoreAdminService.ListFeatureViewSyncs google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViewSyncs 
   *  call. Provide this to retrieve the subsequent page.
   *  When paginating, all other parameters provided to
   *  FeatureOnlineStoreAdminService.ListFeatureViewSyncs google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViewSyncs 
   *  must match the call that provided the page token.
   */
  // const pageToken = 'abc123'
  /**
   *  A comma-separated list of fields to order by, sorted in ascending order.
   *  Use "desc" after a field name for descending.
   *  Supported fields:
   *    * `create_time`
   */
  // const orderBy = 'abc123'

  // Imports the Aiplatform library
  const {FeatureOnlineStoreAdminServiceClient} = require('@google-cloud/aiplatform').v1;

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

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

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

  callListFeatureViewSyncs();

listFeatureViewSyncsStream(request, options)

listFeatureViewSyncsStream(request?: protos.google.cloud.aiplatform.v1.IListFeatureViewSyncsRequest, options?: CallOptions): Transform;

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)

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;

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;