Class v1.MetadataServiceClient (3.0.0)

Service for reading and writing metadata entries. v1

Package

Constructors

(constructor)(opts, gaxInstance)

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

Construct an instance of MetadataServiceClient.

Parameters
Name	Description
`opts`	`ClientOptions`
`gaxInstance`	`typeof gax \| typeof fallback` : loaded instance of `google-gax`. Useful if you need to avoid loading the default gRPC version and want to use the fallback HTTP implementation. Load only fallback version and pass it to the constructor: ``` const gax = require('google-gax/build/src/fallback'); // avoids loading google-gax with gRPC const client = new MetadataServiceClient({fallback: 'rest'}, gax); ```

Properties

apiEndpoint

static get apiEndpoint(): string;

The DNS address for this API service - same as servicePath(), exists for compatibility reasons.

auth

auth: gax.GoogleAuth;

descriptors

descriptors: Descriptors;

iamClient

iamClient: IamClient;

innerApiCalls

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

locationsClient

locationsClient: LocationsClient;

metadataServiceStub

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

operationsClient

operationsClient: gax.OperationsClient;

pathTemplates

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

port

static get port(): number;

The port for this API service.

scopes

static get scopes(): string[];

The scopes needed to make gRPC calls for every method defined in this service.

servicePath

static get servicePath(): string;

The DNS address for this API service.

warn

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

Methods

addContextArtifactsAndExecutions(request, options)

addContextArtifactsAndExecutions(request?: protos.google.cloud.aiplatform.v1.IAddContextArtifactsAndExecutionsRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.IAddContextArtifactsAndExecutionsResponse,
        (protos.google.cloud.aiplatform.v1.IAddContextArtifactsAndExecutionsRequest | undefined),
        {} | undefined
    ]>;

Adds a set of Artifacts and Executions to a Context. If any of the Artifacts or Executions have already been added to a Context, they are simply skipped.

Parameters
Name	Description
`request`	`IAddContextArtifactsAndExecutionsRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Promise<[ protos.google.cloud.aiplatform.v1.IAddContextArtifactsAndExecutionsResponse, (protos.google.cloud.aiplatform.v1.IAddContextArtifactsAndExecutionsRequest \| undefined), {} \| undefined ]>`	{Promise} - The promise which resolves to an array. The first element of the array is an object representing AddContextArtifactsAndExecutionsResponse. Please see the documentation for more details and examples.

Example


  /**
   * 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 Context that the Artifacts and
   *  Executions belong to. Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
   */
  // const context = 'abc123'
  /**
   *  The resource names of the Artifacts to attribute to the Context.
   *  Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
   */
  // const artifacts = ['abc','def']
  /**
   *  The resource names of the Executions to associate with the
   *  Context.
   *  Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
   */
  // const executions = ['abc','def']

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

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

  async function callAddContextArtifactsAndExecutions() {
    // Construct request
    const request = {
      context,
    };

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

  callAddContextArtifactsAndExecutions();

addContextArtifactsAndExecutions(request, options, callback)

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

Parameters
Name	Description
`request`	`IAddContextArtifactsAndExecutionsRequest`
`options`	`CallOptions`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.IAddContextArtifactsAndExecutionsResponse, protos.google.cloud.aiplatform.v1.IAddContextArtifactsAndExecutionsRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

addContextArtifactsAndExecutions(request, callback)

addContextArtifactsAndExecutions(request: protos.google.cloud.aiplatform.v1.IAddContextArtifactsAndExecutionsRequest, callback: Callback<protos.google.cloud.aiplatform.v1.IAddContextArtifactsAndExecutionsResponse, protos.google.cloud.aiplatform.v1.IAddContextArtifactsAndExecutionsRequest | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`IAddContextArtifactsAndExecutionsRequest`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.IAddContextArtifactsAndExecutionsResponse, protos.google.cloud.aiplatform.v1.IAddContextArtifactsAndExecutionsRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

addContextChildren(request, options)

addContextChildren(request?: protos.google.cloud.aiplatform.v1.IAddContextChildrenRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.IAddContextChildrenResponse,
        protos.google.cloud.aiplatform.v1.IAddContextChildrenRequest | undefined,
        {} | undefined
    ]>;

Adds a set of Contexts as children to a parent Context. If any of the child Contexts have already been added to the parent Context, they are simply skipped. If this call would create a cycle or cause any Context to have more than 10 parents, the request will fail with an INVALID_ARGUMENT error.

Parameters
Name	Description
`request`	`IAddContextChildrenRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Promise<[ protos.google.cloud.aiplatform.v1.IAddContextChildrenResponse, protos.google.cloud.aiplatform.v1.IAddContextChildrenRequest \| undefined, {} \| undefined ]>`	{Promise} - The promise which resolves to an array. The first element of the array is an object representing AddContextChildrenResponse. Please see the documentation for more details and examples.

Example


  /**
   * 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 parent Context.
   *  Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
   */
  // const context = 'abc123'
  /**
   *  The resource names of the child Contexts.
   */
  // const childContexts = ['abc','def']

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

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

  async function callAddContextChildren() {
    // Construct request
    const request = {
      context,
    };

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

  callAddContextChildren();

addContextChildren(request, options, callback)

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

Parameters
Name	Description
`request`	`IAddContextChildrenRequest`
`options`	`CallOptions`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.IAddContextChildrenResponse, protos.google.cloud.aiplatform.v1.IAddContextChildrenRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

addContextChildren(request, callback)

addContextChildren(request: protos.google.cloud.aiplatform.v1.IAddContextChildrenRequest, callback: Callback<protos.google.cloud.aiplatform.v1.IAddContextChildrenResponse, protos.google.cloud.aiplatform.v1.IAddContextChildrenRequest | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`IAddContextChildrenRequest`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.IAddContextChildrenResponse, protos.google.cloud.aiplatform.v1.IAddContextChildrenRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

addExecutionEvents(request, options)

addExecutionEvents(request?: protos.google.cloud.aiplatform.v1.IAddExecutionEventsRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.IAddExecutionEventsResponse,
        protos.google.cloud.aiplatform.v1.IAddExecutionEventsRequest | undefined,
        {} | undefined
    ]>;

Adds Events to the specified Execution. An Event indicates whether an Artifact was used as an input or output for an Execution. If an Event already exists between the Execution and the Artifact, the Event is skipped.

Parameters
Name	Description
`request`	`IAddExecutionEventsRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Promise<[ protos.google.cloud.aiplatform.v1.IAddExecutionEventsResponse, protos.google.cloud.aiplatform.v1.IAddExecutionEventsRequest \| undefined, {} \| undefined ]>`	{Promise} - The promise which resolves to an array. The first element of the array is an object representing AddExecutionEventsResponse. Please see the documentation for more details and examples.

Example


  /**
   * 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 Execution that the Events connect
   *  Artifacts with.
   *  Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
   */
  // const execution = 'abc123'
  /**
   *  The Events to create and add.
   */
  // const events = [1,2,3,4]

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

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

  async function callAddExecutionEvents() {
    // Construct request
    const request = {
      execution,
    };

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

  callAddExecutionEvents();

addExecutionEvents(request, options, callback)

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

Parameters
Name	Description
`request`	`IAddExecutionEventsRequest`
`options`	`CallOptions`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.IAddExecutionEventsResponse, protos.google.cloud.aiplatform.v1.IAddExecutionEventsRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

addExecutionEvents(request, callback)

addExecutionEvents(request: protos.google.cloud.aiplatform.v1.IAddExecutionEventsRequest, callback: Callback<protos.google.cloud.aiplatform.v1.IAddExecutionEventsResponse, protos.google.cloud.aiplatform.v1.IAddExecutionEventsRequest | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`IAddExecutionEventsRequest`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.IAddExecutionEventsResponse, protos.google.cloud.aiplatform.v1.IAddExecutionEventsRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

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

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

Return a fully-qualified annotation resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`dataset`	`string`
`dataItem`	`string`
`annotation`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

annotationSpecPath(project, location, dataset, annotationSpec)

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

Return a fully-qualified annotationSpec resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`dataset`	`string`
`annotationSpec`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

artifactPath(project, location, metadataStore, artifact)

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

Return a fully-qualified artifact resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`metadataStore`	`string`
`artifact`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

batchPredictionJobPath(project, location, batchPredictionJob)

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

Return a fully-qualified batchPredictionJob resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`batchPredictionJob`	`string`

Returns
Type	Description
`string`	{string} Resource name 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>;

Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED. Clients can use or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an value with a of 1, corresponding to Code.CANCELLED.

Parameters
Name	Description
`request`	`CancelOperationRequest` The request object that will be sent.
`options`	`CallOptions \| Callback<protos.google.protobuf.Empty, protos.google.longrunning.CancelOperationRequest, {} \| undefined \| null>` Optional parameters. You can override the default settings for this call, e.g, timeout, retries, paginations, etc. See gax.CallOptions for the details.
`callback`	`Callback<protos.google.longrunning.CancelOperationRequest, protos.google.protobuf.Empty, {} \| undefined \| null>` The function which will be called with the result of the API call. {Promise} - The promise which resolves when API call finishes. The promise has a method named "cancel" which cancels the ongoing API call.

Returns
Type	Description
`Promise<protos.google.protobuf.Empty>`

Example


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

checkCreateMetadataStoreProgress(name)

checkCreateMetadataStoreProgress(name: string): Promise<LROperation<protos.google.cloud.aiplatform.v1.MetadataStore, protos.google.cloud.aiplatform.v1.CreateMetadataStoreOperationMetadata>>;

Check the status of the long running operation returned by createMetadataStore().

Parameter
Name	Description
`name`	`string` The operation name that will be passed.

Returns
Type	Description
`Promise<LROperation<protos.google.cloud.aiplatform.v1.MetadataStore, protos.google.cloud.aiplatform.v1.CreateMetadataStoreOperationMetadata>>`	{Promise} - The promise which resolves to an object. The decoded operation object has result and metadata field to get information from. Please see the documentation for more details and examples.

Example


  /**
   * 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 where the MetadataStore should
   *  be created.
   *  Format: `projects/{project}/locations/{location}/`
   */
  // const parent = 'abc123'
  /**
   *  Required. The MetadataStore to create.
   */
  // const metadataStore = {}
  /**
   *  The {metadatastore} portion of the resource name with the format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
   *  If not provided, the MetadataStore's ID will be a UUID generated by the
   *  service.
   *  Must be 4-128 characters in length. Valid characters are `/[a-z][0-9]-/`.
   *  Must be unique across all MetadataStores in the parent Location.
   *  (Otherwise the request will fail with ALREADY_EXISTS, or PERMISSION_DENIED
   *  if the caller can't view the preexisting MetadataStore.)
   */
  // const metadataStoreId = 'abc123'

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

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

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

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

  callCreateMetadataStore();

checkDeleteArtifactProgress(name)

checkDeleteArtifactProgress(name: string): Promise<LROperation<protos.google.protobuf.Empty, protos.google.cloud.aiplatform.v1.DeleteOperationMetadata>>;

Check the status of the long running operation returned by deleteArtifact().

Parameter
Name	Description
`name`	`string` The operation name that will be passed.

Returns
Type	Description
`Promise<LROperation<protos.google.protobuf.Empty, protos.google.cloud.aiplatform.v1.DeleteOperationMetadata>>`	{Promise} - The promise which resolves to an object. The decoded operation object has result and metadata field to get information from. Please see the documentation for more details and examples.

Example


  /**
   * 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 Artifact to delete.
   *  Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
   */
  // const name = 'abc123'
  /**
   *  Optional. The etag of the Artifact to delete.
   *  If this is provided, it must match the server's etag. Otherwise, the
   *  request will fail with a FAILED_PRECONDITION.
   */
  // const etag = 'abc123'

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

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

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

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

  callDeleteArtifact();

checkDeleteContextProgress(name)

checkDeleteContextProgress(name: string): Promise<LROperation<protos.google.protobuf.Empty, protos.google.cloud.aiplatform.v1.DeleteOperationMetadata>>;

Check the status of the long running operation returned by deleteContext().

Parameter
Name	Description
`name`	`string` The operation name that will be passed.

Returns
Type	Description
`Promise<LROperation<protos.google.protobuf.Empty, protos.google.cloud.aiplatform.v1.DeleteOperationMetadata>>`	{Promise} - The promise which resolves to an object. The decoded operation object has result and metadata field to get information from. Please see the documentation for more details and examples.

Example


  /**
   * 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 Context to delete.
   *  Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
   */
  // const name = 'abc123'
  /**
   *  The force deletion semantics is still undefined.
   *  Users should not use this field.
   */
  // const force = true
  /**
   *  Optional. The etag of the Context to delete.
   *  If this is provided, it must match the server's etag. Otherwise, the
   *  request will fail with a FAILED_PRECONDITION.
   */
  // const etag = 'abc123'

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

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

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

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

  callDeleteContext();

checkDeleteExecutionProgress(name)

checkDeleteExecutionProgress(name: string): Promise<LROperation<protos.google.protobuf.Empty, protos.google.cloud.aiplatform.v1.DeleteOperationMetadata>>;

Check the status of the long running operation returned by deleteExecution().

Parameter
Name	Description
`name`	`string` The operation name that will be passed.

Returns
Type	Description
`Promise<LROperation<protos.google.protobuf.Empty, protos.google.cloud.aiplatform.v1.DeleteOperationMetadata>>`	{Promise} - The promise which resolves to an object. The decoded operation object has result and metadata field to get information from. Please see the documentation for more details and examples.

Example


  /**
   * 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 Execution to delete.
   *  Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
   */
  // const name = 'abc123'
  /**
   *  Optional. The etag of the Execution to delete.
   *  If this is provided, it must match the server's etag. Otherwise, the
   *  request will fail with a FAILED_PRECONDITION.
   */
  // const etag = 'abc123'

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

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

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

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

  callDeleteExecution();

checkDeleteMetadataStoreProgress(name)

checkDeleteMetadataStoreProgress(name: string): Promise<LROperation<protos.google.protobuf.Empty, protos.google.cloud.aiplatform.v1.DeleteMetadataStoreOperationMetadata>>;

Check the status of the long running operation returned by deleteMetadataStore().

Parameter
Name	Description
`name`	`string` The operation name that will be passed.

Returns
Type	Description
`Promise<LROperation<protos.google.protobuf.Empty, protos.google.cloud.aiplatform.v1.DeleteMetadataStoreOperationMetadata>>`	{Promise} - The promise which resolves to an object. The decoded operation object has result and metadata field to get information from. Please see the documentation for more details and examples.

Example


  /**
   * 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 MetadataStore to delete.
   *  Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
   */
  // const name = 'abc123'

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

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

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

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

  callDeleteMetadataStore();

checkPurgeArtifactsProgress(name)

checkPurgeArtifactsProgress(name: string): Promise<LROperation<protos.google.cloud.aiplatform.v1.PurgeArtifactsResponse, protos.google.cloud.aiplatform.v1.PurgeArtifactsMetadata>>;

Check the status of the long running operation returned by purgeArtifacts().

Parameter
Name	Description
`name`	`string` The operation name that will be passed.

Returns
Type	Description
`Promise<LROperation<protos.google.cloud.aiplatform.v1.PurgeArtifactsResponse, protos.google.cloud.aiplatform.v1.PurgeArtifactsMetadata>>`	{Promise} - The promise which resolves to an object. The decoded operation object has result and metadata field to get information from. Please see the documentation for more details and examples.

Example


  /**
   * 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 metadata store to purge Artifacts from.
   *  Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
   */
  // const parent = 'abc123'
  /**
   *  Required. A required filter matching the Artifacts to be purged.
   *  E.g., `update_time <= 2020-11-19t11:30:00-04:00`.="" */="" const="" filter='abc123' *="" *="" optional.="" flag="" to="" indicate="" to="" actually="" perform="" the="" purge.="" *="" if="" `force`="" is="" set="" to="" false,="" the="" method="" will="" return="" a="" sample="" of="" *="" artifact="" names="" that="" would="" be="" deleted.="" */="" const="" force="true" imports="" the="" aiplatform="" library="" const="" {metadataserviceclient}="require('@google-cloud/aiplatform').v1;" instantiates="" a="" client="" const="" aiplatformclient="new" metadataserviceclient();="" async="" function="" callpurgeartifacts()="" {="" construct="" request="" const="" request="{" parent,="" filter,="" };="" run="" request="" const="" [operation]="await" aiplatformclient.purgeartifacts(request);="" const="" [response]="await" operation.promise();="" console.log(response);="" }="" callpurgeartifacts();="">

checkPurgeContextsProgress(name)

checkPurgeContextsProgress(name: string): Promise<LROperation<protos.google.cloud.aiplatform.v1.PurgeContextsResponse, protos.google.cloud.aiplatform.v1.PurgeContextsMetadata>>;

Check the status of the long running operation returned by purgeContexts().

Parameter
Name	Description
`name`	`string` The operation name that will be passed.

Returns
Type	Description
`Promise<LROperation<protos.google.cloud.aiplatform.v1.PurgeContextsResponse, protos.google.cloud.aiplatform.v1.PurgeContextsMetadata>>`	{Promise} - The promise which resolves to an object. The decoded operation object has result and metadata field to get information from. Please see the documentation for more details and examples.

Example


  /**
   * 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 metadata store to purge Contexts from.
   *  Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
   */
  // const parent = 'abc123'
  /**
   *  Required. A required filter matching the Contexts to be purged.
   *  E.g., `update_time <= 2020-11-19t11:30:00-04:00`.="" */="" const="" filter='abc123' *="" *="" optional.="" flag="" to="" indicate="" to="" actually="" perform="" the="" purge.="" *="" if="" `force`="" is="" set="" to="" false,="" the="" method="" will="" return="" a="" sample="" of="" *="" context="" names="" that="" would="" be="" deleted.="" */="" const="" force="true" imports="" the="" aiplatform="" library="" const="" {metadataserviceclient}="require('@google-cloud/aiplatform').v1;" instantiates="" a="" client="" const="" aiplatformclient="new" metadataserviceclient();="" async="" function="" callpurgecontexts()="" {="" construct="" request="" const="" request="{" parent,="" filter,="" };="" run="" request="" const="" [operation]="await" aiplatformclient.purgecontexts(request);="" const="" [response]="await" operation.promise();="" console.log(response);="" }="" callpurgecontexts();="">

checkPurgeExecutionsProgress(name)

checkPurgeExecutionsProgress(name: string): Promise<LROperation<protos.google.cloud.aiplatform.v1.PurgeExecutionsResponse, protos.google.cloud.aiplatform.v1.PurgeExecutionsMetadata>>;

Check the status of the long running operation returned by purgeExecutions().

Parameter
Name	Description
`name`	`string` The operation name that will be passed.

Returns
Type	Description
`Promise<LROperation<protos.google.cloud.aiplatform.v1.PurgeExecutionsResponse, protos.google.cloud.aiplatform.v1.PurgeExecutionsMetadata>>`	{Promise} - The promise which resolves to an object. The decoded operation object has result and metadata field to get information from. Please see the documentation for more details and examples.

Example


  /**
   * 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 metadata store to purge Executions from.
   *  Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
   */
  // const parent = 'abc123'
  /**
   *  Required. A required filter matching the Executions to be purged.
   *  E.g., `update_time <= 2020-11-19t11:30:00-04:00`.="" */="" const="" filter='abc123' *="" *="" optional.="" flag="" to="" indicate="" to="" actually="" perform="" the="" purge.="" *="" if="" `force`="" is="" set="" to="" false,="" the="" method="" will="" return="" a="" sample="" of="" *="" execution="" names="" that="" would="" be="" deleted.="" */="" const="" force="true" imports="" the="" aiplatform="" library="" const="" {metadataserviceclient}="require('@google-cloud/aiplatform').v1;" instantiates="" a="" client="" const="" aiplatformclient="new" metadataserviceclient();="" async="" function="" callpurgeexecutions()="" {="" construct="" request="" const="" request="{" parent,="" filter,="" };="" run="" request="" const="" [operation]="await" aiplatformclient.purgeexecutions(request);="" const="" [response]="await" operation.promise();="" console.log(response);="" }="" callpurgeexecutions();="">

close()

close(): Promise<void>;

Terminate the gRPC channel and close the client.

The client will no longer be usable and all future behavior is undefined.

Returns
Type	Description
`Promise<void>`	{Promise} A promise that resolves when the client is closed.

contextPath(project, location, metadataStore, context)

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

Return a fully-qualified context resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`metadataStore`	`string`
`context`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

createArtifact(request, options)

createArtifact(request?: protos.google.cloud.aiplatform.v1.ICreateArtifactRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.IArtifact,
        protos.google.cloud.aiplatform.v1.ICreateArtifactRequest | undefined,
        {} | undefined
    ]>;

Creates an Artifact associated with a MetadataStore.

Parameters
Name	Description
`request`	`ICreateArtifactRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Promise<[ protos.google.cloud.aiplatform.v1.IArtifact, protos.google.cloud.aiplatform.v1.ICreateArtifactRequest \| undefined, {} \| undefined ]>`	{Promise} - The promise which resolves to an array. The first element of the array is an object representing . Please see the documentation for more details and examples.

Example


  /**
   * 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 MetadataStore where the Artifact should
   *  be created.
   *  Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
   */
  // const parent = 'abc123'
  /**
   *  Required. The Artifact to create.
   */
  // const artifact = {}
  /**
   *  The {artifact} portion of the resource name with the format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
   *  If not provided, the Artifact's ID will be a UUID generated by the service.
   *  Must be 4-128 characters in length. Valid characters are `/[a-z][0-9]-/`.
   *  Must be unique across all Artifacts in the parent MetadataStore. (Otherwise
   *  the request will fail with ALREADY_EXISTS, or PERMISSION_DENIED if the
   *  caller can't view the preexisting Artifact.)
   */
  // const artifactId = 'abc123'

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

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

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

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

  callCreateArtifact();

createArtifact(request, options, callback)

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

Parameters
Name	Description
`request`	`ICreateArtifactRequest`
`options`	`CallOptions`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.IArtifact, protos.google.cloud.aiplatform.v1.ICreateArtifactRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

createArtifact(request, callback)

createArtifact(request: protos.google.cloud.aiplatform.v1.ICreateArtifactRequest, callback: Callback<protos.google.cloud.aiplatform.v1.IArtifact, protos.google.cloud.aiplatform.v1.ICreateArtifactRequest | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`ICreateArtifactRequest`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.IArtifact, protos.google.cloud.aiplatform.v1.ICreateArtifactRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

createContext(request, options)

createContext(request?: protos.google.cloud.aiplatform.v1.ICreateContextRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.IContext,
        protos.google.cloud.aiplatform.v1.ICreateContextRequest | undefined,
        {} | undefined
    ]>;

Creates a Context associated with a MetadataStore.

Parameters
Name	Description
`request`	`ICreateContextRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Promise<[ protos.google.cloud.aiplatform.v1.IContext, protos.google.cloud.aiplatform.v1.ICreateContextRequest \| undefined, {} \| undefined ]>`	{Promise} - The promise which resolves to an array. The first element of the array is an object representing Context. Please see the documentation for more details and examples.

Example


  /**
   * 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 MetadataStore where the Context should
   *  be created. Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
   */
  // const parent = 'abc123'
  /**
   *  Required. The Context to create.
   */
  // const context = {}
  /**
   *  The {context} portion of the resource name with the format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`.
   *  If not provided, the Context's ID will be a UUID generated by the service.
   *  Must be 4-128 characters in length. Valid characters are `/[a-z][0-9]-/`.
   *  Must be unique across all Contexts in the parent MetadataStore. (Otherwise
   *  the request will fail with ALREADY_EXISTS, or PERMISSION_DENIED if the
   *  caller can't view the preexisting Context.)
   */
  // const contextId = 'abc123'

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

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

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

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

  callCreateContext();

createContext(request, options, callback)

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

Parameters
Name	Description
`request`	`ICreateContextRequest`
`options`	`CallOptions`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.IContext, protos.google.cloud.aiplatform.v1.ICreateContextRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

createContext(request, callback)

createContext(request: protos.google.cloud.aiplatform.v1.ICreateContextRequest, callback: Callback<protos.google.cloud.aiplatform.v1.IContext, protos.google.cloud.aiplatform.v1.ICreateContextRequest | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`ICreateContextRequest`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.IContext, protos.google.cloud.aiplatform.v1.ICreateContextRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

createExecution(request, options)

createExecution(request?: protos.google.cloud.aiplatform.v1.ICreateExecutionRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.IExecution,
        protos.google.cloud.aiplatform.v1.ICreateExecutionRequest | undefined,
        {} | undefined
    ]>;

Creates an Execution associated with a MetadataStore.

Parameters
Name	Description
`request`	`ICreateExecutionRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Promise<[ protos.google.cloud.aiplatform.v1.IExecution, protos.google.cloud.aiplatform.v1.ICreateExecutionRequest \| undefined, {} \| undefined ]>`	{Promise} - The promise which resolves to an array. The first element of the array is an object representing . Please see the documentation for more details and examples.

Example


  /**
   * 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 MetadataStore where the Execution should
   *  be created.
   *  Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
   */
  // const parent = 'abc123'
  /**
   *  Required. The Execution to create.
   */
  // const execution = {}
  /**
   *  The {execution} portion of the resource name with the format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
   *  If not provided, the Execution's ID will be a UUID generated by the
   *  service.
   *  Must be 4-128 characters in length. Valid characters are `/[a-z][0-9]-/`.
   *  Must be unique across all Executions in the parent MetadataStore.
   *  (Otherwise the request will fail with ALREADY_EXISTS, or PERMISSION_DENIED
   *  if the caller can't view the preexisting Execution.)
   */
  // const executionId = 'abc123'

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

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

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

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

  callCreateExecution();

createExecution(request, options, callback)

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

Parameters
Name	Description
`request`	`ICreateExecutionRequest`
`options`	`CallOptions`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.IExecution, protos.google.cloud.aiplatform.v1.ICreateExecutionRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

createExecution(request, callback)

createExecution(request: protos.google.cloud.aiplatform.v1.ICreateExecutionRequest, callback: Callback<protos.google.cloud.aiplatform.v1.IExecution, protos.google.cloud.aiplatform.v1.ICreateExecutionRequest | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`ICreateExecutionRequest`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.IExecution, protos.google.cloud.aiplatform.v1.ICreateExecutionRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

createMetadataSchema(request, options)

createMetadataSchema(request?: protos.google.cloud.aiplatform.v1.ICreateMetadataSchemaRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.IMetadataSchema,
        (protos.google.cloud.aiplatform.v1.ICreateMetadataSchemaRequest | undefined),
        {} | undefined
    ]>;

Creates a MetadataSchema.

Parameters
Name	Description
`request`	`ICreateMetadataSchemaRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Promise<[ protos.google.cloud.aiplatform.v1.IMetadataSchema, (protos.google.cloud.aiplatform.v1.ICreateMetadataSchemaRequest \| undefined), {} \| undefined ]>`	{Promise} - The promise which resolves to an array. The first element of the array is an object representing . Please see the documentation for more details and examples.

Example


  /**
   * 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 MetadataStore where the MetadataSchema
   *  should be created. Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
   */
  // const parent = 'abc123'
  /**
   *  Required. The MetadataSchema to create.
   */
  // const metadataSchema = {}
  /**
   *  The {metadata_schema} portion of the resource name with the format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}/metadataSchemas/{metadataschema}`
   *  If not provided, the MetadataStore's ID will be a UUID generated by the
   *  service.
   *  Must be 4-128 characters in length. Valid characters are `/[a-z][0-9]-/`.
   *  Must be unique across all MetadataSchemas in the parent Location.
   *  (Otherwise the request will fail with ALREADY_EXISTS, or PERMISSION_DENIED
   *  if the caller can't view the preexisting MetadataSchema.)
   */
  // const metadataSchemaId = 'abc123'

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

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

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

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

  callCreateMetadataSchema();

createMetadataSchema(request, options, callback)

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

Parameters
Name	Description
`request`	`ICreateMetadataSchemaRequest`
`options`	`CallOptions`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.IMetadataSchema, protos.google.cloud.aiplatform.v1.ICreateMetadataSchemaRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

createMetadataSchema(request, callback)

createMetadataSchema(request: protos.google.cloud.aiplatform.v1.ICreateMetadataSchemaRequest, callback: Callback<protos.google.cloud.aiplatform.v1.IMetadataSchema, protos.google.cloud.aiplatform.v1.ICreateMetadataSchemaRequest | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`ICreateMetadataSchemaRequest`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.IMetadataSchema, protos.google.cloud.aiplatform.v1.ICreateMetadataSchemaRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

createMetadataStore(request, options)

createMetadataStore(request?: protos.google.cloud.aiplatform.v1.ICreateMetadataStoreRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.cloud.aiplatform.v1.IMetadataStore, protos.google.cloud.aiplatform.v1.ICreateMetadataStoreOperationMetadata>,
        protos.google.longrunning.IOperation | undefined,
        {} | undefined
    ]>;

Initializes a MetadataStore, including allocation of resources.

Parameters
Name	Description
`request`	`ICreateMetadataStoreRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Promise<[ LROperation<protos.google.cloud.aiplatform.v1.IMetadataStore, protos.google.cloud.aiplatform.v1.ICreateMetadataStoreOperationMetadata>, protos.google.longrunning.IOperation \| undefined, {} \| undefined ]>`	{Promise} - The promise which resolves to an array. The first element of the array is an object representing a long running operation. Its `promise()` method returns a promise you can `await` for. Please see the documentation for more details and examples.

Example


  /**
   * 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 where the MetadataStore should
   *  be created.
   *  Format: `projects/{project}/locations/{location}/`
   */
  // const parent = 'abc123'
  /**
   *  Required. The MetadataStore to create.
   */
  // const metadataStore = {}
  /**
   *  The {metadatastore} portion of the resource name with the format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
   *  If not provided, the MetadataStore's ID will be a UUID generated by the
   *  service.
   *  Must be 4-128 characters in length. Valid characters are `/[a-z][0-9]-/`.
   *  Must be unique across all MetadataStores in the parent Location.
   *  (Otherwise the request will fail with ALREADY_EXISTS, or PERMISSION_DENIED
   *  if the caller can't view the preexisting MetadataStore.)
   */
  // const metadataStoreId = 'abc123'

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

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

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

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

  callCreateMetadataStore();

createMetadataStore(request, options, callback)

createMetadataStore(request: protos.google.cloud.aiplatform.v1.ICreateMetadataStoreRequest, options: CallOptions, callback: Callback<LROperation<protos.google.cloud.aiplatform.v1.IMetadataStore, protos.google.cloud.aiplatform.v1.ICreateMetadataStoreOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`ICreateMetadataStoreRequest`
`options`	`CallOptions`
`callback`	`Callback<LROperation<protos.google.cloud.aiplatform.v1.IMetadataStore, protos.google.cloud.aiplatform.v1.ICreateMetadataStoreOperationMetadata>, protos.google.longrunning.IOperation \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

createMetadataStore(request, callback)

createMetadataStore(request: protos.google.cloud.aiplatform.v1.ICreateMetadataStoreRequest, callback: Callback<LROperation<protos.google.cloud.aiplatform.v1.IMetadataStore, protos.google.cloud.aiplatform.v1.ICreateMetadataStoreOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`ICreateMetadataStoreRequest`
`callback`	`Callback<LROperation<protos.google.cloud.aiplatform.v1.IMetadataStore, protos.google.cloud.aiplatform.v1.ICreateMetadataStoreOperationMetadata>, protos.google.longrunning.IOperation \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

customJobPath(project, location, customJob)

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

Return a fully-qualified customJob resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`customJob`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

dataItemPath(project, location, dataset, dataItem)

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

Return a fully-qualified dataItem resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`dataset`	`string`
`dataItem`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

dataLabelingJobPath(project, location, dataLabelingJob)

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

Return a fully-qualified dataLabelingJob resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`dataLabelingJob`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

datasetPath(project, location, dataset)

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

Return a fully-qualified dataset resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`dataset`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

deleteArtifact(request, options)

deleteArtifact(request?: protos.google.cloud.aiplatform.v1.IDeleteArtifactRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata>,
        protos.google.longrunning.IOperation | undefined,
        {} | undefined
    ]>;

Deletes an Artifact.

Parameters
Name	Description
`request`	`IDeleteArtifactRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Promise<[ LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata>, protos.google.longrunning.IOperation \| undefined, {} \| undefined ]>`	{Promise} - The promise which resolves to an array. The first element of the array is an object representing a long running operation. Its `promise()` method returns a promise you can `await` for. Please see the documentation for more details and examples.

Example


  /**
   * 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 Artifact to delete.
   *  Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
   */
  // const name = 'abc123'
  /**
   *  Optional. The etag of the Artifact to delete.
   *  If this is provided, it must match the server's etag. Otherwise, the
   *  request will fail with a FAILED_PRECONDITION.
   */
  // const etag = 'abc123'

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

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

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

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

  callDeleteArtifact();

deleteArtifact(request, options, callback)

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

Parameters
Name	Description
`request`	`IDeleteArtifactRequest`
`options`	`CallOptions`
`callback`	`Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata>, protos.google.longrunning.IOperation \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

deleteArtifact(request, callback)

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

Parameters
Name	Description
`request`	`IDeleteArtifactRequest`
`callback`	`Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata>, protos.google.longrunning.IOperation \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

deleteContext(request, options)

deleteContext(request?: protos.google.cloud.aiplatform.v1.IDeleteContextRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata>,
        protos.google.longrunning.IOperation | undefined,
        {} | undefined
    ]>;

Deletes a stored Context.

Parameters
Name	Description
`request`	`IDeleteContextRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Promise<[ LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata>, protos.google.longrunning.IOperation \| undefined, {} \| undefined ]>`	{Promise} - The promise which resolves to an array. The first element of the array is an object representing a long running operation. Its `promise()` method returns a promise you can `await` for. Please see the documentation for more details and examples.

Example


  /**
   * 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 Context to delete.
   *  Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
   */
  // const name = 'abc123'
  /**
   *  The force deletion semantics is still undefined.
   *  Users should not use this field.
   */
  // const force = true
  /**
   *  Optional. The etag of the Context to delete.
   *  If this is provided, it must match the server's etag. Otherwise, the
   *  request will fail with a FAILED_PRECONDITION.
   */
  // const etag = 'abc123'

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

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

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

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

  callDeleteContext();

deleteContext(request, options, callback)

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

Parameters
Name	Description
`request`	`IDeleteContextRequest`
`options`	`CallOptions`
`callback`	`Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata>, protos.google.longrunning.IOperation \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

deleteContext(request, callback)

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

Parameters
Name	Description
`request`	`IDeleteContextRequest`
`callback`	`Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata>, protos.google.longrunning.IOperation \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

deleteExecution(request, options)

deleteExecution(request?: protos.google.cloud.aiplatform.v1.IDeleteExecutionRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata>,
        protos.google.longrunning.IOperation | undefined,
        {} | undefined
    ]>;

Deletes an Execution.

Parameters
Name	Description
`request`	`IDeleteExecutionRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Promise<[ LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata>, protos.google.longrunning.IOperation \| undefined, {} \| undefined ]>`	{Promise} - The promise which resolves to an array. The first element of the array is an object representing a long running operation. Its `promise()` method returns a promise you can `await` for. Please see the documentation for more details and examples.

Example


  /**
   * 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 Execution to delete.
   *  Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
   */
  // const name = 'abc123'
  /**
   *  Optional. The etag of the Execution to delete.
   *  If this is provided, it must match the server's etag. Otherwise, the
   *  request will fail with a FAILED_PRECONDITION.
   */
  // const etag = 'abc123'

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

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

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

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

  callDeleteExecution();

deleteExecution(request, options, callback)

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

Parameters
Name	Description
`request`	`IDeleteExecutionRequest`
`options`	`CallOptions`
`callback`	`Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata>, protos.google.longrunning.IOperation \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

deleteExecution(request, callback)

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

Parameters
Name	Description
`request`	`IDeleteExecutionRequest`
`callback`	`Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata>, protos.google.longrunning.IOperation \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

deleteMetadataStore(request, options)

deleteMetadataStore(request?: protos.google.cloud.aiplatform.v1.IDeleteMetadataStoreRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1.IDeleteMetadataStoreOperationMetadata>,
        protos.google.longrunning.IOperation | undefined,
        {} | undefined
    ]>;

Deletes a single MetadataStore and all its child resources (Artifacts, Executions, and Contexts).

Parameters
Name	Description
`request`	`IDeleteMetadataStoreRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Promise<[ LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1.IDeleteMetadataStoreOperationMetadata>, protos.google.longrunning.IOperation \| undefined, {} \| undefined ]>`	{Promise} - The promise which resolves to an array. The first element of the array is an object representing a long running operation. Its `promise()` method returns a promise you can `await` for. Please see the documentation for more details and examples.

Example


  /**
   * 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 MetadataStore to delete.
   *  Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
   */
  // const name = 'abc123'

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

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

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

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

  callDeleteMetadataStore();

deleteMetadataStore(request, options, callback)

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

Parameters
Name	Description
`request`	`IDeleteMetadataStoreRequest`
`options`	`CallOptions`
`callback`	`Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1.IDeleteMetadataStoreOperationMetadata>, protos.google.longrunning.IOperation \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

deleteMetadataStore(request, callback)

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

Parameters
Name	Description
`request`	`IDeleteMetadataStoreRequest`
`callback`	`Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1.IDeleteMetadataStoreOperationMetadata>, protos.google.longrunning.IOperation \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`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>;

Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters
Name	Description
`request`	`DeleteOperationRequest` The request object that will be sent.
`options`	`CallOptions \| Callback<protos.google.protobuf.Empty, protos.google.longrunning.DeleteOperationRequest, {} \| null \| undefined>` Optional parameters. You can override the default settings for this call, e.g, timeout, retries, paginations, etc. See gax.CallOptions for the details.
`callback`	`Callback<protos.google.protobuf.Empty, protos.google.longrunning.DeleteOperationRequest, {} \| null \| undefined>` The function which will be called with the result of the API call. {Promise} - The promise which resolves when API call finishes. The promise has a method named "cancel" which cancels the ongoing API call.

Returns
Type	Description
`Promise<protos.google.protobuf.Empty>`

Example


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

entityTypePath(project, location, featurestore, entityType)

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

Return a fully-qualified entityType resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`featurestore`	`string`
`entityType`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

executionPath(project, location, metadataStore, execution)

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

Return a fully-qualified execution resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`metadataStore`	`string`
`execution`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

featurePath(project, location, featurestore, entityType, feature)

featurePath(project: string, location: string, featurestore: string, entityType: string, feature: string): string;

Return a fully-qualified feature resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`featurestore`	`string`
`entityType`	`string`
`feature`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

featurestorePath(project, location, featurestore)

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

Return a fully-qualified featurestore resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`featurestore`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

getArtifact(request, options)

getArtifact(request?: protos.google.cloud.aiplatform.v1.IGetArtifactRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.IArtifact,
        protos.google.cloud.aiplatform.v1.IGetArtifactRequest | undefined,
        {} | undefined
    ]>;

Retrieves a specific Artifact.

Parameters
Name	Description
`request`	`IGetArtifactRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Promise<[ protos.google.cloud.aiplatform.v1.IArtifact, protos.google.cloud.aiplatform.v1.IGetArtifactRequest \| undefined, {} \| undefined ]>`	{Promise} - The promise which resolves to an array. The first element of the array is an object representing . Please see the documentation for more details and examples.

Example


  /**
   * 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 Artifact to retrieve.
   *  Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
   */
  // const name = 'abc123'

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

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

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

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

  callGetArtifact();

getArtifact(request, options, callback)

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

Parameters
Name	Description
`request`	`IGetArtifactRequest`
`options`	`CallOptions`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.IArtifact, protos.google.cloud.aiplatform.v1.IGetArtifactRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

getArtifact(request, callback)

getArtifact(request: protos.google.cloud.aiplatform.v1.IGetArtifactRequest, callback: Callback<protos.google.cloud.aiplatform.v1.IArtifact, protos.google.cloud.aiplatform.v1.IGetArtifactRequest | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`IGetArtifactRequest`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.IArtifact, protos.google.cloud.aiplatform.v1.IGetArtifactRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

getContext(request, options)

getContext(request?: protos.google.cloud.aiplatform.v1.IGetContextRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.IContext,
        protos.google.cloud.aiplatform.v1.IGetContextRequest | undefined,
        {} | undefined
    ]>;

Retrieves a specific Context.

Parameters
Name	Description
`request`	`IGetContextRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Promise<[ protos.google.cloud.aiplatform.v1.IContext, protos.google.cloud.aiplatform.v1.IGetContextRequest \| undefined, {} \| undefined ]>`	{Promise} - The promise which resolves to an array. The first element of the array is an object representing Context. Please see the documentation for more details and examples.

Example


  /**
   * 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 Context to retrieve.
   *  Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
   */
  // const name = 'abc123'

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

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

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

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

  callGetContext();

getContext(request, options, callback)

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

Parameters
Name	Description
`request`	`IGetContextRequest`
`options`	`CallOptions`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.IContext, protos.google.cloud.aiplatform.v1.IGetContextRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

getContext(request, callback)

getContext(request: protos.google.cloud.aiplatform.v1.IGetContextRequest, callback: Callback<protos.google.cloud.aiplatform.v1.IContext, protos.google.cloud.aiplatform.v1.IGetContextRequest | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`IGetContextRequest`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.IContext, protos.google.cloud.aiplatform.v1.IGetContextRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

getExecution(request, options)

getExecution(request?: protos.google.cloud.aiplatform.v1.IGetExecutionRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.IExecution,
        protos.google.cloud.aiplatform.v1.IGetExecutionRequest | undefined,
        {} | undefined
    ]>;

Retrieves a specific Execution.

Parameters
Name	Description
`request`	`IGetExecutionRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Promise<[ protos.google.cloud.aiplatform.v1.IExecution, protos.google.cloud.aiplatform.v1.IGetExecutionRequest \| undefined, {} \| undefined ]>`	{Promise} - The promise which resolves to an array. The first element of the array is an object representing . Please see the documentation for more details and examples.

Example


  /**
   * 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 Execution to retrieve.
   *  Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
   */
  // const name = 'abc123'

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

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

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

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

  callGetExecution();

getExecution(request, options, callback)

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

Parameters
Name	Description
`request`	`IGetExecutionRequest`
`options`	`CallOptions`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.IExecution, protos.google.cloud.aiplatform.v1.IGetExecutionRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

getExecution(request, callback)

getExecution(request: protos.google.cloud.aiplatform.v1.IGetExecutionRequest, callback: Callback<protos.google.cloud.aiplatform.v1.IExecution, protos.google.cloud.aiplatform.v1.IGetExecutionRequest | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`IGetExecutionRequest`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.IExecution, protos.google.cloud.aiplatform.v1.IGetExecutionRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`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]>;

Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.

Parameters
Name	Description
`request`	`IamProtos.google.iam.v1.GetIamPolicyRequest` The request object that will be sent.
`options`	`CallOptions \| Callback<google.iam.v1.Policy, google.iam.v1.GetIamPolicyRequest \| null \| undefined, {} \| null \| undefined>` Optional parameters. You can override the default settings for this call, e.g, timeout, retries, paginations, etc. See gax.CallOptions for the details.
`callback`	`Callback<google.iam.v1.Policy, google.iam.v1.GetIamPolicyRequest \| null \| undefined, {} \| null \| undefined>` The function which will be called with the result of the API call. The second parameter to the callback is an object representing .

Returns
Type	Description
`Promise<[google.iam.v1.Policy]>`	{Promise} - The promise which resolves to an array. The first element of the array is an object representing . The promise has a method named "cancel" which cancels the ongoing API call.

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>;

Gets information about a location.

Parameters
Name	Description
`request`	`LocationProtos.google.cloud.location.IGetLocationRequest` The request object that will be sent.
`options`	`CallOptions \| Callback<google.cloud.location.ILocation, google.cloud.location.IGetLocationRequest \| null \| undefined, {} \| null \| undefined>` Call options. See CallOptions for more details.
`callback`	`Callback<google.cloud.location.ILocation, google.cloud.location.IGetLocationRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`Promise<google.cloud.location.ILocation>`	{Promise} - The promise which resolves to an array. The first element of the array is an object representing . Please see the documentation for more details and examples.

Example


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

getMetadataSchema(request, options)

getMetadataSchema(request?: protos.google.cloud.aiplatform.v1.IGetMetadataSchemaRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.IMetadataSchema,
        protos.google.cloud.aiplatform.v1.IGetMetadataSchemaRequest | undefined,
        {} | undefined
    ]>;

Retrieves a specific MetadataSchema.

Parameters
Name	Description
`request`	`IGetMetadataSchemaRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Promise<[ protos.google.cloud.aiplatform.v1.IMetadataSchema, protos.google.cloud.aiplatform.v1.IGetMetadataSchemaRequest \| undefined, {} \| undefined ]>`	{Promise} - The promise which resolves to an array. The first element of the array is an object representing . Please see the documentation for more details and examples.

Example


  /**
   * 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 MetadataSchema to retrieve.
   *  Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}/metadataSchemas/{metadataschema}`
   */
  // const name = 'abc123'

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

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

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

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

  callGetMetadataSchema();

getMetadataSchema(request, options, callback)

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

Parameters
Name	Description
`request`	`IGetMetadataSchemaRequest`
`options`	`CallOptions`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.IMetadataSchema, protos.google.cloud.aiplatform.v1.IGetMetadataSchemaRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

getMetadataSchema(request, callback)

getMetadataSchema(request: protos.google.cloud.aiplatform.v1.IGetMetadataSchemaRequest, callback: Callback<protos.google.cloud.aiplatform.v1.IMetadataSchema, protos.google.cloud.aiplatform.v1.IGetMetadataSchemaRequest | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`IGetMetadataSchemaRequest`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.IMetadataSchema, protos.google.cloud.aiplatform.v1.IGetMetadataSchemaRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

getMetadataStore(request, options)

getMetadataStore(request?: protos.google.cloud.aiplatform.v1.IGetMetadataStoreRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.IMetadataStore,
        protos.google.cloud.aiplatform.v1.IGetMetadataStoreRequest | undefined,
        {} | undefined
    ]>;

Retrieves a specific MetadataStore.

Parameters
Name	Description
`request`	`IGetMetadataStoreRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Promise<[ protos.google.cloud.aiplatform.v1.IMetadataStore, protos.google.cloud.aiplatform.v1.IGetMetadataStoreRequest \| undefined, {} \| undefined ]>`	{Promise} - The promise which resolves to an array. The first element of the array is an object representing . Please see the documentation for more details and examples.

Example


  /**
   * 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 MetadataStore to retrieve.
   *  Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
   */
  // const name = 'abc123'

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

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

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

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

  callGetMetadataStore();

getMetadataStore(request, options, callback)

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

Parameters
Name	Description
`request`	`IGetMetadataStoreRequest`
`options`	`CallOptions`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.IMetadataStore, protos.google.cloud.aiplatform.v1.IGetMetadataStoreRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

getMetadataStore(request, callback)

getMetadataStore(request: protos.google.cloud.aiplatform.v1.IGetMetadataStoreRequest, callback: Callback<protos.google.cloud.aiplatform.v1.IMetadataStore, protos.google.cloud.aiplatform.v1.IGetMetadataStoreRequest | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`IGetMetadataStoreRequest`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.IMetadataStore, protos.google.cloud.aiplatform.v1.IGetMetadataStoreRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

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]>;

Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.

Parameters
Name	Description
`request`	`GetOperationRequest` The request object that will be sent.
`options`	`CallOptions \| Callback<protos.google.longrunning.Operation, protos.google.longrunning.GetOperationRequest, {} \| null \| undefined>` Optional parameters. You can override the default settings for this call, e.g, timeout, retries, paginations, etc. See gax.CallOptions for the details.
`callback`	`Callback<protos.google.longrunning.Operation, protos.google.longrunning.GetOperationRequest, {} \| null \| undefined>` The function which will be called with the result of the API call. The second parameter to the callback is an object representing . {Promise} - The promise which resolves to an array. The first element of the array is an object representing . The promise has a method named "cancel" which cancels the ongoing API call.

Returns
Type	Description
`Promise<[protos.google.longrunning.Operation]>`

Example


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

getProjectId()

getProjectId(): Promise<string>;

Returns
Type	Description
`Promise<string>`

getProjectId(callback)

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

Parameter
Name	Description
`callback`	`Callback<string, undefined, undefined>`

Returns
Type	Description
`void`

hyperparameterTuningJobPath(project, location, hyperparameterTuningJob)

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

Return a fully-qualified hyperparameterTuningJob resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`hyperparameterTuningJob`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

indexEndpointPath(project, location, indexEndpoint)

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

Return a fully-qualified indexEndpoint resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`indexEndpoint`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

indexPath(project, location, index)

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

Return a fully-qualified index resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`index`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

initialize()

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

Initialize the client. Performs asynchronous operations (such as authentication) and prepares the client. This function will be called automatically when any class method is called for the first time, but if you need to initialize it before calling an actual method, feel free to call initialize() directly.

You can await on this method if you want to make sure the client is initialized.

Returns
Type	Description
`Promise<{ [name: string]: Function; }>`	{Promise} A promise that resolves to an authenticated service stub.

listArtifacts(request, options)

listArtifacts(request?: protos.google.cloud.aiplatform.v1.IListArtifactsRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.IArtifact[],
        protos.google.cloud.aiplatform.v1.IListArtifactsRequest | null,
        protos.google.cloud.aiplatform.v1.IListArtifactsResponse
    ]>;

Lists Artifacts in the MetadataStore.

Parameters
Name	Description
`request`	`IListArtifactsRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns

Type Description

Promise<[
        protos.google.cloud.aiplatform.v1.IArtifact[],
        protos.google.cloud.aiplatform.v1.IListArtifactsRequest | null,
        protos.google.cloud.aiplatform.v1.IListArtifactsResponse
    ]>

{Promise} - The promise which resolves to an array. The first element of the array is Array of . The client library will perform auto-pagination by default: it will call the API as many times as needed and will merge results from all the pages into this array. Note that it can affect your quota. We recommend using listArtifactsAsync() method described below for async iteration which you can stop as needed. Please see the documentation for more details and examples.

listArtifacts(request, options, callback)

listArtifacts(request: protos.google.cloud.aiplatform.v1.IListArtifactsRequest, options: CallOptions, callback: PaginationCallback<protos.google.cloud.aiplatform.v1.IListArtifactsRequest, protos.google.cloud.aiplatform.v1.IListArtifactsResponse | null | undefined, protos.google.cloud.aiplatform.v1.IArtifact>): void;

Parameters
Name	Description
`request`	`IListArtifactsRequest`
`options`	`CallOptions`
`callback`	`PaginationCallback<protos.google.cloud.aiplatform.v1.IListArtifactsRequest, protos.google.cloud.aiplatform.v1.IListArtifactsResponse \| null \| undefined, protos.google.cloud.aiplatform.v1.IArtifact>`

Returns
Type	Description
`void`

listArtifacts(request, callback)

listArtifacts(request: protos.google.cloud.aiplatform.v1.IListArtifactsRequest, callback: PaginationCallback<protos.google.cloud.aiplatform.v1.IListArtifactsRequest, protos.google.cloud.aiplatform.v1.IListArtifactsResponse | null | undefined, protos.google.cloud.aiplatform.v1.IArtifact>): void;

Parameters
Name	Description
`request`	`IListArtifactsRequest`
`callback`	`PaginationCallback<protos.google.cloud.aiplatform.v1.IListArtifactsRequest, protos.google.cloud.aiplatform.v1.IListArtifactsResponse \| null \| undefined, protos.google.cloud.aiplatform.v1.IArtifact>`

Returns
Type	Description
`void`

listArtifactsAsync(request, options)

listArtifactsAsync(request?: protos.google.cloud.aiplatform.v1.IListArtifactsRequest, options?: CallOptions): AsyncIterable<protos.google.cloud.aiplatform.v1.IArtifact>;

Equivalent to listArtifacts, but returns an iterable object.

for-await-of syntax is used with the iterable to get response elements on-demand.

Parameters
Name	Description
`request`	`IListArtifactsRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`AsyncIterable<protos.google.cloud.aiplatform.v1.IArtifact>`	{Object} An iterable Object that allows async iteration. When you iterate the returned iterable, each element will be an object representing . The API will be called under the hood as needed, once per the page, so you can stop the iteration when you don't need more results. Please see the documentation for more details and examples.

Example


  /**
   * 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 MetadataStore whose Artifacts should be listed.
   *  Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
   */
  // const parent = 'abc123'
  /**
   *  The maximum number of Artifacts to return. The service may return fewer.
   *  Must be in range 1-1000, inclusive. Defaults to 100.
   */
  // const pageSize = 1234
  /**
   *  A page token, received from a previous
   *  MetadataService.ListArtifacts google.cloud.aiplatform.v1.MetadataService.ListArtifacts 
   *  call. Provide this to retrieve the subsequent page.
   *  When paginating, all other provided parameters must match the call that
   *  provided the page token. (Otherwise the request will fail with
   *  INVALID_ARGUMENT error.)
   */
  // const pageToken = 'abc123'
  /**
   *  Filter specifying the boolean condition for the Artifacts to satisfy in
   *  order to be part of the result set.
   *  The syntax to define filter query is based on https://google.aip.dev/160.
   *  The supported set of filters include the following:
   *  *   **Attribute filtering**:
   *      For example: `display_name = "test"`.
   *      Supported fields include: `name`, `display_name`, `uri`, `state`,
   *      `schema_title`, `create_time`, and `update_time`.
   *      Time fields, such as `create_time` and `update_time`, require values
   *      specified in RFC-3339 format.
   *      For example: `create_time = "2020-11-19T11:30:00-04:00"`
   *  *   **Metadata field**:
   *      To filter on metadata fields use traversal operation as follows:
   *      `metadata.

listArtifactsStream(request, options)

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

Equivalent to method.name.toCamelCase(), but returns a NodeJS Stream object.

Parameters
Name	Description
`request`	`IListArtifactsRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Transform`	{Stream} An object stream which emits an object representing on 'data' event. The client library will perform auto-pagination by default: it will call the API as many times as needed. Note that it can affect your quota. We recommend using `listArtifactsAsync()` method described below for async iteration which you can stop as needed. Please see the documentation for more details and examples.

listContexts(request, options)

listContexts(request?: protos.google.cloud.aiplatform.v1.IListContextsRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.IContext[],
        protos.google.cloud.aiplatform.v1.IListContextsRequest | null,
        protos.google.cloud.aiplatform.v1.IListContextsResponse
    ]>;

Lists Contexts on the MetadataStore.

Parameters
Name	Description
`request`	`IListContextsRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns

Type Description

Promise<[
        protos.google.cloud.aiplatform.v1.IContext[],
        protos.google.cloud.aiplatform.v1.IListContextsRequest | null,
        protos.google.cloud.aiplatform.v1.IListContextsResponse
    ]>

{Promise} - The promise which resolves to an array. The first element of the array is Array of Context. The client library will perform auto-pagination by default: it will call the API as many times as needed and will merge results from all the pages into this array. Note that it can affect your quota. We recommend using listContextsAsync() method described below for async iteration which you can stop as needed. Please see the documentation for more details and examples.

listContexts(request, options, callback)

listContexts(request: protos.google.cloud.aiplatform.v1.IListContextsRequest, options: CallOptions, callback: PaginationCallback<protos.google.cloud.aiplatform.v1.IListContextsRequest, protos.google.cloud.aiplatform.v1.IListContextsResponse | null | undefined, protos.google.cloud.aiplatform.v1.IContext>): void;

Parameters
Name	Description
`request`	`IListContextsRequest`
`options`	`CallOptions`
`callback`	`PaginationCallback<protos.google.cloud.aiplatform.v1.IListContextsRequest, protos.google.cloud.aiplatform.v1.IListContextsResponse \| null \| undefined, protos.google.cloud.aiplatform.v1.IContext>`

Returns
Type	Description
`void`

listContexts(request, callback)

listContexts(request: protos.google.cloud.aiplatform.v1.IListContextsRequest, callback: PaginationCallback<protos.google.cloud.aiplatform.v1.IListContextsRequest, protos.google.cloud.aiplatform.v1.IListContextsResponse | null | undefined, protos.google.cloud.aiplatform.v1.IContext>): void;

Parameters
Name	Description
`request`	`IListContextsRequest`
`callback`	`PaginationCallback<protos.google.cloud.aiplatform.v1.IListContextsRequest, protos.google.cloud.aiplatform.v1.IListContextsResponse \| null \| undefined, protos.google.cloud.aiplatform.v1.IContext>`

Returns
Type	Description
`void`

listContextsAsync(request, options)

listContextsAsync(request?: protos.google.cloud.aiplatform.v1.IListContextsRequest, options?: CallOptions): AsyncIterable<protos.google.cloud.aiplatform.v1.IContext>;

Equivalent to listContexts, but returns an iterable object.

for-await-of syntax is used with the iterable to get response elements on-demand.

Parameters
Name	Description
`request`	`IListContextsRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`AsyncIterable<protos.google.cloud.aiplatform.v1.IContext>`	{Object} An iterable Object that allows async iteration. When you iterate the returned iterable, each element will be an object representing Context. The API will be called under the hood as needed, once per the page, so you can stop the iteration when you don't need more results. Please see the documentation for more details and examples.

Example


  /**
   * 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 MetadataStore whose Contexts should be listed.
   *  Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
   */
  // const parent = 'abc123'
  /**
   *  The maximum number of Contexts to return. The service may return fewer.
   *  Must be in range 1-1000, inclusive. Defaults to 100.
   */
  // const pageSize = 1234
  /**
   *  A page token, received from a previous
   *  MetadataService.ListContexts google.cloud.aiplatform.v1.MetadataService.ListContexts 
   *  call. Provide this to retrieve the subsequent page.
   *  When paginating, all other provided parameters must match the call that
   *  provided the page token. (Otherwise the request will fail with
   *  INVALID_ARGUMENT error.)
   */
  // const pageToken = 'abc123'
  /**
   *  Filter specifying the boolean condition for the Contexts to satisfy in
   *  order to be part of the result set.
   *  The syntax to define filter query is based on https://google.aip.dev/160.
   *  Following are the supported set of filters:
   *  *  **Attribute filtering**:
   *     For example: `display_name = "test"`.
   *     Supported fields include: `name`, `display_name`, `schema_title`,
   *     `create_time`, and `update_time`.
   *     Time fields, such as `create_time` and `update_time`, require values
   *     specified in RFC-3339 format.
   *     For example: `create_time = "2020-11-19T11:30:00-04:00"`.
   *  *  **Metadata field**:
   *     To filter on metadata fields use traversal operation as follows:
   *     `metadata.

listContextsStream(request, options)

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

Equivalent to method.name.toCamelCase(), but returns a NodeJS Stream object.

Parameters
Name	Description
`request`	`IListContextsRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns

Type Description

Transform

{Stream} An object stream which emits an object representing Context on 'data' event. The client library will perform auto-pagination by default: it will call the API as many times as needed. Note that it can affect your quota. We recommend using listContextsAsync() method described below for async iteration which you can stop as needed. Please see the documentation for more details and examples.

listExecutions(request, options)

listExecutions(request?: protos.google.cloud.aiplatform.v1.IListExecutionsRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.IExecution[],
        protos.google.cloud.aiplatform.v1.IListExecutionsRequest | null,
        protos.google.cloud.aiplatform.v1.IListExecutionsResponse
    ]>;

Lists Executions in the MetadataStore.

Parameters
Name	Description
`request`	`IListExecutionsRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns

Type Description

Promise<[
        protos.google.cloud.aiplatform.v1.IExecution[],
        protos.google.cloud.aiplatform.v1.IListExecutionsRequest | null,
        protos.google.cloud.aiplatform.v1.IListExecutionsResponse
    ]>

{Promise} - The promise which resolves to an array. The first element of the array is Array of . The client library will perform auto-pagination by default: it will call the API as many times as needed and will merge results from all the pages into this array. Note that it can affect your quota. We recommend using listExecutionsAsync() method described below for async iteration which you can stop as needed. Please see the documentation for more details and examples.

listExecutions(request, options, callback)

listExecutions(request: protos.google.cloud.aiplatform.v1.IListExecutionsRequest, options: CallOptions, callback: PaginationCallback<protos.google.cloud.aiplatform.v1.IListExecutionsRequest, protos.google.cloud.aiplatform.v1.IListExecutionsResponse | null | undefined, protos.google.cloud.aiplatform.v1.IExecution>): void;

Parameters
Name	Description
`request`	`IListExecutionsRequest`
`options`	`CallOptions`
`callback`	`PaginationCallback<protos.google.cloud.aiplatform.v1.IListExecutionsRequest, protos.google.cloud.aiplatform.v1.IListExecutionsResponse \| null \| undefined, protos.google.cloud.aiplatform.v1.IExecution>`

Returns
Type	Description
`void`

listExecutions(request, callback)

listExecutions(request: protos.google.cloud.aiplatform.v1.IListExecutionsRequest, callback: PaginationCallback<protos.google.cloud.aiplatform.v1.IListExecutionsRequest, protos.google.cloud.aiplatform.v1.IListExecutionsResponse | null | undefined, protos.google.cloud.aiplatform.v1.IExecution>): void;

Parameters
Name	Description
`request`	`IListExecutionsRequest`
`callback`	`PaginationCallback<protos.google.cloud.aiplatform.v1.IListExecutionsRequest, protos.google.cloud.aiplatform.v1.IListExecutionsResponse \| null \| undefined, protos.google.cloud.aiplatform.v1.IExecution>`

Returns
Type	Description
`void`

listExecutionsAsync(request, options)

listExecutionsAsync(request?: protos.google.cloud.aiplatform.v1.IListExecutionsRequest, options?: CallOptions): AsyncIterable<protos.google.cloud.aiplatform.v1.IExecution>;

Equivalent to listExecutions, but returns an iterable object.

for-await-of syntax is used with the iterable to get response elements on-demand.

Parameters
Name	Description
`request`	`IListExecutionsRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`AsyncIterable<protos.google.cloud.aiplatform.v1.IExecution>`	{Object} An iterable Object that allows async iteration. When you iterate the returned iterable, each element will be an object representing . The API will be called under the hood as needed, once per the page, so you can stop the iteration when you don't need more results. Please see the documentation for more details and examples.

Example


  /**
   * 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 MetadataStore whose Executions should be listed.
   *  Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
   */
  // const parent = 'abc123'
  /**
   *  The maximum number of Executions to return. The service may return fewer.
   *  Must be in range 1-1000, inclusive. Defaults to 100.
   */
  // const pageSize = 1234
  /**
   *  A page token, received from a previous
   *  MetadataService.ListExecutions google.cloud.aiplatform.v1.MetadataService.ListExecutions 
   *  call. Provide this to retrieve the subsequent page.
   *  When paginating, all other provided parameters must match the call that
   *  provided the page token. (Otherwise the request will fail with an
   *  INVALID_ARGUMENT error.)
   */
  // const pageToken = 'abc123'
  /**
   *  Filter specifying the boolean condition for the Executions to satisfy in
   *  order to be part of the result set.
   *  The syntax to define filter query is based on https://google.aip.dev/160.
   *  Following are the supported set of filters:
   *  *  **Attribute filtering**:
   *     For example: `display_name = "test"`.
   *     Supported fields include: `name`, `display_name`, `state`,
   *     `schema_title`, `create_time`, and `update_time`.
   *     Time fields, such as `create_time` and `update_time`, require values
   *     specified in RFC-3339 format.
   *     For example: `create_time = "2020-11-19T11:30:00-04:00"`.
   *  *  **Metadata field**:
   *     To filter on metadata fields use traversal operation as follows:
   *     `metadata.

listExecutionsStream(request, options)

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

Equivalent to method.name.toCamelCase(), but returns a NodeJS Stream object.

Parameters
Name	Description
`request`	`IListExecutionsRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Transform`	{Stream} An object stream which emits an object representing on 'data' event. The client library will perform auto-pagination by default: it will call the API as many times as needed. Note that it can affect your quota. We recommend using `listExecutionsAsync()` method described below for async iteration which you can stop as needed. Please see the documentation for more details and examples.

listLocationsAsync(request, options)

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

Lists information about the supported locations for this service. Returns an iterable object.

for-await-of syntax is used with the iterable to get response elements on-demand.

Parameters
Name	Description
`request`	`LocationProtos.google.cloud.location.IListLocationsRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`AsyncIterable<google.cloud.location.ILocation>`	{Object} An iterable Object that allows async iteration. When you iterate the returned iterable, each element will be an object representing . The API will be called under the hood as needed, once per the page, so you can stop the iteration when you don't need more results. Please see the documentation for more details and examples.

Example


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

listMetadataSchemas(request, options)

listMetadataSchemas(request?: protos.google.cloud.aiplatform.v1.IListMetadataSchemasRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.IMetadataSchema[],
        protos.google.cloud.aiplatform.v1.IListMetadataSchemasRequest | null,
        protos.google.cloud.aiplatform.v1.IListMetadataSchemasResponse
    ]>;

Lists MetadataSchemas.

Parameters
Name	Description
`request`	`IListMetadataSchemasRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns

Type Description

Promise<[
        protos.google.cloud.aiplatform.v1.IMetadataSchema[],
        protos.google.cloud.aiplatform.v1.IListMetadataSchemasRequest | null,
        protos.google.cloud.aiplatform.v1.IListMetadataSchemasResponse
    ]>

{Promise} - The promise which resolves to an array. The first element of the array is Array of . The client library will perform auto-pagination by default: it will call the API as many times as needed and will merge results from all the pages into this array. Note that it can affect your quota. We recommend using listMetadataSchemasAsync() method described below for async iteration which you can stop as needed. Please see the documentation for more details and examples.

listMetadataSchemas(request, options, callback)

listMetadataSchemas(request: protos.google.cloud.aiplatform.v1.IListMetadataSchemasRequest, options: CallOptions, callback: PaginationCallback<protos.google.cloud.aiplatform.v1.IListMetadataSchemasRequest, protos.google.cloud.aiplatform.v1.IListMetadataSchemasResponse | null | undefined, protos.google.cloud.aiplatform.v1.IMetadataSchema>): void;

Parameters
Name	Description
`request`	`IListMetadataSchemasRequest`
`options`	`CallOptions`
`callback`	`PaginationCallback<protos.google.cloud.aiplatform.v1.IListMetadataSchemasRequest, protos.google.cloud.aiplatform.v1.IListMetadataSchemasResponse \| null \| undefined, protos.google.cloud.aiplatform.v1.IMetadataSchema>`

Returns
Type	Description
`void`

listMetadataSchemas(request, callback)

listMetadataSchemas(request: protos.google.cloud.aiplatform.v1.IListMetadataSchemasRequest, callback: PaginationCallback<protos.google.cloud.aiplatform.v1.IListMetadataSchemasRequest, protos.google.cloud.aiplatform.v1.IListMetadataSchemasResponse | null | undefined, protos.google.cloud.aiplatform.v1.IMetadataSchema>): void;

Parameters
Name	Description
`request`	`IListMetadataSchemasRequest`
`callback`	`PaginationCallback<protos.google.cloud.aiplatform.v1.IListMetadataSchemasRequest, protos.google.cloud.aiplatform.v1.IListMetadataSchemasResponse \| null \| undefined, protos.google.cloud.aiplatform.v1.IMetadataSchema>`

Returns
Type	Description
`void`

listMetadataSchemasAsync(request, options)

listMetadataSchemasAsync(request?: protos.google.cloud.aiplatform.v1.IListMetadataSchemasRequest, options?: CallOptions): AsyncIterable<protos.google.cloud.aiplatform.v1.IMetadataSchema>;

Equivalent to listMetadataSchemas, but returns an iterable object.

for-await-of syntax is used with the iterable to get response elements on-demand.

Parameters
Name	Description
`request`	`IListMetadataSchemasRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`AsyncIterable<protos.google.cloud.aiplatform.v1.IMetadataSchema>`	{Object} An iterable Object that allows async iteration. When you iterate the returned iterable, each element will be an object representing . The API will be called under the hood as needed, once per the page, so you can stop the iteration when you don't need more results. Please see the documentation for more details and examples.

Example


  /**
   * 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 MetadataStore whose MetadataSchemas should be listed.
   *  Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
   */
  // const parent = 'abc123'
  /**
   *  The maximum number of MetadataSchemas to return. The service may return
   *  fewer.
   *  Must be in range 1-1000, inclusive. Defaults to 100.
   */
  // const pageSize = 1234
  /**
   *  A page token, received from a previous
   *  MetadataService.ListMetadataSchemas google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas 
   *  call. Provide this to retrieve the next page.
   *  When paginating, all other provided parameters must match the call that
   *  provided the page token. (Otherwise the request will fail with
   *  INVALID_ARGUMENT error.)
   */
  // const pageToken = 'abc123'
  /**
   *  A query to filter available MetadataSchemas for matching results.
   */
  // const filter = 'abc123'

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

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

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

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

  callListMetadataSchemas();

listMetadataSchemasStream(request, options)

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

Equivalent to method.name.toCamelCase(), but returns a NodeJS Stream object.

Parameters
Name	Description
`request`	`IListMetadataSchemasRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns

Type Description

Transform

{Stream} An object stream which emits an object representing on 'data' event. The client library will perform auto-pagination by default: it will call the API as many times as needed. Note that it can affect your quota. We recommend using listMetadataSchemasAsync() method described below for async iteration which you can stop as needed. Please see the documentation for more details and examples.

listMetadataStores(request, options)

listMetadataStores(request?: protos.google.cloud.aiplatform.v1.IListMetadataStoresRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.IMetadataStore[],
        protos.google.cloud.aiplatform.v1.IListMetadataStoresRequest | null,
        protos.google.cloud.aiplatform.v1.IListMetadataStoresResponse
    ]>;

Lists MetadataStores for a Location.

Parameters
Name	Description
`request`	`IListMetadataStoresRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns

Type Description

Promise<[
        protos.google.cloud.aiplatform.v1.IMetadataStore[],
        protos.google.cloud.aiplatform.v1.IListMetadataStoresRequest | null,
        protos.google.cloud.aiplatform.v1.IListMetadataStoresResponse
    ]>

{Promise} - The promise which resolves to an array. The first element of the array is Array of . The client library will perform auto-pagination by default: it will call the API as many times as needed and will merge results from all the pages into this array. Note that it can affect your quota. We recommend using listMetadataStoresAsync() method described below for async iteration which you can stop as needed. Please see the documentation for more details and examples.

listMetadataStores(request, options, callback)

listMetadataStores(request: protos.google.cloud.aiplatform.v1.IListMetadataStoresRequest, options: CallOptions, callback: PaginationCallback<protos.google.cloud.aiplatform.v1.IListMetadataStoresRequest, protos.google.cloud.aiplatform.v1.IListMetadataStoresResponse | null | undefined, protos.google.cloud.aiplatform.v1.IMetadataStore>): void;

Parameters
Name	Description
`request`	`IListMetadataStoresRequest`
`options`	`CallOptions`
`callback`	`PaginationCallback<protos.google.cloud.aiplatform.v1.IListMetadataStoresRequest, protos.google.cloud.aiplatform.v1.IListMetadataStoresResponse \| null \| undefined, protos.google.cloud.aiplatform.v1.IMetadataStore>`

Returns
Type	Description
`void`

listMetadataStores(request, callback)

listMetadataStores(request: protos.google.cloud.aiplatform.v1.IListMetadataStoresRequest, callback: PaginationCallback<protos.google.cloud.aiplatform.v1.IListMetadataStoresRequest, protos.google.cloud.aiplatform.v1.IListMetadataStoresResponse | null | undefined, protos.google.cloud.aiplatform.v1.IMetadataStore>): void;

Parameters
Name	Description
`request`	`IListMetadataStoresRequest`
`callback`	`PaginationCallback<protos.google.cloud.aiplatform.v1.IListMetadataStoresRequest, protos.google.cloud.aiplatform.v1.IListMetadataStoresResponse \| null \| undefined, protos.google.cloud.aiplatform.v1.IMetadataStore>`

Returns
Type	Description
`void`

listMetadataStoresAsync(request, options)

listMetadataStoresAsync(request?: protos.google.cloud.aiplatform.v1.IListMetadataStoresRequest, options?: CallOptions): AsyncIterable<protos.google.cloud.aiplatform.v1.IMetadataStore>;

Equivalent to listMetadataStores, but returns an iterable object.

for-await-of syntax is used with the iterable to get response elements on-demand.

Parameters
Name	Description
`request`	`IListMetadataStoresRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`AsyncIterable<protos.google.cloud.aiplatform.v1.IMetadataStore>`	{Object} An iterable Object that allows async iteration. When you iterate the returned iterable, each element will be an object representing . The API will be called under the hood as needed, once per the page, so you can stop the iteration when you don't need more results. Please see the documentation for more details and examples.

Example


  /**
   * 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 Location whose MetadataStores should be listed.
   *  Format:
   *  `projects/{project}/locations/{location}`
   */
  // const parent = 'abc123'
  /**
   *  The maximum number of Metadata Stores to return. The service may return
   *  fewer.
   *  Must be in range 1-1000, inclusive. Defaults to 100.
   */
  // const pageSize = 1234
  /**
   *  A page token, received from a previous
   *  MetadataService.ListMetadataStores google.cloud.aiplatform.v1.MetadataService.ListMetadataStores 
   *  call. Provide this to retrieve the subsequent page.
   *  When paginating, all other provided parameters must match the call that
   *  provided the page token. (Otherwise the request will fail with
   *  INVALID_ARGUMENT error.)
   */
  // const pageToken = 'abc123'

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

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

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

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

  callListMetadataStores();

listMetadataStoresStream(request, options)

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

Equivalent to method.name.toCamelCase(), but returns a NodeJS Stream object.

Parameters
Name	Description
`request`	`IListMetadataStoresRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Transform`	{Stream} An object stream which emits an object representing on 'data' event. The client library will perform auto-pagination by default: it will call the API as many times as needed. Note that it can affect your quota. We recommend using `listMetadataStoresAsync()` method described below for async iteration which you can stop as needed. Please see the documentation for more details and examples.

listOperationsAsync(request, options)

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

Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns UNIMPLEMENTED. Returns an iterable object.

For-await-of syntax is used with the iterable to recursively get response element on-demand.

Parameters
Name	Description
`request`	`ListOperationsRequest` The request object that will be sent.
`options`	`CallOptions` Optional parameters. You can override the default settings for this call, e.g, timeout, retries, paginations, etc. See gax.CallOptions for the details.

Returns
Type	Description
`AsyncIterable<protos.google.longrunning.ListOperationsResponse>`	{Object} An iterable Object that conforms to iteration protocols.

Example


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

locationPath(project, location)

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

Return a fully-qualified location resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

matchAnnotationFromAnnotationName(annotationName)

matchAnnotationFromAnnotationName(annotationName: string): string | number;

Parse the annotation from Annotation resource.

Parameter
Name	Description
`annotationName`	`string` A fully-qualified path representing Annotation resource.

Returns
Type	Description
`string \| number`	{string} A string representing the annotation.

matchAnnotationSpecFromAnnotationSpecName(annotationSpecName)

matchAnnotationSpecFromAnnotationSpecName(annotationSpecName: string): string | number;

Parse the annotation_spec from AnnotationSpec resource.

Parameter
Name	Description
`annotationSpecName`	`string` A fully-qualified path representing AnnotationSpec resource.

Returns
Type	Description
`string \| number`	{string} A string representing the annotation_spec.

matchArtifactFromArtifactName(artifactName)

matchArtifactFromArtifactName(artifactName: string): string | number;

Parse the artifact from Artifact resource.

Parameter
Name	Description
`artifactName`	`string` A fully-qualified path representing Artifact resource.

Returns
Type	Description
`string \| number`	{string} A string representing the artifact.

matchBatchPredictionJobFromBatchPredictionJobName(batchPredictionJobName)

matchBatchPredictionJobFromBatchPredictionJobName(batchPredictionJobName: string): string | number;

Parse the batch_prediction_job from BatchPredictionJob resource.

Parameter
Name	Description
`batchPredictionJobName`	`string` A fully-qualified path representing BatchPredictionJob resource.

Returns
Type	Description
`string \| number`	{string} A string representing the batch_prediction_job.

matchContextFromContextName(contextName)

matchContextFromContextName(contextName: string): string | number;

Parse the context from Context resource.

Parameter
Name	Description
`contextName`	`string` A fully-qualified path representing Context resource.

Returns
Type	Description
`string \| number`	{string} A string representing the context.

matchCustomJobFromCustomJobName(customJobName)

matchCustomJobFromCustomJobName(customJobName: string): string | number;

Parse the custom_job from CustomJob resource.

Parameter
Name	Description
`customJobName`	`string` A fully-qualified path representing CustomJob resource.

Returns
Type	Description
`string \| number`	{string} A string representing the custom_job.

matchDataItemFromAnnotationName(annotationName)

matchDataItemFromAnnotationName(annotationName: string): string | number;

Parse the data_item from Annotation resource.

Parameter
Name	Description
`annotationName`	`string` A fully-qualified path representing Annotation resource.

Returns
Type	Description
`string \| number`	{string} A string representing the data_item.

matchDataItemFromDataItemName(dataItemName)

matchDataItemFromDataItemName(dataItemName: string): string | number;

Parse the data_item from DataItem resource.

Parameter
Name	Description
`dataItemName`	`string` A fully-qualified path representing DataItem resource.

Returns
Type	Description
`string \| number`	{string} A string representing the data_item.

matchDataLabelingJobFromDataLabelingJobName(dataLabelingJobName)

matchDataLabelingJobFromDataLabelingJobName(dataLabelingJobName: string): string | number;

Parse the data_labeling_job from DataLabelingJob resource.

Parameter
Name	Description
`dataLabelingJobName`	`string` A fully-qualified path representing DataLabelingJob resource.

Returns
Type	Description
`string \| number`	{string} A string representing the data_labeling_job.

matchDatasetFromAnnotationName(annotationName)

matchDatasetFromAnnotationName(annotationName: string): string | number;

Parse the dataset from Annotation resource.

Parameter
Name	Description
`annotationName`	`string` A fully-qualified path representing Annotation resource.

Returns
Type	Description
`string \| number`	{string} A string representing the dataset.

matchDatasetFromAnnotationSpecName(annotationSpecName)

matchDatasetFromAnnotationSpecName(annotationSpecName: string): string | number;

Parse the dataset from AnnotationSpec resource.

Parameter
Name	Description
`annotationSpecName`	`string` A fully-qualified path representing AnnotationSpec resource.

Returns
Type	Description
`string \| number`	{string} A string representing the dataset.

matchDatasetFromDataItemName(dataItemName)

matchDatasetFromDataItemName(dataItemName: string): string | number;

Parse the dataset from DataItem resource.

Parameter
Name	Description
`dataItemName`	`string` A fully-qualified path representing DataItem resource.

Returns
Type	Description
`string \| number`	{string} A string representing the dataset.

matchDatasetFromDatasetName(datasetName)

matchDatasetFromDatasetName(datasetName: string): string | number;

Parse the dataset from Dataset resource.

Parameter
Name	Description
`datasetName`	`string` A fully-qualified path representing Dataset resource.

Returns
Type	Description
`string \| number`	{string} A string representing the dataset.

matchDatasetFromSavedQueryName(savedQueryName)

matchDatasetFromSavedQueryName(savedQueryName: string): string | number;

Parse the dataset from SavedQuery resource.

Parameter
Name	Description
`savedQueryName`	`string` A fully-qualified path representing SavedQuery resource.

Returns
Type	Description
`string \| number`	{string} A string representing the dataset.

matchEndpointFromProjectLocationEndpointName(projectLocationEndpointName)

matchEndpointFromProjectLocationEndpointName(projectLocationEndpointName: string): string | number;

Parse the endpoint from ProjectLocationEndpoint resource.

Parameter
Name	Description
`projectLocationEndpointName`	`string` A fully-qualified path representing project_location_endpoint resource.

Returns
Type	Description
`string \| number`	{string} A string representing the endpoint.

matchEntityTypeFromEntityTypeName(entityTypeName)

matchEntityTypeFromEntityTypeName(entityTypeName: string): string | number;

Parse the entity_type from EntityType resource.

Parameter
Name	Description
`entityTypeName`	`string` A fully-qualified path representing EntityType resource.

Returns
Type	Description
`string \| number`	{string} A string representing the entity_type.

matchEntityTypeFromFeatureName(featureName)

matchEntityTypeFromFeatureName(featureName: string): string | number;

Parse the entity_type from Feature resource.

Parameter
Name	Description
`featureName`	`string` A fully-qualified path representing Feature resource.

Returns
Type	Description
`string \| number`	{string} A string representing the entity_type.

matchEvaluationFromModelEvaluationName(modelEvaluationName)

matchEvaluationFromModelEvaluationName(modelEvaluationName: string): string | number;

Parse the evaluation from ModelEvaluation resource.

Parameter
Name	Description
`modelEvaluationName`	`string` A fully-qualified path representing ModelEvaluation resource.

Returns
Type	Description
`string \| number`	{string} A string representing the evaluation.

matchEvaluationFromModelEvaluationSliceName(modelEvaluationSliceName)

matchEvaluationFromModelEvaluationSliceName(modelEvaluationSliceName: string): string | number;

Parse the evaluation from ModelEvaluationSlice resource.

Parameter
Name	Description
`modelEvaluationSliceName`	`string` A fully-qualified path representing ModelEvaluationSlice resource.

Returns
Type	Description
`string \| number`	{string} A string representing the evaluation.

matchExecutionFromExecutionName(executionName)

matchExecutionFromExecutionName(executionName: string): string | number;

Parse the execution from Execution resource.

Parameter
Name	Description
`executionName`	`string` A fully-qualified path representing Execution resource.

Returns
Type	Description
`string \| number`	{string} A string representing the execution.

matchExperimentFromTensorboardExperimentName(tensorboardExperimentName)

matchExperimentFromTensorboardExperimentName(tensorboardExperimentName: string): string | number;

Parse the experiment from TensorboardExperiment resource.

Parameter
Name	Description
`tensorboardExperimentName`	`string` A fully-qualified path representing TensorboardExperiment resource.

Returns
Type	Description
`string \| number`	{string} A string representing the experiment.

matchExperimentFromTensorboardRunName(tensorboardRunName)

matchExperimentFromTensorboardRunName(tensorboardRunName: string): string | number;

Parse the experiment from TensorboardRun resource.

Parameter
Name	Description
`tensorboardRunName`	`string` A fully-qualified path representing TensorboardRun resource.

Returns
Type	Description
`string \| number`	{string} A string representing the experiment.

matchExperimentFromTensorboardTimeSeriesName(tensorboardTimeSeriesName)

matchExperimentFromTensorboardTimeSeriesName(tensorboardTimeSeriesName: string): string | number;

Parse the experiment from TensorboardTimeSeries resource.

Parameter
Name	Description
`tensorboardTimeSeriesName`	`string` A fully-qualified path representing TensorboardTimeSeries resource.

Returns
Type	Description
`string \| number`	{string} A string representing the experiment.

matchFeatureFromFeatureName(featureName)

matchFeatureFromFeatureName(featureName: string): string | number;

Parse the feature from Feature resource.

Parameter
Name	Description
`featureName`	`string` A fully-qualified path representing Feature resource.

Returns
Type	Description
`string \| number`	{string} A string representing the feature.

matchFeaturestoreFromEntityTypeName(entityTypeName)

matchFeaturestoreFromEntityTypeName(entityTypeName: string): string | number;

Parse the featurestore from EntityType resource.

Parameter
Name	Description
`entityTypeName`	`string` A fully-qualified path representing EntityType resource.

Returns
Type	Description
`string \| number`	{string} A string representing the featurestore.

matchFeaturestoreFromFeatureName(featureName)

matchFeaturestoreFromFeatureName(featureName: string): string | number;

Parse the featurestore from Feature resource.

Parameter
Name	Description
`featureName`	`string` A fully-qualified path representing Feature resource.

Returns
Type	Description
`string \| number`	{string} A string representing the featurestore.

matchFeaturestoreFromFeaturestoreName(featurestoreName)

matchFeaturestoreFromFeaturestoreName(featurestoreName: string): string | number;

Parse the featurestore from Featurestore resource.

Parameter
Name	Description
`featurestoreName`	`string` A fully-qualified path representing Featurestore resource.

Returns
Type	Description
`string \| number`	{string} A string representing the featurestore.

matchHyperparameterTuningJobFromHyperparameterTuningJobName(hyperparameterTuningJobName)

matchHyperparameterTuningJobFromHyperparameterTuningJobName(hyperparameterTuningJobName: string): string | number;

Parse the hyperparameter_tuning_job from HyperparameterTuningJob resource.

Parameter
Name	Description
`hyperparameterTuningJobName`	`string` A fully-qualified path representing HyperparameterTuningJob resource.

Returns
Type	Description
`string \| number`	{string} A string representing the hyperparameter_tuning_job.

matchIndexEndpointFromIndexEndpointName(indexEndpointName)

matchIndexEndpointFromIndexEndpointName(indexEndpointName: string): string | number;

Parse the index_endpoint from IndexEndpoint resource.

Parameter
Name	Description
`indexEndpointName`	`string` A fully-qualified path representing IndexEndpoint resource.

Returns
Type	Description
`string \| number`	{string} A string representing the index_endpoint.

matchIndexFromIndexName(indexName)

matchIndexFromIndexName(indexName: string): string | number;

Parse the index from Index resource.

Parameter
Name	Description
`indexName`	`string` A fully-qualified path representing Index resource.

Returns
Type	Description
`string \| number`	{string} A string representing the index.

matchLocationFromAnnotationName(annotationName)

matchLocationFromAnnotationName(annotationName: string): string | number;

Parse the location from Annotation resource.

Parameter
Name	Description
`annotationName`	`string` A fully-qualified path representing Annotation resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromAnnotationSpecName(annotationSpecName)

matchLocationFromAnnotationSpecName(annotationSpecName: string): string | number;

Parse the location from AnnotationSpec resource.

Parameter
Name	Description
`annotationSpecName`	`string` A fully-qualified path representing AnnotationSpec resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromArtifactName(artifactName)

matchLocationFromArtifactName(artifactName: string): string | number;

Parse the location from Artifact resource.

Parameter
Name	Description
`artifactName`	`string` A fully-qualified path representing Artifact resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromBatchPredictionJobName(batchPredictionJobName)

matchLocationFromBatchPredictionJobName(batchPredictionJobName: string): string | number;

Parse the location from BatchPredictionJob resource.

Parameter
Name	Description
`batchPredictionJobName`	`string` A fully-qualified path representing BatchPredictionJob resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromContextName(contextName)

matchLocationFromContextName(contextName: string): string | number;

Parse the location from Context resource.

Parameter
Name	Description
`contextName`	`string` A fully-qualified path representing Context resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromCustomJobName(customJobName)

matchLocationFromCustomJobName(customJobName: string): string | number;

Parse the location from CustomJob resource.

Parameter
Name	Description
`customJobName`	`string` A fully-qualified path representing CustomJob resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromDataItemName(dataItemName)

matchLocationFromDataItemName(dataItemName: string): string | number;

Parse the location from DataItem resource.

Parameter
Name	Description
`dataItemName`	`string` A fully-qualified path representing DataItem resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromDataLabelingJobName(dataLabelingJobName)

matchLocationFromDataLabelingJobName(dataLabelingJobName: string): string | number;

Parse the location from DataLabelingJob resource.

Parameter
Name	Description
`dataLabelingJobName`	`string` A fully-qualified path representing DataLabelingJob resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromDatasetName(datasetName)

matchLocationFromDatasetName(datasetName: string): string | number;

Parse the location from Dataset resource.

Parameter
Name	Description
`datasetName`	`string` A fully-qualified path representing Dataset resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromEntityTypeName(entityTypeName)

matchLocationFromEntityTypeName(entityTypeName: string): string | number;

Parse the location from EntityType resource.

Parameter
Name	Description
`entityTypeName`	`string` A fully-qualified path representing EntityType resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromExecutionName(executionName)

matchLocationFromExecutionName(executionName: string): string | number;

Parse the location from Execution resource.

Parameter
Name	Description
`executionName`	`string` A fully-qualified path representing Execution resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromFeatureName(featureName)

matchLocationFromFeatureName(featureName: string): string | number;

Parse the location from Feature resource.

Parameter
Name	Description
`featureName`	`string` A fully-qualified path representing Feature resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromFeaturestoreName(featurestoreName)

matchLocationFromFeaturestoreName(featurestoreName: string): string | number;

Parse the location from Featurestore resource.

Parameter
Name	Description
`featurestoreName`	`string` A fully-qualified path representing Featurestore resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromHyperparameterTuningJobName(hyperparameterTuningJobName)

matchLocationFromHyperparameterTuningJobName(hyperparameterTuningJobName: string): string | number;

Parse the location from HyperparameterTuningJob resource.

Parameter
Name	Description
`hyperparameterTuningJobName`	`string` A fully-qualified path representing HyperparameterTuningJob resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromIndexEndpointName(indexEndpointName)

matchLocationFromIndexEndpointName(indexEndpointName: string): string | number;

Parse the location from IndexEndpoint resource.

Parameter
Name	Description
`indexEndpointName`	`string` A fully-qualified path representing IndexEndpoint resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromIndexName(indexName)

matchLocationFromIndexName(indexName: string): string | number;

Parse the location from Index resource.

Parameter
Name	Description
`indexName`	`string` A fully-qualified path representing Index resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromLocationName(locationName)

matchLocationFromLocationName(locationName: string): string | number;

Parse the location from Location resource.

Parameter
Name	Description
`locationName`	`string` A fully-qualified path representing Location resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromMetadataSchemaName(metadataSchemaName)

matchLocationFromMetadataSchemaName(metadataSchemaName: string): string | number;

Parse the location from MetadataSchema resource.

Parameter
Name	Description
`metadataSchemaName`	`string` A fully-qualified path representing MetadataSchema resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromMetadataStoreName(metadataStoreName)

matchLocationFromMetadataStoreName(metadataStoreName: string): string | number;

Parse the location from MetadataStore resource.

Parameter
Name	Description
`metadataStoreName`	`string` A fully-qualified path representing MetadataStore resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromModelDeploymentMonitoringJobName(modelDeploymentMonitoringJobName)

matchLocationFromModelDeploymentMonitoringJobName(modelDeploymentMonitoringJobName: string): string | number;

Parse the location from ModelDeploymentMonitoringJob resource.

Parameter
Name	Description
`modelDeploymentMonitoringJobName`	`string` A fully-qualified path representing ModelDeploymentMonitoringJob resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromModelEvaluationName(modelEvaluationName)

matchLocationFromModelEvaluationName(modelEvaluationName: string): string | number;

Parse the location from ModelEvaluation resource.

Parameter
Name	Description
`modelEvaluationName`	`string` A fully-qualified path representing ModelEvaluation resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromModelEvaluationSliceName(modelEvaluationSliceName)

matchLocationFromModelEvaluationSliceName(modelEvaluationSliceName: string): string | number;

Parse the location from ModelEvaluationSlice resource.

Parameter
Name	Description
`modelEvaluationSliceName`	`string` A fully-qualified path representing ModelEvaluationSlice resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromModelName(modelName)

matchLocationFromModelName(modelName: string): string | number;

Parse the location from Model resource.

Parameter
Name	Description
`modelName`	`string` A fully-qualified path representing Model resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromNasJobName(nasJobName)

matchLocationFromNasJobName(nasJobName: string): string | number;

Parse the location from NasJob resource.

Parameter
Name	Description
`nasJobName`	`string` A fully-qualified path representing NasJob resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromNasTrialDetailName(nasTrialDetailName)

matchLocationFromNasTrialDetailName(nasTrialDetailName: string): string | number;

Parse the location from NasTrialDetail resource.

Parameter
Name	Description
`nasTrialDetailName`	`string` A fully-qualified path representing NasTrialDetail resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromPipelineJobName(pipelineJobName)

matchLocationFromPipelineJobName(pipelineJobName: string): string | number;

Parse the location from PipelineJob resource.

Parameter
Name	Description
`pipelineJobName`	`string` A fully-qualified path representing PipelineJob resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromProjectLocationEndpointName(projectLocationEndpointName)

matchLocationFromProjectLocationEndpointName(projectLocationEndpointName: string): string | number;

Parse the location from ProjectLocationEndpoint resource.

Parameter
Name	Description
`projectLocationEndpointName`	`string` A fully-qualified path representing project_location_endpoint resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromProjectLocationPublisherModelName(projectLocationPublisherModelName)

matchLocationFromProjectLocationPublisherModelName(projectLocationPublisherModelName: string): string | number;

Parse the location from ProjectLocationPublisherModel resource.

Parameter
Name	Description
`projectLocationPublisherModelName`	`string` A fully-qualified path representing project_location_publisher_model resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromSavedQueryName(savedQueryName)

matchLocationFromSavedQueryName(savedQueryName: string): string | number;

Parse the location from SavedQuery resource.

Parameter
Name	Description
`savedQueryName`	`string` A fully-qualified path representing SavedQuery resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromScheduleName(scheduleName)

matchLocationFromScheduleName(scheduleName: string): string | number;

Parse the location from Schedule resource.

Parameter
Name	Description
`scheduleName`	`string` A fully-qualified path representing Schedule resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromSpecialistPoolName(specialistPoolName)

matchLocationFromSpecialistPoolName(specialistPoolName: string): string | number;

Parse the location from SpecialistPool resource.

Parameter
Name	Description
`specialistPoolName`	`string` A fully-qualified path representing SpecialistPool resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromStudyName(studyName)

matchLocationFromStudyName(studyName: string): string | number;

Parse the location from Study resource.

Parameter
Name	Description
`studyName`	`string` A fully-qualified path representing Study resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromTensorboardExperimentName(tensorboardExperimentName)

matchLocationFromTensorboardExperimentName(tensorboardExperimentName: string): string | number;

Parse the location from TensorboardExperiment resource.

Parameter
Name	Description
`tensorboardExperimentName`	`string` A fully-qualified path representing TensorboardExperiment resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromTensorboardName(tensorboardName)

matchLocationFromTensorboardName(tensorboardName: string): string | number;

Parse the location from Tensorboard resource.

Parameter
Name	Description
`tensorboardName`	`string` A fully-qualified path representing Tensorboard resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromTensorboardRunName(tensorboardRunName)

matchLocationFromTensorboardRunName(tensorboardRunName: string): string | number;

Parse the location from TensorboardRun resource.

Parameter
Name	Description
`tensorboardRunName`	`string` A fully-qualified path representing TensorboardRun resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromTensorboardTimeSeriesName(tensorboardTimeSeriesName)

matchLocationFromTensorboardTimeSeriesName(tensorboardTimeSeriesName: string): string | number;

Parse the location from TensorboardTimeSeries resource.

Parameter
Name	Description
`tensorboardTimeSeriesName`	`string` A fully-qualified path representing TensorboardTimeSeries resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromTrainingPipelineName(trainingPipelineName)

matchLocationFromTrainingPipelineName(trainingPipelineName: string): string | number;

Parse the location from TrainingPipeline resource.

Parameter
Name	Description
`trainingPipelineName`	`string` A fully-qualified path representing TrainingPipeline resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchLocationFromTrialName(trialName)

matchLocationFromTrialName(trialName: string): string | number;

Parse the location from Trial resource.

Parameter
Name	Description
`trialName`	`string` A fully-qualified path representing Trial resource.

Returns
Type	Description
`string \| number`	{string} A string representing the location.

matchMetadataSchemaFromMetadataSchemaName(metadataSchemaName)

matchMetadataSchemaFromMetadataSchemaName(metadataSchemaName: string): string | number;

Parse the metadata_schema from MetadataSchema resource.

Parameter
Name	Description
`metadataSchemaName`	`string` A fully-qualified path representing MetadataSchema resource.

Returns
Type	Description
`string \| number`	{string} A string representing the metadata_schema.

matchMetadataStoreFromArtifactName(artifactName)

matchMetadataStoreFromArtifactName(artifactName: string): string | number;

Parse the metadata_store from Artifact resource.

Parameter
Name	Description
`artifactName`	`string` A fully-qualified path representing Artifact resource.

Returns
Type	Description
`string \| number`	{string} A string representing the metadata_store.

matchMetadataStoreFromContextName(contextName)

matchMetadataStoreFromContextName(contextName: string): string | number;

Parse the metadata_store from Context resource.

Parameter
Name	Description
`contextName`	`string` A fully-qualified path representing Context resource.

Returns
Type	Description
`string \| number`	{string} A string representing the metadata_store.

matchMetadataStoreFromExecutionName(executionName)

matchMetadataStoreFromExecutionName(executionName: string): string | number;

Parse the metadata_store from Execution resource.

Parameter
Name	Description
`executionName`	`string` A fully-qualified path representing Execution resource.

Returns
Type	Description
`string \| number`	{string} A string representing the metadata_store.

matchMetadataStoreFromMetadataSchemaName(metadataSchemaName)

matchMetadataStoreFromMetadataSchemaName(metadataSchemaName: string): string | number;

Parse the metadata_store from MetadataSchema resource.

Parameter
Name	Description
`metadataSchemaName`	`string` A fully-qualified path representing MetadataSchema resource.

Returns
Type	Description
`string \| number`	{string} A string representing the metadata_store.

matchMetadataStoreFromMetadataStoreName(metadataStoreName)

matchMetadataStoreFromMetadataStoreName(metadataStoreName: string): string | number;

Parse the metadata_store from MetadataStore resource.

Parameter
Name	Description
`metadataStoreName`	`string` A fully-qualified path representing MetadataStore resource.

Returns
Type	Description
`string \| number`	{string} A string representing the metadata_store.

matchModelDeploymentMonitoringJobFromModelDeploymentMonitoringJobName(modelDeploymentMonitoringJobName)

matchModelDeploymentMonitoringJobFromModelDeploymentMonitoringJobName(modelDeploymentMonitoringJobName: string): string | number;

Parse the model_deployment_monitoring_job from ModelDeploymentMonitoringJob resource.

Parameter
Name	Description
`modelDeploymentMonitoringJobName`	`string` A fully-qualified path representing ModelDeploymentMonitoringJob resource.

Returns
Type	Description
`string \| number`	{string} A string representing the model_deployment_monitoring_job.

matchModelFromModelEvaluationName(modelEvaluationName)

matchModelFromModelEvaluationName(modelEvaluationName: string): string | number;

Parse the model from ModelEvaluation resource.

Parameter
Name	Description
`modelEvaluationName`	`string` A fully-qualified path representing ModelEvaluation resource.

Returns
Type	Description
`string \| number`	{string} A string representing the model.

matchModelFromModelEvaluationSliceName(modelEvaluationSliceName)

matchModelFromModelEvaluationSliceName(modelEvaluationSliceName: string): string | number;

Parse the model from ModelEvaluationSlice resource.

Parameter
Name	Description
`modelEvaluationSliceName`	`string` A fully-qualified path representing ModelEvaluationSlice resource.

Returns
Type	Description
`string \| number`	{string} A string representing the model.

matchModelFromModelName(modelName)

matchModelFromModelName(modelName: string): string | number;

Parse the model from Model resource.

Parameter
Name	Description
`modelName`	`string` A fully-qualified path representing Model resource.

Returns
Type	Description
`string \| number`	{string} A string representing the model.

matchModelFromProjectLocationPublisherModelName(projectLocationPublisherModelName)

matchModelFromProjectLocationPublisherModelName(projectLocationPublisherModelName: string): string | number;

Parse the model from ProjectLocationPublisherModel resource.

Parameter
Name	Description
`projectLocationPublisherModelName`	`string` A fully-qualified path representing project_location_publisher_model resource.

Returns
Type	Description
`string \| number`	{string} A string representing the model.

matchModelFromPublisherModelName(publisherModelName)

matchModelFromPublisherModelName(publisherModelName: string): string | number;

Parse the model from PublisherModel resource.

Parameter
Name	Description
`publisherModelName`	`string` A fully-qualified path representing PublisherModel resource.

Returns
Type	Description
`string \| number`	{string} A string representing the model.

matchNasJobFromNasJobName(nasJobName)

matchNasJobFromNasJobName(nasJobName: string): string | number;

Parse the nas_job from NasJob resource.

Parameter
Name	Description
`nasJobName`	`string` A fully-qualified path representing NasJob resource.

Returns
Type	Description
`string \| number`	{string} A string representing the nas_job.

matchNasJobFromNasTrialDetailName(nasTrialDetailName)

matchNasJobFromNasTrialDetailName(nasTrialDetailName: string): string | number;

Parse the nas_job from NasTrialDetail resource.

Parameter
Name	Description
`nasTrialDetailName`	`string` A fully-qualified path representing NasTrialDetail resource.

Returns
Type	Description
`string \| number`	{string} A string representing the nas_job.

matchNasTrialDetailFromNasTrialDetailName(nasTrialDetailName)

matchNasTrialDetailFromNasTrialDetailName(nasTrialDetailName: string): string | number;

Parse the nas_trial_detail from NasTrialDetail resource.

Parameter
Name	Description
`nasTrialDetailName`	`string` A fully-qualified path representing NasTrialDetail resource.

Returns
Type	Description
`string \| number`	{string} A string representing the nas_trial_detail.

matchPipelineJobFromPipelineJobName(pipelineJobName)

matchPipelineJobFromPipelineJobName(pipelineJobName: string): string | number;

Parse the pipeline_job from PipelineJob resource.

Parameter
Name	Description
`pipelineJobName`	`string` A fully-qualified path representing PipelineJob resource.

Returns
Type	Description
`string \| number`	{string} A string representing the pipeline_job.

matchProjectFromAnnotationName(annotationName)

matchProjectFromAnnotationName(annotationName: string): string | number;

Parse the project from Annotation resource.

Parameter
Name	Description
`annotationName`	`string` A fully-qualified path representing Annotation resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromAnnotationSpecName(annotationSpecName)

matchProjectFromAnnotationSpecName(annotationSpecName: string): string | number;

Parse the project from AnnotationSpec resource.

Parameter
Name	Description
`annotationSpecName`	`string` A fully-qualified path representing AnnotationSpec resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromArtifactName(artifactName)

matchProjectFromArtifactName(artifactName: string): string | number;

Parse the project from Artifact resource.

Parameter
Name	Description
`artifactName`	`string` A fully-qualified path representing Artifact resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromBatchPredictionJobName(batchPredictionJobName)

matchProjectFromBatchPredictionJobName(batchPredictionJobName: string): string | number;

Parse the project from BatchPredictionJob resource.

Parameter
Name	Description
`batchPredictionJobName`	`string` A fully-qualified path representing BatchPredictionJob resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromContextName(contextName)

matchProjectFromContextName(contextName: string): string | number;

Parse the project from Context resource.

Parameter
Name	Description
`contextName`	`string` A fully-qualified path representing Context resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromCustomJobName(customJobName)

matchProjectFromCustomJobName(customJobName: string): string | number;

Parse the project from CustomJob resource.

Parameter
Name	Description
`customJobName`	`string` A fully-qualified path representing CustomJob resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromDataItemName(dataItemName)

matchProjectFromDataItemName(dataItemName: string): string | number;

Parse the project from DataItem resource.

Parameter
Name	Description
`dataItemName`	`string` A fully-qualified path representing DataItem resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromDataLabelingJobName(dataLabelingJobName)

matchProjectFromDataLabelingJobName(dataLabelingJobName: string): string | number;

Parse the project from DataLabelingJob resource.

Parameter
Name	Description
`dataLabelingJobName`	`string` A fully-qualified path representing DataLabelingJob resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromDatasetName(datasetName)

matchProjectFromDatasetName(datasetName: string): string | number;

Parse the project from Dataset resource.

Parameter
Name	Description
`datasetName`	`string` A fully-qualified path representing Dataset resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromEntityTypeName(entityTypeName)

matchProjectFromEntityTypeName(entityTypeName: string): string | number;

Parse the project from EntityType resource.

Parameter
Name	Description
`entityTypeName`	`string` A fully-qualified path representing EntityType resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromExecutionName(executionName)

matchProjectFromExecutionName(executionName: string): string | number;

Parse the project from Execution resource.

Parameter
Name	Description
`executionName`	`string` A fully-qualified path representing Execution resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromFeatureName(featureName)

matchProjectFromFeatureName(featureName: string): string | number;

Parse the project from Feature resource.

Parameter
Name	Description
`featureName`	`string` A fully-qualified path representing Feature resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromFeaturestoreName(featurestoreName)

matchProjectFromFeaturestoreName(featurestoreName: string): string | number;

Parse the project from Featurestore resource.

Parameter
Name	Description
`featurestoreName`	`string` A fully-qualified path representing Featurestore resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromHyperparameterTuningJobName(hyperparameterTuningJobName)

matchProjectFromHyperparameterTuningJobName(hyperparameterTuningJobName: string): string | number;

Parse the project from HyperparameterTuningJob resource.

Parameter
Name	Description
`hyperparameterTuningJobName`	`string` A fully-qualified path representing HyperparameterTuningJob resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromIndexEndpointName(indexEndpointName)

matchProjectFromIndexEndpointName(indexEndpointName: string): string | number;

Parse the project from IndexEndpoint resource.

Parameter
Name	Description
`indexEndpointName`	`string` A fully-qualified path representing IndexEndpoint resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromIndexName(indexName)

matchProjectFromIndexName(indexName: string): string | number;

Parse the project from Index resource.

Parameter
Name	Description
`indexName`	`string` A fully-qualified path representing Index resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromLocationName(locationName)

matchProjectFromLocationName(locationName: string): string | number;

Parse the project from Location resource.

Parameter
Name	Description
`locationName`	`string` A fully-qualified path representing Location resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromMetadataSchemaName(metadataSchemaName)

matchProjectFromMetadataSchemaName(metadataSchemaName: string): string | number;

Parse the project from MetadataSchema resource.

Parameter
Name	Description
`metadataSchemaName`	`string` A fully-qualified path representing MetadataSchema resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromMetadataStoreName(metadataStoreName)

matchProjectFromMetadataStoreName(metadataStoreName: string): string | number;

Parse the project from MetadataStore resource.

Parameter
Name	Description
`metadataStoreName`	`string` A fully-qualified path representing MetadataStore resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromModelDeploymentMonitoringJobName(modelDeploymentMonitoringJobName)

matchProjectFromModelDeploymentMonitoringJobName(modelDeploymentMonitoringJobName: string): string | number;

Parse the project from ModelDeploymentMonitoringJob resource.

Parameter
Name	Description
`modelDeploymentMonitoringJobName`	`string` A fully-qualified path representing ModelDeploymentMonitoringJob resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromModelEvaluationName(modelEvaluationName)

matchProjectFromModelEvaluationName(modelEvaluationName: string): string | number;

Parse the project from ModelEvaluation resource.

Parameter
Name	Description
`modelEvaluationName`	`string` A fully-qualified path representing ModelEvaluation resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromModelEvaluationSliceName(modelEvaluationSliceName)

matchProjectFromModelEvaluationSliceName(modelEvaluationSliceName: string): string | number;

Parse the project from ModelEvaluationSlice resource.

Parameter
Name	Description
`modelEvaluationSliceName`	`string` A fully-qualified path representing ModelEvaluationSlice resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromModelName(modelName)

matchProjectFromModelName(modelName: string): string | number;

Parse the project from Model resource.

Parameter
Name	Description
`modelName`	`string` A fully-qualified path representing Model resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromNasJobName(nasJobName)

matchProjectFromNasJobName(nasJobName: string): string | number;

Parse the project from NasJob resource.

Parameter
Name	Description
`nasJobName`	`string` A fully-qualified path representing NasJob resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromNasTrialDetailName(nasTrialDetailName)

matchProjectFromNasTrialDetailName(nasTrialDetailName: string): string | number;

Parse the project from NasTrialDetail resource.

Parameter
Name	Description
`nasTrialDetailName`	`string` A fully-qualified path representing NasTrialDetail resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromPipelineJobName(pipelineJobName)

matchProjectFromPipelineJobName(pipelineJobName: string): string | number;

Parse the project from PipelineJob resource.

Parameter
Name	Description
`pipelineJobName`	`string` A fully-qualified path representing PipelineJob resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromProjectLocationEndpointName(projectLocationEndpointName)

matchProjectFromProjectLocationEndpointName(projectLocationEndpointName: string): string | number;

Parse the project from ProjectLocationEndpoint resource.

Parameter
Name	Description
`projectLocationEndpointName`	`string` A fully-qualified path representing project_location_endpoint resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromProjectLocationPublisherModelName(projectLocationPublisherModelName)

matchProjectFromProjectLocationPublisherModelName(projectLocationPublisherModelName: string): string | number;

Parse the project from ProjectLocationPublisherModel resource.

Parameter
Name	Description
`projectLocationPublisherModelName`	`string` A fully-qualified path representing project_location_publisher_model resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromProjectName(projectName)

matchProjectFromProjectName(projectName: string): string | number;

Parse the project from Project resource.

Parameter
Name	Description
`projectName`	`string` A fully-qualified path representing Project resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromSavedQueryName(savedQueryName)

matchProjectFromSavedQueryName(savedQueryName: string): string | number;

Parse the project from SavedQuery resource.

Parameter
Name	Description
`savedQueryName`	`string` A fully-qualified path representing SavedQuery resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromScheduleName(scheduleName)

matchProjectFromScheduleName(scheduleName: string): string | number;

Parse the project from Schedule resource.

Parameter
Name	Description
`scheduleName`	`string` A fully-qualified path representing Schedule resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromSpecialistPoolName(specialistPoolName)

matchProjectFromSpecialistPoolName(specialistPoolName: string): string | number;

Parse the project from SpecialistPool resource.

Parameter
Name	Description
`specialistPoolName`	`string` A fully-qualified path representing SpecialistPool resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromStudyName(studyName)

matchProjectFromStudyName(studyName: string): string | number;

Parse the project from Study resource.

Parameter
Name	Description
`studyName`	`string` A fully-qualified path representing Study resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromTensorboardExperimentName(tensorboardExperimentName)

matchProjectFromTensorboardExperimentName(tensorboardExperimentName: string): string | number;

Parse the project from TensorboardExperiment resource.

Parameter
Name	Description
`tensorboardExperimentName`	`string` A fully-qualified path representing TensorboardExperiment resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromTensorboardName(tensorboardName)

matchProjectFromTensorboardName(tensorboardName: string): string | number;

Parse the project from Tensorboard resource.

Parameter
Name	Description
`tensorboardName`	`string` A fully-qualified path representing Tensorboard resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromTensorboardRunName(tensorboardRunName)

matchProjectFromTensorboardRunName(tensorboardRunName: string): string | number;

Parse the project from TensorboardRun resource.

Parameter
Name	Description
`tensorboardRunName`	`string` A fully-qualified path representing TensorboardRun resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromTensorboardTimeSeriesName(tensorboardTimeSeriesName)

matchProjectFromTensorboardTimeSeriesName(tensorboardTimeSeriesName: string): string | number;

Parse the project from TensorboardTimeSeries resource.

Parameter
Name	Description
`tensorboardTimeSeriesName`	`string` A fully-qualified path representing TensorboardTimeSeries resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromTrainingPipelineName(trainingPipelineName)

matchProjectFromTrainingPipelineName(trainingPipelineName: string): string | number;

Parse the project from TrainingPipeline resource.

Parameter
Name	Description
`trainingPipelineName`	`string` A fully-qualified path representing TrainingPipeline resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchProjectFromTrialName(trialName)

matchProjectFromTrialName(trialName: string): string | number;

Parse the project from Trial resource.

Parameter
Name	Description
`trialName`	`string` A fully-qualified path representing Trial resource.

Returns
Type	Description
`string \| number`	{string} A string representing the project.

matchPublisherFromProjectLocationPublisherModelName(projectLocationPublisherModelName)

matchPublisherFromProjectLocationPublisherModelName(projectLocationPublisherModelName: string): string | number;

Parse the publisher from ProjectLocationPublisherModel resource.

Parameter
Name	Description
`projectLocationPublisherModelName`	`string` A fully-qualified path representing project_location_publisher_model resource.

Returns
Type	Description
`string \| number`	{string} A string representing the publisher.

matchPublisherFromPublisherModelName(publisherModelName)

matchPublisherFromPublisherModelName(publisherModelName: string): string | number;

Parse the publisher from PublisherModel resource.

Parameter
Name	Description
`publisherModelName`	`string` A fully-qualified path representing PublisherModel resource.

Returns
Type	Description
`string \| number`	{string} A string representing the publisher.

matchRunFromTensorboardRunName(tensorboardRunName)

matchRunFromTensorboardRunName(tensorboardRunName: string): string | number;

Parse the run from TensorboardRun resource.

Parameter
Name	Description
`tensorboardRunName`	`string` A fully-qualified path representing TensorboardRun resource.

Returns
Type	Description
`string \| number`	{string} A string representing the run.

matchRunFromTensorboardTimeSeriesName(tensorboardTimeSeriesName)

matchRunFromTensorboardTimeSeriesName(tensorboardTimeSeriesName: string): string | number;

Parse the run from TensorboardTimeSeries resource.

Parameter
Name	Description
`tensorboardTimeSeriesName`	`string` A fully-qualified path representing TensorboardTimeSeries resource.

Returns
Type	Description
`string \| number`	{string} A string representing the run.

matchSavedQueryFromSavedQueryName(savedQueryName)

matchSavedQueryFromSavedQueryName(savedQueryName: string): string | number;

Parse the saved_query from SavedQuery resource.

Parameter
Name	Description
`savedQueryName`	`string` A fully-qualified path representing SavedQuery resource.

Returns
Type	Description
`string \| number`	{string} A string representing the saved_query.

matchScheduleFromScheduleName(scheduleName)

matchScheduleFromScheduleName(scheduleName: string): string | number;

Parse the schedule from Schedule resource.

Parameter
Name	Description
`scheduleName`	`string` A fully-qualified path representing Schedule resource.

Returns
Type	Description
`string \| number`	{string} A string representing the schedule.

matchSliceFromModelEvaluationSliceName(modelEvaluationSliceName)

matchSliceFromModelEvaluationSliceName(modelEvaluationSliceName: string): string | number;

Parse the slice from ModelEvaluationSlice resource.

Parameter
Name	Description
`modelEvaluationSliceName`	`string` A fully-qualified path representing ModelEvaluationSlice resource.

Returns
Type	Description
`string \| number`	{string} A string representing the slice.

matchSpecialistPoolFromSpecialistPoolName(specialistPoolName)

matchSpecialistPoolFromSpecialistPoolName(specialistPoolName: string): string | number;

Parse the specialist_pool from SpecialistPool resource.

Parameter
Name	Description
`specialistPoolName`	`string` A fully-qualified path representing SpecialistPool resource.

Returns
Type	Description
`string \| number`	{string} A string representing the specialist_pool.

matchStudyFromStudyName(studyName)

matchStudyFromStudyName(studyName: string): string | number;

Parse the study from Study resource.

Parameter
Name	Description
`studyName`	`string` A fully-qualified path representing Study resource.

Returns
Type	Description
`string \| number`	{string} A string representing the study.

matchStudyFromTrialName(trialName)

matchStudyFromTrialName(trialName: string): string | number;

Parse the study from Trial resource.

Parameter
Name	Description
`trialName`	`string` A fully-qualified path representing Trial resource.

Returns
Type	Description
`string \| number`	{string} A string representing the study.

matchTensorboardFromTensorboardExperimentName(tensorboardExperimentName)

matchTensorboardFromTensorboardExperimentName(tensorboardExperimentName: string): string | number;

Parse the tensorboard from TensorboardExperiment resource.

Parameter
Name	Description
`tensorboardExperimentName`	`string` A fully-qualified path representing TensorboardExperiment resource.

Returns
Type	Description
`string \| number`	{string} A string representing the tensorboard.

matchTensorboardFromTensorboardName(tensorboardName)

matchTensorboardFromTensorboardName(tensorboardName: string): string | number;

Parse the tensorboard from Tensorboard resource.

Parameter
Name	Description
`tensorboardName`	`string` A fully-qualified path representing Tensorboard resource.

Returns
Type	Description
`string \| number`	{string} A string representing the tensorboard.

matchTensorboardFromTensorboardRunName(tensorboardRunName)

matchTensorboardFromTensorboardRunName(tensorboardRunName: string): string | number;

Parse the tensorboard from TensorboardRun resource.

Parameter
Name	Description
`tensorboardRunName`	`string` A fully-qualified path representing TensorboardRun resource.

Returns
Type	Description
`string \| number`	{string} A string representing the tensorboard.

matchTensorboardFromTensorboardTimeSeriesName(tensorboardTimeSeriesName)

matchTensorboardFromTensorboardTimeSeriesName(tensorboardTimeSeriesName: string): string | number;

Parse the tensorboard from TensorboardTimeSeries resource.

Parameter
Name	Description
`tensorboardTimeSeriesName`	`string` A fully-qualified path representing TensorboardTimeSeries resource.

Returns
Type	Description
`string \| number`	{string} A string representing the tensorboard.

matchTimeSeriesFromTensorboardTimeSeriesName(tensorboardTimeSeriesName)

matchTimeSeriesFromTensorboardTimeSeriesName(tensorboardTimeSeriesName: string): string | number;

Parse the time_series from TensorboardTimeSeries resource.

Parameter
Name	Description
`tensorboardTimeSeriesName`	`string` A fully-qualified path representing TensorboardTimeSeries resource.

Returns
Type	Description
`string \| number`	{string} A string representing the time_series.

matchTrainingPipelineFromTrainingPipelineName(trainingPipelineName)

matchTrainingPipelineFromTrainingPipelineName(trainingPipelineName: string): string | number;

Parse the training_pipeline from TrainingPipeline resource.

Parameter
Name	Description
`trainingPipelineName`	`string` A fully-qualified path representing TrainingPipeline resource.

Returns
Type	Description
`string \| number`	{string} A string representing the training_pipeline.

matchTrialFromTrialName(trialName)

matchTrialFromTrialName(trialName: string): string | number;

Parse the trial from Trial resource.

Parameter
Name	Description
`trialName`	`string` A fully-qualified path representing Trial resource.

Returns
Type	Description
`string \| number`	{string} A string representing the trial.

metadataSchemaPath(project, location, metadataStore, metadataSchema)

metadataSchemaPath(project: string, location: string, metadataStore: string, metadataSchema: string): string;

Return a fully-qualified metadataSchema resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`metadataStore`	`string`
`metadataSchema`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

metadataStorePath(project, location, metadataStore)

metadataStorePath(project: string, location: string, metadataStore: string): string;

Return a fully-qualified metadataStore resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`metadataStore`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

modelDeploymentMonitoringJobPath(project, location, modelDeploymentMonitoringJob)

modelDeploymentMonitoringJobPath(project: string, location: string, modelDeploymentMonitoringJob: string): string;

Return a fully-qualified modelDeploymentMonitoringJob resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`modelDeploymentMonitoringJob`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

modelEvaluationPath(project, location, model, evaluation)

modelEvaluationPath(project: string, location: string, model: string, evaluation: string): string;

Return a fully-qualified modelEvaluation resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`model`	`string`
`evaluation`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

modelEvaluationSlicePath(project, location, model, evaluation, slice)

modelEvaluationSlicePath(project: string, location: string, model: string, evaluation: string, slice: string): string;

Return a fully-qualified modelEvaluationSlice resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`model`	`string`
`evaluation`	`string`
`slice`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

modelPath(project, location, model)

modelPath(project: string, location: string, model: string): string;

Return a fully-qualified model resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`model`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

nasJobPath(project, location, nasJob)

nasJobPath(project: string, location: string, nasJob: string): string;

Return a fully-qualified nasJob resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`nasJob`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

nasTrialDetailPath(project, location, nasJob, nasTrialDetail)

nasTrialDetailPath(project: string, location: string, nasJob: string, nasTrialDetail: string): string;

Return a fully-qualified nasTrialDetail resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`nasJob`	`string`
`nasTrialDetail`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

pipelineJobPath(project, location, pipelineJob)

pipelineJobPath(project: string, location: string, pipelineJob: string): string;

Return a fully-qualified pipelineJob resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`pipelineJob`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

projectLocationEndpointPath(project, location, endpoint)

projectLocationEndpointPath(project: string, location: string, endpoint: string): string;

Return a fully-qualified projectLocationEndpoint resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`endpoint`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

projectLocationPublisherModelPath(project, location, publisher, model)

projectLocationPublisherModelPath(project: string, location: string, publisher: string, model: string): string;

Return a fully-qualified projectLocationPublisherModel resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`publisher`	`string`
`model`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

projectPath(project)

projectPath(project: string): string;

Return a fully-qualified project resource name string.

Parameter
Name	Description
`project`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

publisherModelPath(publisher, model)

publisherModelPath(publisher: string, model: string): string;

Return a fully-qualified publisherModel resource name string.

Parameters
Name	Description
`publisher`	`string`
`model`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

purgeArtifacts(request, options)

purgeArtifacts(request?: protos.google.cloud.aiplatform.v1.IPurgeArtifactsRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.cloud.aiplatform.v1.IPurgeArtifactsResponse, protos.google.cloud.aiplatform.v1.IPurgeArtifactsMetadata>,
        protos.google.longrunning.IOperation | undefined,
        {} | undefined
    ]>;

Purges Artifacts.

Parameters
Name	Description
`request`	`IPurgeArtifactsRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Promise<[ LROperation<protos.google.cloud.aiplatform.v1.IPurgeArtifactsResponse, protos.google.cloud.aiplatform.v1.IPurgeArtifactsMetadata>, protos.google.longrunning.IOperation \| undefined, {} \| undefined ]>`	{Promise} - The promise which resolves to an array. The first element of the array is an object representing a long running operation. Its `promise()` method returns a promise you can `await` for. Please see the documentation for more details and examples.

Example


  /**
   * 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 metadata store to purge Artifacts from.
   *  Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
   */
  // const parent = 'abc123'
  /**
   *  Required. A required filter matching the Artifacts to be purged.
   *  E.g., `update_time <= 2020-11-19t11:30:00-04:00`.="" */="" const="" filter='abc123' *="" *="" optional.="" flag="" to="" indicate="" to="" actually="" perform="" the="" purge.="" *="" if="" `force`="" is="" set="" to="" false,="" the="" method="" will="" return="" a="" sample="" of="" *="" artifact="" names="" that="" would="" be="" deleted.="" */="" const="" force="true" imports="" the="" aiplatform="" library="" const="" {metadataserviceclient}="require('@google-cloud/aiplatform').v1;" instantiates="" a="" client="" const="" aiplatformclient="new" metadataserviceclient();="" async="" function="" callpurgeartifacts()="" {="" construct="" request="" const="" request="{" parent,="" filter,="" };="" run="" request="" const="" [operation]="await" aiplatformclient.purgeartifacts(request);="" const="" [response]="await" operation.promise();="" console.log(response);="" }="" callpurgeartifacts();="">

purgeArtifacts(request, options, callback)

purgeArtifacts(request: protos.google.cloud.aiplatform.v1.IPurgeArtifactsRequest, options: CallOptions, callback: Callback<LROperation<protos.google.cloud.aiplatform.v1.IPurgeArtifactsResponse, protos.google.cloud.aiplatform.v1.IPurgeArtifactsMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`IPurgeArtifactsRequest`
`options`	`CallOptions`
`callback`	`Callback<LROperation<protos.google.cloud.aiplatform.v1.IPurgeArtifactsResponse, protos.google.cloud.aiplatform.v1.IPurgeArtifactsMetadata>, protos.google.longrunning.IOperation \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

purgeArtifacts(request, callback)

purgeArtifacts(request: protos.google.cloud.aiplatform.v1.IPurgeArtifactsRequest, callback: Callback<LROperation<protos.google.cloud.aiplatform.v1.IPurgeArtifactsResponse, protos.google.cloud.aiplatform.v1.IPurgeArtifactsMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`IPurgeArtifactsRequest`
`callback`	`Callback<LROperation<protos.google.cloud.aiplatform.v1.IPurgeArtifactsResponse, protos.google.cloud.aiplatform.v1.IPurgeArtifactsMetadata>, protos.google.longrunning.IOperation \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

purgeContexts(request, options)

purgeContexts(request?: protos.google.cloud.aiplatform.v1.IPurgeContextsRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.cloud.aiplatform.v1.IPurgeContextsResponse, protos.google.cloud.aiplatform.v1.IPurgeContextsMetadata>,
        protos.google.longrunning.IOperation | undefined,
        {} | undefined
    ]>;

Purges Contexts.

Parameters
Name	Description
`request`	`IPurgeContextsRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Promise<[ LROperation<protos.google.cloud.aiplatform.v1.IPurgeContextsResponse, protos.google.cloud.aiplatform.v1.IPurgeContextsMetadata>, protos.google.longrunning.IOperation \| undefined, {} \| undefined ]>`	{Promise} - The promise which resolves to an array. The first element of the array is an object representing a long running operation. Its `promise()` method returns a promise you can `await` for. Please see the documentation for more details and examples.

Example


  /**
   * 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 metadata store to purge Contexts from.
   *  Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
   */
  // const parent = 'abc123'
  /**
   *  Required. A required filter matching the Contexts to be purged.
   *  E.g., `update_time <= 2020-11-19t11:30:00-04:00`.="" */="" const="" filter='abc123' *="" *="" optional.="" flag="" to="" indicate="" to="" actually="" perform="" the="" purge.="" *="" if="" `force`="" is="" set="" to="" false,="" the="" method="" will="" return="" a="" sample="" of="" *="" context="" names="" that="" would="" be="" deleted.="" */="" const="" force="true" imports="" the="" aiplatform="" library="" const="" {metadataserviceclient}="require('@google-cloud/aiplatform').v1;" instantiates="" a="" client="" const="" aiplatformclient="new" metadataserviceclient();="" async="" function="" callpurgecontexts()="" {="" construct="" request="" const="" request="{" parent,="" filter,="" };="" run="" request="" const="" [operation]="await" aiplatformclient.purgecontexts(request);="" const="" [response]="await" operation.promise();="" console.log(response);="" }="" callpurgecontexts();="">

purgeContexts(request, options, callback)

purgeContexts(request: protos.google.cloud.aiplatform.v1.IPurgeContextsRequest, options: CallOptions, callback: Callback<LROperation<protos.google.cloud.aiplatform.v1.IPurgeContextsResponse, protos.google.cloud.aiplatform.v1.IPurgeContextsMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`IPurgeContextsRequest`
`options`	`CallOptions`
`callback`	`Callback<LROperation<protos.google.cloud.aiplatform.v1.IPurgeContextsResponse, protos.google.cloud.aiplatform.v1.IPurgeContextsMetadata>, protos.google.longrunning.IOperation \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

purgeContexts(request, callback)

purgeContexts(request: protos.google.cloud.aiplatform.v1.IPurgeContextsRequest, callback: Callback<LROperation<protos.google.cloud.aiplatform.v1.IPurgeContextsResponse, protos.google.cloud.aiplatform.v1.IPurgeContextsMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`IPurgeContextsRequest`
`callback`	`Callback<LROperation<protos.google.cloud.aiplatform.v1.IPurgeContextsResponse, protos.google.cloud.aiplatform.v1.IPurgeContextsMetadata>, protos.google.longrunning.IOperation \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

purgeExecutions(request, options)

purgeExecutions(request?: protos.google.cloud.aiplatform.v1.IPurgeExecutionsRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.cloud.aiplatform.v1.IPurgeExecutionsResponse, protos.google.cloud.aiplatform.v1.IPurgeExecutionsMetadata>,
        protos.google.longrunning.IOperation | undefined,
        {} | undefined
    ]>;

Purges Executions.

Parameters
Name	Description
`request`	`IPurgeExecutionsRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Promise<[ LROperation<protos.google.cloud.aiplatform.v1.IPurgeExecutionsResponse, protos.google.cloud.aiplatform.v1.IPurgeExecutionsMetadata>, protos.google.longrunning.IOperation \| undefined, {} \| undefined ]>`	{Promise} - The promise which resolves to an array. The first element of the array is an object representing a long running operation. Its `promise()` method returns a promise you can `await` for. Please see the documentation for more details and examples.

Example


  /**
   * 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 metadata store to purge Executions from.
   *  Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
   */
  // const parent = 'abc123'
  /**
   *  Required. A required filter matching the Executions to be purged.
   *  E.g., `update_time <= 2020-11-19t11:30:00-04:00`.="" */="" const="" filter='abc123' *="" *="" optional.="" flag="" to="" indicate="" to="" actually="" perform="" the="" purge.="" *="" if="" `force`="" is="" set="" to="" false,="" the="" method="" will="" return="" a="" sample="" of="" *="" execution="" names="" that="" would="" be="" deleted.="" */="" const="" force="true" imports="" the="" aiplatform="" library="" const="" {metadataserviceclient}="require('@google-cloud/aiplatform').v1;" instantiates="" a="" client="" const="" aiplatformclient="new" metadataserviceclient();="" async="" function="" callpurgeexecutions()="" {="" construct="" request="" const="" request="{" parent,="" filter,="" };="" run="" request="" const="" [operation]="await" aiplatformclient.purgeexecutions(request);="" const="" [response]="await" operation.promise();="" console.log(response);="" }="" callpurgeexecutions();="">

purgeExecutions(request, options, callback)

purgeExecutions(request: protos.google.cloud.aiplatform.v1.IPurgeExecutionsRequest, options: CallOptions, callback: Callback<LROperation<protos.google.cloud.aiplatform.v1.IPurgeExecutionsResponse, protos.google.cloud.aiplatform.v1.IPurgeExecutionsMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`IPurgeExecutionsRequest`
`options`	`CallOptions`
`callback`	`Callback<LROperation<protos.google.cloud.aiplatform.v1.IPurgeExecutionsResponse, protos.google.cloud.aiplatform.v1.IPurgeExecutionsMetadata>, protos.google.longrunning.IOperation \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

purgeExecutions(request, callback)

purgeExecutions(request: protos.google.cloud.aiplatform.v1.IPurgeExecutionsRequest, callback: Callback<LROperation<protos.google.cloud.aiplatform.v1.IPurgeExecutionsResponse, protos.google.cloud.aiplatform.v1.IPurgeExecutionsMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`IPurgeExecutionsRequest`
`callback`	`Callback<LROperation<protos.google.cloud.aiplatform.v1.IPurgeExecutionsResponse, protos.google.cloud.aiplatform.v1.IPurgeExecutionsMetadata>, protos.google.longrunning.IOperation \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

queryArtifactLineageSubgraph(request, options)

queryArtifactLineageSubgraph(request?: protos.google.cloud.aiplatform.v1.IQueryArtifactLineageSubgraphRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.ILineageSubgraph,
        (protos.google.cloud.aiplatform.v1.IQueryArtifactLineageSubgraphRequest | undefined),
        {} | undefined
    ]>;

Retrieves lineage of an Artifact represented through Artifacts and Executions connected by Event edges and returned as a LineageSubgraph.

Parameters
Name	Description
`request`	`IQueryArtifactLineageSubgraphRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Promise<[ protos.google.cloud.aiplatform.v1.ILineageSubgraph, (protos.google.cloud.aiplatform.v1.IQueryArtifactLineageSubgraphRequest \| undefined), {} \| undefined ]>`	{Promise} - The promise which resolves to an array. The first element of the array is an object representing LineageSubgraph. Please see the documentation for more details and examples.

Example


  /**
   * 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 Artifact whose Lineage needs to be
   *  retrieved as a LineageSubgraph. Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
   *  The request may error with FAILED_PRECONDITION if the number of Artifacts,
   *  the number of Executions, or the number of Events that would be returned
   *  for the Context exceeds 1000.
   */
  // const artifact = 'abc123'
  /**
   *  Specifies the size of the lineage graph in terms of number of hops from the
   *  specified artifact.
   *  Negative Value: INVALID_ARGUMENT error is returned
   *  0: Only input artifact is returned.
   *  No value: Transitive closure is performed to return the complete graph.
   */
  // const maxHops = 1234
  /**
   *  Filter specifying the boolean condition for the Artifacts to satisfy in
   *  order to be part of the Lineage Subgraph.
   *  The syntax to define filter query is based on https://google.aip.dev/160.
   *  The supported set of filters include the following:
   *  *  **Attribute filtering**:
   *     For example: `display_name = "test"`
   *     Supported fields include: `name`, `display_name`, `uri`, `state`,
   *     `schema_title`, `create_time`, and `update_time`.
   *     Time fields, such as `create_time` and `update_time`, require values
   *     specified in RFC-3339 format.
   *     For example: `create_time = "2020-11-19T11:30:00-04:00"`
   *  *  **Metadata field**:
   *     To filter on metadata fields use traversal operation as follows:
   *     `metadata.

queryArtifactLineageSubgraph(request, options, callback)

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

Parameters
Name	Description
`request`	`IQueryArtifactLineageSubgraphRequest`
`options`	`CallOptions`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.ILineageSubgraph, protos.google.cloud.aiplatform.v1.IQueryArtifactLineageSubgraphRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

queryArtifactLineageSubgraph(request, callback)

queryArtifactLineageSubgraph(request: protos.google.cloud.aiplatform.v1.IQueryArtifactLineageSubgraphRequest, callback: Callback<protos.google.cloud.aiplatform.v1.ILineageSubgraph, protos.google.cloud.aiplatform.v1.IQueryArtifactLineageSubgraphRequest | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`IQueryArtifactLineageSubgraphRequest`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.ILineageSubgraph, protos.google.cloud.aiplatform.v1.IQueryArtifactLineageSubgraphRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

queryContextLineageSubgraph(request, options)

queryContextLineageSubgraph(request?: protos.google.cloud.aiplatform.v1.IQueryContextLineageSubgraphRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.ILineageSubgraph,
        (protos.google.cloud.aiplatform.v1.IQueryContextLineageSubgraphRequest | undefined),
        {} | undefined
    ]>;

Retrieves Artifacts and Executions within the specified Context, connected by Event edges and returned as a LineageSubgraph.

Parameters
Name	Description
`request`	`IQueryContextLineageSubgraphRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Promise<[ protos.google.cloud.aiplatform.v1.ILineageSubgraph, (protos.google.cloud.aiplatform.v1.IQueryContextLineageSubgraphRequest \| undefined), {} \| undefined ]>`	{Promise} - The promise which resolves to an array. The first element of the array is an object representing LineageSubgraph. Please see the documentation for more details and examples.

Example


  /**
   * 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 Context whose Artifacts and Executions
   *  should be retrieved as a LineageSubgraph.
   *  Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
   *  The request may error with FAILED_PRECONDITION if the number of Artifacts,
   *  the number of Executions, or the number of Events that would be returned
   *  for the Context exceeds 1000.
   */
  // const context = 'abc123'

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

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

  async function callQueryContextLineageSubgraph() {
    // Construct request
    const request = {
      context,
    };

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

  callQueryContextLineageSubgraph();

queryContextLineageSubgraph(request, options, callback)

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

Parameters
Name	Description
`request`	`IQueryContextLineageSubgraphRequest`
`options`	`CallOptions`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.ILineageSubgraph, protos.google.cloud.aiplatform.v1.IQueryContextLineageSubgraphRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

queryContextLineageSubgraph(request, callback)

queryContextLineageSubgraph(request: protos.google.cloud.aiplatform.v1.IQueryContextLineageSubgraphRequest, callback: Callback<protos.google.cloud.aiplatform.v1.ILineageSubgraph, protos.google.cloud.aiplatform.v1.IQueryContextLineageSubgraphRequest | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`IQueryContextLineageSubgraphRequest`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.ILineageSubgraph, protos.google.cloud.aiplatform.v1.IQueryContextLineageSubgraphRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

queryExecutionInputsAndOutputs(request, options)

queryExecutionInputsAndOutputs(request?: protos.google.cloud.aiplatform.v1.IQueryExecutionInputsAndOutputsRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.ILineageSubgraph,
        (protos.google.cloud.aiplatform.v1.IQueryExecutionInputsAndOutputsRequest | undefined),
        {} | undefined
    ]>;

Obtains the set of input and output Artifacts for this Execution, in the form of LineageSubgraph that also contains the Execution and connecting Events.

Parameters
Name	Description
`request`	`IQueryExecutionInputsAndOutputsRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Promise<[ protos.google.cloud.aiplatform.v1.ILineageSubgraph, (protos.google.cloud.aiplatform.v1.IQueryExecutionInputsAndOutputsRequest \| undefined), {} \| undefined ]>`	{Promise} - The promise which resolves to an array. The first element of the array is an object representing LineageSubgraph. Please see the documentation for more details and examples.

Example


  /**
   * 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 Execution whose input and output
   *  Artifacts should be retrieved as a LineageSubgraph. Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
   */
  // const execution = 'abc123'

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

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

  async function callQueryExecutionInputsAndOutputs() {
    // Construct request
    const request = {
      execution,
    };

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

  callQueryExecutionInputsAndOutputs();

queryExecutionInputsAndOutputs(request, options, callback)

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

Parameters
Name	Description
`request`	`IQueryExecutionInputsAndOutputsRequest`
`options`	`CallOptions`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.ILineageSubgraph, protos.google.cloud.aiplatform.v1.IQueryExecutionInputsAndOutputsRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

queryExecutionInputsAndOutputs(request, callback)

queryExecutionInputsAndOutputs(request: protos.google.cloud.aiplatform.v1.IQueryExecutionInputsAndOutputsRequest, callback: Callback<protos.google.cloud.aiplatform.v1.ILineageSubgraph, protos.google.cloud.aiplatform.v1.IQueryExecutionInputsAndOutputsRequest | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`IQueryExecutionInputsAndOutputsRequest`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.ILineageSubgraph, protos.google.cloud.aiplatform.v1.IQueryExecutionInputsAndOutputsRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

removeContextChildren(request, options)

removeContextChildren(request?: protos.google.cloud.aiplatform.v1.IRemoveContextChildrenRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.IRemoveContextChildrenResponse,
        (protos.google.cloud.aiplatform.v1.IRemoveContextChildrenRequest | undefined),
        {} | undefined
    ]>;

Remove a set of children contexts from a parent Context. If any of the child Contexts were NOT added to the parent Context, they are simply skipped.

Parameters
Name	Description
`request`	`IRemoveContextChildrenRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Promise<[ protos.google.cloud.aiplatform.v1.IRemoveContextChildrenResponse, (protos.google.cloud.aiplatform.v1.IRemoveContextChildrenRequest \| undefined), {} \| undefined ]>`	{Promise} - The promise which resolves to an array. The first element of the array is an object representing RemoveContextChildrenResponse. Please see the documentation for more details and examples.

Example


  /**
   * 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 parent Context.
   *  Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
   */
  // const context = 'abc123'
  /**
   *  The resource names of the child Contexts.
   */
  // const childContexts = ['abc','def']

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

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

  async function callRemoveContextChildren() {
    // Construct request
    const request = {
      context,
    };

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

  callRemoveContextChildren();

removeContextChildren(request, options, callback)

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

Parameters
Name	Description
`request`	`IRemoveContextChildrenRequest`
`options`	`CallOptions`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.IRemoveContextChildrenResponse, protos.google.cloud.aiplatform.v1.IRemoveContextChildrenRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

removeContextChildren(request, callback)

removeContextChildren(request: protos.google.cloud.aiplatform.v1.IRemoveContextChildrenRequest, callback: Callback<protos.google.cloud.aiplatform.v1.IRemoveContextChildrenResponse, protos.google.cloud.aiplatform.v1.IRemoveContextChildrenRequest | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`IRemoveContextChildrenRequest`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.IRemoveContextChildrenResponse, protos.google.cloud.aiplatform.v1.IRemoveContextChildrenRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

savedQueryPath(project, location, dataset, savedQuery)

savedQueryPath(project: string, location: string, dataset: string, savedQuery: string): string;

Return a fully-qualified savedQuery resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`dataset`	`string`
`savedQuery`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

schedulePath(project, location, schedule)

schedulePath(project: string, location: string, schedule: string): string;

Return a fully-qualified schedule resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`schedule`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

setIamPolicy(request, options, callback)

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

Returns permissions that a caller has on the specified resource. If the resource does not exist, this will return an empty set of permissions, not a NOT_FOUND error.

Note: This operation is designed to be used for building permission-aware UIs and command-line tools, not for authorization checking. This operation may "fail open" without warning.

Parameters
Name	Description
`request`	`IamProtos.google.iam.v1.SetIamPolicyRequest` The request object that will be sent.
`options`	`CallOptions \| Callback<google.iam.v1.Policy, google.iam.v1.SetIamPolicyRequest \| null \| undefined, {} \| null \| undefined>` Optional parameters. You can override the default settings for this call, e.g, timeout, retries, paginations, etc. See gax.CallOptions for the details.
`callback`	`Callback<google.iam.v1.Policy, google.iam.v1.SetIamPolicyRequest \| null \| undefined, {} \| null \| undefined>` The function which will be called with the result of the API call. The second parameter to the callback is an object representing .

Returns
Type	Description
`Promise<[google.iam.v1.Policy]>`	{Promise} - The promise which resolves to an array. The first element of the array is an object representing . The promise has a method named "cancel" which cancels the ongoing API call.

specialistPoolPath(project, location, specialistPool)

specialistPoolPath(project: string, location: string, specialistPool: string): string;

Return a fully-qualified specialistPool resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`specialistPool`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

studyPath(project, location, study)

studyPath(project: string, location: string, study: string): string;

Return a fully-qualified study resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`study`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

tensorboardExperimentPath(project, location, tensorboard, experiment)

tensorboardExperimentPath(project: string, location: string, tensorboard: string, experiment: string): string;

Return a fully-qualified tensorboardExperiment resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`tensorboard`	`string`
`experiment`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

tensorboardPath(project, location, tensorboard)

tensorboardPath(project: string, location: string, tensorboard: string): string;

Return a fully-qualified tensorboard resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`tensorboard`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

tensorboardRunPath(project, location, tensorboard, experiment, run)

tensorboardRunPath(project: string, location: string, tensorboard: string, experiment: string, run: string): string;

Return a fully-qualified tensorboardRun resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`tensorboard`	`string`
`experiment`	`string`
`run`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

tensorboardTimeSeriesPath(project, location, tensorboard, experiment, run, timeSeries)

tensorboardTimeSeriesPath(project: string, location: string, tensorboard: string, experiment: string, run: string, timeSeries: string): string;

Return a fully-qualified tensorboardTimeSeries resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`tensorboard`	`string`
`experiment`	`string`
`run`	`string`
`timeSeries`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

testIamPermissions(request, options, callback)

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

Returns permissions that a caller has on the specified resource. If the resource does not exist, this will return an empty set of permissions, not a NOT_FOUND error.

Note: This operation is designed to be used for building permission-aware UIs and command-line tools, not for authorization checking. This operation may "fail open" without warning.

Parameters
Name	Description
`request`	`IamProtos.google.iam.v1.TestIamPermissionsRequest` The request object that will be sent.
`options`	`CallOptions \| Callback<google.iam.v1.TestIamPermissionsResponse, google.iam.v1.TestIamPermissionsRequest \| null \| undefined, {} \| null \| undefined>` Optional parameters. You can override the default settings for this call, e.g, timeout, retries, paginations, etc. See gax.CallOptions for the details.
`callback`	`Callback<google.iam.v1.TestIamPermissionsResponse, google.iam.v1.TestIamPermissionsRequest \| null \| undefined, {} \| null \| undefined>` The function which will be called with the result of the API call. The second parameter to the callback is an object representing .

Returns
Type	Description
`Promise<[google.iam.v1.TestIamPermissionsResponse]>`	{Promise} - The promise which resolves to an array. The first element of the array is an object representing . The promise has a method named "cancel" which cancels the ongoing API call.

trainingPipelinePath(project, location, trainingPipeline)

trainingPipelinePath(project: string, location: string, trainingPipeline: string): string;

Return a fully-qualified trainingPipeline resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`trainingPipeline`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

trialPath(project, location, study, trial)

trialPath(project: string, location: string, study: string, trial: string): string;

Return a fully-qualified trial resource name string.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`study`	`string`
`trial`	`string`

Returns
Type	Description
`string`	{string} Resource name string.

updateArtifact(request, options)

updateArtifact(request?: protos.google.cloud.aiplatform.v1.IUpdateArtifactRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.IArtifact,
        protos.google.cloud.aiplatform.v1.IUpdateArtifactRequest | undefined,
        {} | undefined
    ]>;

Updates a stored Artifact.

Parameters
Name	Description
`request`	`IUpdateArtifactRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Promise<[ protos.google.cloud.aiplatform.v1.IArtifact, protos.google.cloud.aiplatform.v1.IUpdateArtifactRequest \| undefined, {} \| undefined ]>`	{Promise} - The promise which resolves to an array. The first element of the array is an object representing . Please see the documentation for more details and examples.

Example


  /**
   * 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 Artifact containing updates.
   *  The Artifact's Artifact.name google.cloud.aiplatform.v1.Artifact.name 
   *  field is used to identify the Artifact to be updated. Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
   */
  // const artifact = {}
  /**
   *  Optional. A FieldMask indicating which fields should be updated.
   */
  // const updateMask = {}
  /**
   *  If set to true, and the Artifact google.cloud.aiplatform.v1.Artifact  is
   *  not found, a new Artifact google.cloud.aiplatform.v1.Artifact  is
   *  created.
   */
  // const allowMissing = true

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

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

  async function callUpdateArtifact() {
    // Construct request
    const request = {
      artifact,
    };

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

  callUpdateArtifact();

updateArtifact(request, options, callback)

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

Parameters
Name	Description
`request`	`IUpdateArtifactRequest`
`options`	`CallOptions`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.IArtifact, protos.google.cloud.aiplatform.v1.IUpdateArtifactRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

updateArtifact(request, callback)

updateArtifact(request: protos.google.cloud.aiplatform.v1.IUpdateArtifactRequest, callback: Callback<protos.google.cloud.aiplatform.v1.IArtifact, protos.google.cloud.aiplatform.v1.IUpdateArtifactRequest | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`IUpdateArtifactRequest`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.IArtifact, protos.google.cloud.aiplatform.v1.IUpdateArtifactRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

updateContext(request, options)

updateContext(request?: protos.google.cloud.aiplatform.v1.IUpdateContextRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.IContext,
        protos.google.cloud.aiplatform.v1.IUpdateContextRequest | undefined,
        {} | undefined
    ]>;

Updates a stored Context.

Parameters
Name	Description
`request`	`IUpdateContextRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Promise<[ protos.google.cloud.aiplatform.v1.IContext, protos.google.cloud.aiplatform.v1.IUpdateContextRequest \| undefined, {} \| undefined ]>`	{Promise} - The promise which resolves to an array. The first element of the array is an object representing Context. Please see the documentation for more details and examples.

Example


  /**
   * 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 Context containing updates.
   *  The Context's Context.name google.cloud.aiplatform.v1.Context.name  field
   *  is used to identify the Context to be updated. Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
   */
  // const context = {}
  /**
   *  Optional. A FieldMask indicating which fields should be updated.
   */
  // const updateMask = {}
  /**
   *  If set to true, and the Context google.cloud.aiplatform.v1.Context  is
   *  not found, a new Context google.cloud.aiplatform.v1.Context  is created.
   */
  // const allowMissing = true

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

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

  async function callUpdateContext() {
    // Construct request
    const request = {
      context,
    };

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

  callUpdateContext();

updateContext(request, options, callback)

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

Parameters
Name	Description
`request`	`IUpdateContextRequest`
`options`	`CallOptions`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.IContext, protos.google.cloud.aiplatform.v1.IUpdateContextRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

updateContext(request, callback)

updateContext(request: protos.google.cloud.aiplatform.v1.IUpdateContextRequest, callback: Callback<protos.google.cloud.aiplatform.v1.IContext, protos.google.cloud.aiplatform.v1.IUpdateContextRequest | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`IUpdateContextRequest`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.IContext, protos.google.cloud.aiplatform.v1.IUpdateContextRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

updateExecution(request, options)

updateExecution(request?: protos.google.cloud.aiplatform.v1.IUpdateExecutionRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.IExecution,
        protos.google.cloud.aiplatform.v1.IUpdateExecutionRequest | undefined,
        {} | undefined
    ]>;

Updates a stored Execution.

Parameters
Name	Description
`request`	`IUpdateExecutionRequest` The request object that will be sent.
`options`	`CallOptions` Call options. See CallOptions for more details.

Returns
Type	Description
`Promise<[ protos.google.cloud.aiplatform.v1.IExecution, protos.google.cloud.aiplatform.v1.IUpdateExecutionRequest \| undefined, {} \| undefined ]>`	{Promise} - The promise which resolves to an array. The first element of the array is an object representing . Please see the documentation for more details and examples.

Example


  /**
   * 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 Execution containing updates.
   *  The Execution's Execution.name google.cloud.aiplatform.v1.Execution.name 
   *  field is used to identify the Execution to be updated. Format:
   *  `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
   */
  // const execution = {}
  /**
   *  Optional. A FieldMask indicating which fields should be updated.
   */
  // const updateMask = {}
  /**
   *  If set to true, and the Execution google.cloud.aiplatform.v1.Execution 
   *  is not found, a new Execution google.cloud.aiplatform.v1.Execution  is
   *  created.
   */
  // const allowMissing = true

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

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

  async function callUpdateExecution() {
    // Construct request
    const request = {
      execution,
    };

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

  callUpdateExecution();

updateExecution(request, options, callback)

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

Parameters
Name	Description
`request`	`IUpdateExecutionRequest`
`options`	`CallOptions`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.IExecution, protos.google.cloud.aiplatform.v1.IUpdateExecutionRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`

updateExecution(request, callback)

updateExecution(request: protos.google.cloud.aiplatform.v1.IUpdateExecutionRequest, callback: Callback<protos.google.cloud.aiplatform.v1.IExecution, protos.google.cloud.aiplatform.v1.IUpdateExecutionRequest | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
`request`	`IUpdateExecutionRequest`
`callback`	`Callback<protos.google.cloud.aiplatform.v1.IExecution, protos.google.cloud.aiplatform.v1.IUpdateExecutionRequest \| null \| undefined, {} \| null \| undefined>`

Returns
Type	Description
`void`