Class v1beta1.EndpointServiceClient (3.10.1)

A service for managing Vertex AI's Endpoints. v1beta1

Package

@google-cloud/aiplatform

Constructors

(constructor)(opts, gaxInstance)

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

Construct an instance of EndpointServiceClient.

Parameters
NameDescription
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 EndpointServiceClient({fallback: true}, 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;

endpointServiceStub

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

iamClient

iamClient: IamClient;

innerApiCalls

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

locationsClient

locationsClient: LocationsClient;

operationsClient

operationsClient: gax.OperationsClient;

pathTemplates

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

port

static get port(): number;

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

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
NameDescription
project string
location string
dataset string
dataItem string
annotation string
Returns
TypeDescription
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
NameDescription
project string
location string
dataset string
annotationSpec string
Returns
TypeDescription
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
NameDescription
project string
location string
metadataStore string
artifact string
Returns
TypeDescription
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
NameDescription
project string
location string
batchPredictionJob string
Returns
TypeDescription
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
NameDescription
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
TypeDescription
Promise<protos.google.protobuf.Empty>
Example

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

checkCreateEndpointProgress(name)

checkCreateEndpointProgress(name: string): Promise<LROperation<protos.google.cloud.aiplatform.v1beta1.Endpoint, protos.google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata>>;

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

Parameter
NameDescription
name string

The operation name that will be passed.

Returns
TypeDescription
Promise<LROperation<protos.google.cloud.aiplatform.v1beta1.Endpoint, protos.google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata>>

{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 to create the Endpoint in.
   *  Format: `projects/{project}/locations/{location}`
   */
  // const parent = 'abc123'
  /**
   *  Required. The Endpoint to create.
   */
  // const endpoint = {}
  /**
   *  Immutable. The ID to use for endpoint, which will become the final
   *  component of the endpoint resource name.
   *  If not provided, Vertex AI will generate a value for this ID.
   *  If the first character is a letter, this value may be up to 63 characters,
   *  and valid characters are `[a-z0-9-]`. The last character must be a letter
   *  or number.
   *  If the first character is a number, this value may be up to 9 characters,
   *  and valid characters are `[0-9]` with no leading zeros.
   *  When using HTTP/JSON, this field is populated
   *  based on a query string argument, such as `?endpoint_id=12345`. This is the
   *  fallback for fields that are not included in either the URI or the body.
   */
  // const endpointId = 'abc123'

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

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

  async function callCreateEndpoint() {
    // Construct request
    const request = {
      parent,
      endpoint,
      endpointId,
    };

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

  callCreateEndpoint();

checkDeleteEndpointProgress(name)

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

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

Parameter
NameDescription
name string

The operation name that will be passed.

Returns
TypeDescription
Promise<LROperation<protos.google.protobuf.Empty, protos.google.cloud.aiplatform.v1beta1.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 name of the Endpoint resource to be deleted.
   *  Format:
   *  `projects/{project}/locations/{location}/endpoints/{endpoint}`
   */
  // const name = 'abc123'

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

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

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

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

  callDeleteEndpoint();

checkDeployModelProgress(name)

checkDeployModelProgress(name: string): Promise<LROperation<protos.google.cloud.aiplatform.v1beta1.DeployModelResponse, protos.google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata>>;

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

Parameter
NameDescription
name string

The operation name that will be passed.

Returns
TypeDescription
Promise<LROperation<protos.google.cloud.aiplatform.v1beta1.DeployModelResponse, protos.google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata>>

{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 name of the Endpoint resource into which to deploy a Model.
   *  Format:
   *  `projects/{project}/locations/{location}/endpoints/{endpoint}`
   */
  // const endpoint = 'abc123'
  /**
   *  Required. The DeployedModel to be created within the Endpoint. Note that
   *  Endpoint.traffic_split google.cloud.aiplatform.v1beta1.Endpoint.traffic_split 
   *  must be updated for the DeployedModel to start receiving traffic, either as
   *  part of this call, or via
   *  EndpointService.UpdateEndpoint google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpoint.
   */
  // const deployedModel = {}
  /**
   *  A map from a DeployedModel's ID to the percentage of this Endpoint's
   *  traffic that should be forwarded to that DeployedModel.
   *  If this field is non-empty, then the Endpoint's
   *  traffic_split google.cloud.aiplatform.v1beta1.Endpoint.traffic_split 
   *  will be overwritten with it. To refer to the ID of the just being deployed
   *  Model, a "0" should be used, and the actual ID of the new DeployedModel
   *  will be filled in its place by this method. The traffic percentage values
   *  must add up to 100.
   *  If this field is empty, then the Endpoint's
   *  traffic_split google.cloud.aiplatform.v1beta1.Endpoint.traffic_split  is
   *  not updated.
   */
  // const trafficSplit = [1,2,3,4]

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

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

  async function callDeployModel() {
    // Construct request
    const request = {
      endpoint,
      deployedModel,
    };

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

  callDeployModel();

checkMutateDeployedModelProgress(name)

checkMutateDeployedModelProgress(name: string): Promise<LROperation<protos.google.cloud.aiplatform.v1beta1.MutateDeployedModelResponse, protos.google.cloud.aiplatform.v1beta1.MutateDeployedModelOperationMetadata>>;

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

Parameter
NameDescription
name string

The operation name that will be passed.

Returns
TypeDescription
Promise<LROperation<protos.google.cloud.aiplatform.v1beta1.MutateDeployedModelResponse, protos.google.cloud.aiplatform.v1beta1.MutateDeployedModelOperationMetadata>>

{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 name of the Endpoint resource into which to mutate a
   *  DeployedModel. Format:
   *  `projects/{project}/locations/{location}/endpoints/{endpoint}`
   */
  // const endpoint = 'abc123'
  /**
   *  Required. The DeployedModel to be mutated within the Endpoint. Only the
   *  following fields can be mutated:
   *  * `min_replica_count` in either
   *  DedicatedResources google.cloud.aiplatform.v1beta1.DedicatedResources  or
   *  AutomaticResources google.cloud.aiplatform.v1beta1.AutomaticResources 
   *  * `max_replica_count` in either
   *  DedicatedResources google.cloud.aiplatform.v1beta1.DedicatedResources  or
   *  AutomaticResources google.cloud.aiplatform.v1beta1.AutomaticResources 
   *  * autoscaling_metric_specs google.cloud.aiplatform.v1beta1.DedicatedResources.autoscaling_metric_specs 
   *  * `disable_container_logging` (v1 only)
   *  * `enable_container_logging` (v1beta1 only)
   */
  // const deployedModel = {}
  /**
   *  Required. The update mask applies to the resource. See
   *  google.protobuf.FieldMask google.protobuf.FieldMask.
   */
  // const updateMask = {}

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

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

  async function callMutateDeployedModel() {
    // Construct request
    const request = {
      endpoint,
      deployedModel,
      updateMask,
    };

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

  callMutateDeployedModel();

checkUndeployModelProgress(name)

checkUndeployModelProgress(name: string): Promise<LROperation<protos.google.cloud.aiplatform.v1beta1.UndeployModelResponse, protos.google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata>>;

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

Parameter
NameDescription
name string

The operation name that will be passed.

Returns
TypeDescription
Promise<LROperation<protos.google.cloud.aiplatform.v1beta1.UndeployModelResponse, protos.google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata>>

{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 name of the Endpoint resource from which to undeploy a Model.
   *  Format:
   *  `projects/{project}/locations/{location}/endpoints/{endpoint}`
   */
  // const endpoint = 'abc123'
  /**
   *  Required. The ID of the DeployedModel to be undeployed from the Endpoint.
   */
  // const deployedModelId = 'abc123'
  /**
   *  If this field is provided, then the Endpoint's
   *  traffic_split google.cloud.aiplatform.v1beta1.Endpoint.traffic_split 
   *  will be overwritten with it. If last DeployedModel is being undeployed from
   *  the Endpoint, the Endpoint.traffic_split  will always end up empty when
   *  this call returns. A DeployedModel will be successfully undeployed only if
   *  it doesn't have any traffic assigned to it when this method executes, or if
   *  this field unassigns any traffic to it.
   */
  // const trafficSplit = [1,2,3,4]

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

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

  async function callUndeployModel() {
    // Construct request
    const request = {
      endpoint,
      deployedModelId,
    };

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

  callUndeployModel();

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
TypeDescription
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
NameDescription
project string
location string
metadataStore string
context string
Returns
TypeDescription
string

{string} Resource name string.

createEndpoint(request, options)

createEndpoint(request?: protos.google.cloud.aiplatform.v1beta1.ICreateEndpointRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.cloud.aiplatform.v1beta1.IEndpoint, protos.google.cloud.aiplatform.v1beta1.ICreateEndpointOperationMetadata>,
        protos.google.longrunning.IOperation | undefined,
        {} | undefined
    ]>;

Creates an Endpoint.

Parameters
NameDescription
request ICreateEndpointRequest

The request object that will be sent.

options CallOptions

Call options. See CallOptions for more details.

Returns
TypeDescription
Promise<[ LROperation<protos.google.cloud.aiplatform.v1beta1.IEndpoint, protos.google.cloud.aiplatform.v1beta1.ICreateEndpointOperationMetadata>, 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 to create the Endpoint in.
   *  Format: `projects/{project}/locations/{location}`
   */
  // const parent = 'abc123'
  /**
   *  Required. The Endpoint to create.
   */
  // const endpoint = {}
  /**
   *  Immutable. The ID to use for endpoint, which will become the final
   *  component of the endpoint resource name.
   *  If not provided, Vertex AI will generate a value for this ID.
   *  If the first character is a letter, this value may be up to 63 characters,
   *  and valid characters are `[a-z0-9-]`. The last character must be a letter
   *  or number.
   *  If the first character is a number, this value may be up to 9 characters,
   *  and valid characters are `[0-9]` with no leading zeros.
   *  When using HTTP/JSON, this field is populated
   *  based on a query string argument, such as `?endpoint_id=12345`. This is the
   *  fallback for fields that are not included in either the URI or the body.
   */
  // const endpointId = 'abc123'

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

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

  async function callCreateEndpoint() {
    // Construct request
    const request = {
      parent,
      endpoint,
      endpointId,
    };

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

  callCreateEndpoint();

createEndpoint(request, options, callback)

createEndpoint(request: protos.google.cloud.aiplatform.v1beta1.ICreateEndpointRequest, options: CallOptions, callback: Callback<LROperation<protos.google.cloud.aiplatform.v1beta1.IEndpoint, protos.google.cloud.aiplatform.v1beta1.ICreateEndpointOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;
Parameters
NameDescription
request ICreateEndpointRequest
options CallOptions
callback Callback<LROperation<protos.google.cloud.aiplatform.v1beta1.IEndpoint, protos.google.cloud.aiplatform.v1beta1.ICreateEndpointOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>
Returns
TypeDescription
void

createEndpoint(request, callback)

createEndpoint(request: protos.google.cloud.aiplatform.v1beta1.ICreateEndpointRequest, callback: Callback<LROperation<protos.google.cloud.aiplatform.v1beta1.IEndpoint, protos.google.cloud.aiplatform.v1beta1.ICreateEndpointOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;
Parameters
NameDescription
request ICreateEndpointRequest
callback Callback<LROperation<protos.google.cloud.aiplatform.v1beta1.IEndpoint, protos.google.cloud.aiplatform.v1beta1.ICreateEndpointOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>
Returns
TypeDescription
void

customJobPath(project, location, customJob)

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

Return a fully-qualified customJob resource name string.

Parameters
NameDescription
project string
location string
customJob string
Returns
TypeDescription
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
NameDescription
project string
location string
dataset string
dataItem string
Returns
TypeDescription
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
NameDescription
project string
location string
dataLabelingJob string
Returns
TypeDescription
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
NameDescription
project string
location string
dataset string
Returns
TypeDescription
string

{string} Resource name string.

datasetVersionPath(project, location, dataset, datasetVersion)

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

Return a fully-qualified datasetVersion resource name string.

Parameters
NameDescription
project string
location string
dataset string
datasetVersion string
Returns
TypeDescription
string

{string} Resource name string.

deleteEndpoint(request, options)

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

Deletes an Endpoint.

Parameters
NameDescription
request IDeleteEndpointRequest

The request object that will be sent.

options CallOptions

Call options. See CallOptions for more details.

Returns
TypeDescription
Promise<[ LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1beta1.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 name of the Endpoint resource to be deleted.
   *  Format:
   *  `projects/{project}/locations/{location}/endpoints/{endpoint}`
   */
  // const name = 'abc123'

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

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

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

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

  callDeleteEndpoint();

deleteEndpoint(request, options, callback)

deleteEndpoint(request: protos.google.cloud.aiplatform.v1beta1.IDeleteEndpointRequest, options: CallOptions, callback: Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1beta1.IDeleteOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;
Parameters
NameDescription
request IDeleteEndpointRequest
options CallOptions
callback Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1beta1.IDeleteOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>
Returns
TypeDescription
void

deleteEndpoint(request, callback)

deleteEndpoint(request: protos.google.cloud.aiplatform.v1beta1.IDeleteEndpointRequest, callback: Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1beta1.IDeleteOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;
Parameters
NameDescription
request IDeleteEndpointRequest
callback Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.aiplatform.v1beta1.IDeleteOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>
Returns
TypeDescription
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
NameDescription
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
TypeDescription
Promise<protos.google.protobuf.Empty>
Example

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

deploymentResourcePoolPath(project, location, deploymentResourcePool)

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

Return a fully-qualified deploymentResourcePool resource name string.

Parameters
NameDescription
project string
location string
deploymentResourcePool string
Returns
TypeDescription
string

{string} Resource name string.

deployModel(request, options)

deployModel(request?: protos.google.cloud.aiplatform.v1beta1.IDeployModelRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.cloud.aiplatform.v1beta1.IDeployModelResponse, protos.google.cloud.aiplatform.v1beta1.IDeployModelOperationMetadata>,
        protos.google.longrunning.IOperation | undefined,
        {} | undefined
    ]>;

Deploys a Model into this Endpoint, creating a DeployedModel within it.

Parameters
NameDescription
request IDeployModelRequest

The request object that will be sent.

options CallOptions

Call options. See CallOptions for more details.

Returns
TypeDescription
Promise<[ LROperation<protos.google.cloud.aiplatform.v1beta1.IDeployModelResponse, protos.google.cloud.aiplatform.v1beta1.IDeployModelOperationMetadata>, 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 name of the Endpoint resource into which to deploy a Model.
   *  Format:
   *  `projects/{project}/locations/{location}/endpoints/{endpoint}`
   */
  // const endpoint = 'abc123'
  /**
   *  Required. The DeployedModel to be created within the Endpoint. Note that
   *  Endpoint.traffic_split google.cloud.aiplatform.v1beta1.Endpoint.traffic_split 
   *  must be updated for the DeployedModel to start receiving traffic, either as
   *  part of this call, or via
   *  EndpointService.UpdateEndpoint google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpoint.
   */
  // const deployedModel = {}
  /**
   *  A map from a DeployedModel's ID to the percentage of this Endpoint's
   *  traffic that should be forwarded to that DeployedModel.
   *  If this field is non-empty, then the Endpoint's
   *  traffic_split google.cloud.aiplatform.v1beta1.Endpoint.traffic_split 
   *  will be overwritten with it. To refer to the ID of the just being deployed
   *  Model, a "0" should be used, and the actual ID of the new DeployedModel
   *  will be filled in its place by this method. The traffic percentage values
   *  must add up to 100.
   *  If this field is empty, then the Endpoint's
   *  traffic_split google.cloud.aiplatform.v1beta1.Endpoint.traffic_split  is
   *  not updated.
   */
  // const trafficSplit = [1,2,3,4]

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

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

  async function callDeployModel() {
    // Construct request
    const request = {
      endpoint,
      deployedModel,
    };

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

  callDeployModel();

deployModel(request, options, callback)

deployModel(request: protos.google.cloud.aiplatform.v1beta1.IDeployModelRequest, options: CallOptions, callback: Callback<LROperation<protos.google.cloud.aiplatform.v1beta1.IDeployModelResponse, protos.google.cloud.aiplatform.v1beta1.IDeployModelOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;
Parameters
NameDescription
request IDeployModelRequest
options CallOptions
callback Callback<LROperation<protos.google.cloud.aiplatform.v1beta1.IDeployModelResponse, protos.google.cloud.aiplatform.v1beta1.IDeployModelOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>
Returns
TypeDescription
void

deployModel(request, callback)

deployModel(request: protos.google.cloud.aiplatform.v1beta1.IDeployModelRequest, callback: Callback<LROperation<protos.google.cloud.aiplatform.v1beta1.IDeployModelResponse, protos.google.cloud.aiplatform.v1beta1.IDeployModelOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;
Parameters
NameDescription
request IDeployModelRequest
callback Callback<LROperation<protos.google.cloud.aiplatform.v1beta1.IDeployModelResponse, protos.google.cloud.aiplatform.v1beta1.IDeployModelOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>
Returns
TypeDescription
void

entityTypePath(project, location, featurestore, entityType)

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

Return a fully-qualified entityType resource name string.

Parameters
NameDescription
project string
location string
featurestore string
entityType string
Returns
TypeDescription
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
NameDescription
project string
location string
metadataStore string
execution string
Returns
TypeDescription
string

{string} Resource name string.

featureGroupPath(project, location, featureGroup)

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

Return a fully-qualified featureGroup resource name string.

Parameters
NameDescription
project string
location string
featureGroup string
Returns
TypeDescription
string

{string} Resource name string.

featureOnlineStorePath(project, location, featureOnlineStore)

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

Return a fully-qualified featureOnlineStore resource name string.

Parameters
NameDescription
project string
location string
featureOnlineStore string
Returns
TypeDescription
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
NameDescription
project string
location string
featurestore string
Returns
TypeDescription
string

{string} Resource name string.

featureViewPath(project, location, featureOnlineStore, featureView)

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

Return a fully-qualified featureView resource name string.

Parameters
NameDescription
project string
location string
featureOnlineStore string
featureView string
Returns
TypeDescription
string

{string} Resource name string.

featureViewSyncPath(project, location, featureOnlineStore, featureView)

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

Return a fully-qualified featureViewSync resource name string.

Parameters
NameDescription
project string
location string
featureOnlineStore string
featureView string
Returns
TypeDescription
string

{string} Resource name string.

getEndpoint(request, options)

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

Gets an Endpoint.

Parameters
NameDescription
request IGetEndpointRequest

The request object that will be sent.

options CallOptions

Call options. See CallOptions for more details.

Returns
TypeDescription
Promise<[ protos.google.cloud.aiplatform.v1beta1.IEndpoint, protos.google.cloud.aiplatform.v1beta1.IGetEndpointRequest | undefined, {} | undefined ]>

{Promise} - The promise which resolves to an array. The first element of the array is an object representing Endpoint. 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 name of the Endpoint resource.
   *  Format:
   *  `projects/{project}/locations/{location}/endpoints/{endpoint}`
   */
  // const name = 'abc123'

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

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

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

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

  callGetEndpoint();

getEndpoint(request, options, callback)

getEndpoint(request: protos.google.cloud.aiplatform.v1beta1.IGetEndpointRequest, options: CallOptions, callback: Callback<protos.google.cloud.aiplatform.v1beta1.IEndpoint, protos.google.cloud.aiplatform.v1beta1.IGetEndpointRequest | null | undefined, {} | null | undefined>): void;
Parameters
NameDescription
request IGetEndpointRequest
options CallOptions
callback Callback<protos.google.cloud.aiplatform.v1beta1.IEndpoint, protos.google.cloud.aiplatform.v1beta1.IGetEndpointRequest | null | undefined, {} | null | undefined>
Returns
TypeDescription
void

getEndpoint(request, callback)

getEndpoint(request: protos.google.cloud.aiplatform.v1beta1.IGetEndpointRequest, callback: Callback<protos.google.cloud.aiplatform.v1beta1.IEndpoint, protos.google.cloud.aiplatform.v1beta1.IGetEndpointRequest | null | undefined, {} | null | undefined>): void;
Parameters
NameDescription
request IGetEndpointRequest
callback Callback<protos.google.cloud.aiplatform.v1beta1.IEndpoint, protos.google.cloud.aiplatform.v1beta1.IGetEndpointRequest | null | undefined, {} | null | undefined>
Returns
TypeDescription
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
NameDescription
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
TypeDescription
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
NameDescription
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
TypeDescription
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);

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
NameDescription
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
TypeDescription
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
TypeDescription
Promise<string>

getProjectId(callback)

getProjectId(callback: Callback<string, undefined, undefined>): void;
Parameter
NameDescription
callback Callback<string, undefined, undefined>
Returns
TypeDescription
void

hyperparameterTuningJobPath(project, location, hyperparameterTuningJob)

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

Return a fully-qualified hyperparameterTuningJob resource name string.

Parameters
NameDescription
project string
location string
hyperparameterTuningJob string
Returns
TypeDescription
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
NameDescription
project string
location string
indexEndpoint string
Returns
TypeDescription
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
NameDescription
project string
location string
index string
Returns
TypeDescription
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
TypeDescription
Promise<{ [name: string]: Function; }>

{Promise} A promise that resolves to an authenticated service stub.

listEndpoints(request, options)

listEndpoints(request?: protos.google.cloud.aiplatform.v1beta1.IListEndpointsRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1beta1.IEndpoint[],
        protos.google.cloud.aiplatform.v1beta1.IListEndpointsRequest | null,
        protos.google.cloud.aiplatform.v1beta1.IListEndpointsResponse
    ]>;

Lists Endpoints in a Location.

Parameters
NameDescription
request IListEndpointsRequest

The request object that will be sent.

options CallOptions

Call options. See CallOptions for more details.

Returns
TypeDescription
Promise<[ protos.google.cloud.aiplatform.v1beta1.IEndpoint[], protos.google.cloud.aiplatform.v1beta1.IListEndpointsRequest | null, protos.google.cloud.aiplatform.v1beta1.IListEndpointsResponse ]>

{Promise} - The promise which resolves to an array. The first element of the array is Array of Endpoint. 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 listEndpointsAsync() method described below for async iteration which you can stop as needed. Please see the documentation for more details and examples.

listEndpoints(request, options, callback)

listEndpoints(request: protos.google.cloud.aiplatform.v1beta1.IListEndpointsRequest, options: CallOptions, callback: PaginationCallback<protos.google.cloud.aiplatform.v1beta1.IListEndpointsRequest, protos.google.cloud.aiplatform.v1beta1.IListEndpointsResponse | null | undefined, protos.google.cloud.aiplatform.v1beta1.IEndpoint>): void;
Parameters
NameDescription
request IListEndpointsRequest
options CallOptions
callback PaginationCallback<protos.google.cloud.aiplatform.v1beta1.IListEndpointsRequest, protos.google.cloud.aiplatform.v1beta1.IListEndpointsResponse | null | undefined, protos.google.cloud.aiplatform.v1beta1.IEndpoint>
Returns
TypeDescription
void

listEndpoints(request, callback)

listEndpoints(request: protos.google.cloud.aiplatform.v1beta1.IListEndpointsRequest, callback: PaginationCallback<protos.google.cloud.aiplatform.v1beta1.IListEndpointsRequest, protos.google.cloud.aiplatform.v1beta1.IListEndpointsResponse | null | undefined, protos.google.cloud.aiplatform.v1beta1.IEndpoint>): void;
Parameters
NameDescription
request IListEndpointsRequest
callback PaginationCallback<protos.google.cloud.aiplatform.v1beta1.IListEndpointsRequest, protos.google.cloud.aiplatform.v1beta1.IListEndpointsResponse | null | undefined, protos.google.cloud.aiplatform.v1beta1.IEndpoint>
Returns
TypeDescription
void

listEndpointsAsync(request, options)

listEndpointsAsync(request?: protos.google.cloud.aiplatform.v1beta1.IListEndpointsRequest, options?: CallOptions): AsyncIterable<protos.google.cloud.aiplatform.v1beta1.IEndpoint>;

Equivalent to listEndpoints, but returns an iterable object.

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

Parameters
NameDescription
request IListEndpointsRequest

The request object that will be sent.

options CallOptions

Call options. See CallOptions for more details.

Returns
TypeDescription
AsyncIterable<protos.google.cloud.aiplatform.v1beta1.IEndpoint>

{Object} An iterable Object that allows async iteration. When you iterate the returned iterable, each element will be an object representing Endpoint. 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 resource name of the Location from which to list the
   *  Endpoints. Format: `projects/{project}/locations/{location}`
   */
  // const parent = 'abc123'
  /**
   *  Optional. An expression for filtering the results of the request. For field
   *  names both snake_case and camelCase are supported.
   *    * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
   *      i.e. the last segment of the Endpoint's resource
   *      name google.cloud.aiplatform.v1beta1.Endpoint.name.
   *    * `display_name` supports = and, !=
   *    * `labels` supports general map functions that is:
   *      * `labels.key=value` - key:value equality
   *      * `labels.key:* or labels:key - key existence
   *      * A key including a space must be quoted. `labels."a key"`.
   *  Some examples:
   *    * `endpoint=1`
   *    * `displayName="myDisplayName"`
   *    * `labels.myKey="myValue"`
   */
  // const filter = 'abc123'
  /**
   *  Optional. The standard list page size.
   */
  // const pageSize = 1234
  /**
   *  Optional. The standard list page token.
   *  Typically obtained via
   *  ListEndpointsResponse.next_page_token google.cloud.aiplatform.v1beta1.ListEndpointsResponse.next_page_token 
   *  of the previous
   *  EndpointService.ListEndpoints google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints 
   *  call.
   */
  // const pageToken = 'abc123'
  /**
   *  Optional. Mask specifying which fields to read.
   */
  // const readMask = {}

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

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

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

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

  callListEndpoints();

listEndpointsStream(request, options)

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

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

Parameters
NameDescription
request IListEndpointsRequest

The request object that will be sent.

options CallOptions

Call options. See CallOptions for more details.

Returns
TypeDescription
Transform

{Stream} An object stream which emits an object representing Endpoint 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 listEndpointsAsync() 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
NameDescription
request LocationProtos.google.cloud.location.IListLocationsRequest

The request object that will be sent.

options CallOptions

Call options. See CallOptions for more details.

Returns
TypeDescription
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
}

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
NameDescription
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
TypeDescription
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
NameDescription
project string
location string
Returns
TypeDescription
string

{string} Resource name string.

matchAnnotationFromAnnotationName(annotationName)

matchAnnotationFromAnnotationName(annotationName: string): string | number;

Parse the annotation from Annotation resource.

Parameter
NameDescription
annotationName string

A fully-qualified path representing Annotation resource.

Returns
TypeDescription
string | number

{string} A string representing the annotation.

matchAnnotationSpecFromAnnotationSpecName(annotationSpecName)

matchAnnotationSpecFromAnnotationSpecName(annotationSpecName: string): string | number;

Parse the annotation_spec from AnnotationSpec resource.

Parameter
NameDescription
annotationSpecName string

A fully-qualified path representing AnnotationSpec resource.

Returns
TypeDescription
string | number

{string} A string representing the annotation_spec.

matchArtifactFromArtifactName(artifactName)

matchArtifactFromArtifactName(artifactName: string): string | number;

Parse the artifact from Artifact resource.

Parameter
NameDescription
artifactName string

A fully-qualified path representing Artifact resource.

Returns
TypeDescription
string | number

{string} A string representing the artifact.

matchBatchPredictionJobFromBatchPredictionJobName(batchPredictionJobName)

matchBatchPredictionJobFromBatchPredictionJobName(batchPredictionJobName: string): string | number;

Parse the batch_prediction_job from BatchPredictionJob resource.

Parameter
NameDescription
batchPredictionJobName string

A fully-qualified path representing BatchPredictionJob resource.

Returns
TypeDescription
string | number

{string} A string representing the batch_prediction_job.

matchContextFromContextName(contextName)

matchContextFromContextName(contextName: string): string | number;

Parse the context from Context resource.

Parameter
NameDescription
contextName string

A fully-qualified path representing Context resource.

Returns
TypeDescription
string | number

{string} A string representing the context.

matchCustomJobFromCustomJobName(customJobName)

matchCustomJobFromCustomJobName(customJobName: string): string | number;

Parse the custom_job from CustomJob resource.

Parameter
NameDescription
customJobName string

A fully-qualified path representing CustomJob resource.

Returns
TypeDescription
string | number

{string} A string representing the custom_job.

matchDataItemFromAnnotationName(annotationName)

matchDataItemFromAnnotationName(annotationName: string): string | number;

Parse the data_item from Annotation resource.

Parameter
NameDescription
annotationName string

A fully-qualified path representing Annotation resource.

Returns
TypeDescription
string | number

{string} A string representing the data_item.

matchDataItemFromDataItemName(dataItemName)

matchDataItemFromDataItemName(dataItemName: string): string | number;

Parse the data_item from DataItem resource.

Parameter
NameDescription
dataItemName string

A fully-qualified path representing DataItem resource.

Returns
TypeDescription
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
NameDescription
dataLabelingJobName string

A fully-qualified path representing DataLabelingJob resource.

Returns
TypeDescription
string | number

{string} A string representing the data_labeling_job.

matchDatasetFromAnnotationName(annotationName)

matchDatasetFromAnnotationName(annotationName: string): string | number;

Parse the dataset from Annotation resource.

Parameter
NameDescription
annotationName string

A fully-qualified path representing Annotation resource.

Returns
TypeDescription
string | number

{string} A string representing the dataset.

matchDatasetFromAnnotationSpecName(annotationSpecName)

matchDatasetFromAnnotationSpecName(annotationSpecName: string): string | number;

Parse the dataset from AnnotationSpec resource.

Parameter
NameDescription
annotationSpecName string

A fully-qualified path representing AnnotationSpec resource.

Returns
TypeDescription
string | number

{string} A string representing the dataset.

matchDatasetFromDataItemName(dataItemName)

matchDatasetFromDataItemName(dataItemName: string): string | number;

Parse the dataset from DataItem resource.

Parameter
NameDescription
dataItemName string

A fully-qualified path representing DataItem resource.

Returns
TypeDescription
string | number

{string} A string representing the dataset.

matchDatasetFromDatasetName(datasetName)

matchDatasetFromDatasetName(datasetName: string): string | number;

Parse the dataset from Dataset resource.

Parameter
NameDescription
datasetName string

A fully-qualified path representing Dataset resource.

Returns
TypeDescription
string | number

{string} A string representing the dataset.

matchDatasetFromDatasetVersionName(datasetVersionName)

matchDatasetFromDatasetVersionName(datasetVersionName: string): string | number;

Parse the dataset from DatasetVersion resource.

Parameter
NameDescription
datasetVersionName string

A fully-qualified path representing DatasetVersion resource.

Returns
TypeDescription
string | number

{string} A string representing the dataset.

matchDatasetFromSavedQueryName(savedQueryName)

matchDatasetFromSavedQueryName(savedQueryName: string): string | number;

Parse the dataset from SavedQuery resource.

Parameter
NameDescription
savedQueryName string

A fully-qualified path representing SavedQuery resource.

Returns
TypeDescription
string | number

{string} A string representing the dataset.

matchDatasetVersionFromDatasetVersionName(datasetVersionName)

matchDatasetVersionFromDatasetVersionName(datasetVersionName: string): string | number;

Parse the dataset_version from DatasetVersion resource.

Parameter
NameDescription
datasetVersionName string

A fully-qualified path representing DatasetVersion resource.

Returns
TypeDescription
string | number

{string} A string representing the dataset_version.

matchDeploymentResourcePoolFromDeploymentResourcePoolName(deploymentResourcePoolName)

matchDeploymentResourcePoolFromDeploymentResourcePoolName(deploymentResourcePoolName: string): string | number;

Parse the deployment_resource_pool from DeploymentResourcePool resource.

Parameter
NameDescription
deploymentResourcePoolName string

A fully-qualified path representing DeploymentResourcePool resource.

Returns
TypeDescription
string | number

{string} A string representing the deployment_resource_pool.

matchEndpointFromProjectLocationEndpointName(projectLocationEndpointName)

matchEndpointFromProjectLocationEndpointName(projectLocationEndpointName: string): string | number;

Parse the endpoint from ProjectLocationEndpoint resource.

Parameter
NameDescription
projectLocationEndpointName string

A fully-qualified path representing project_location_endpoint resource.

Returns
TypeDescription
string | number

{string} A string representing the endpoint.

matchEntityTypeFromEntityTypeName(entityTypeName)

matchEntityTypeFromEntityTypeName(entityTypeName: string): string | number;

Parse the entity_type from EntityType resource.

Parameter
NameDescription
entityTypeName string

A fully-qualified path representing EntityType resource.

Returns
TypeDescription
string | number

{string} A string representing the entity_type.

matchEntityTypeFromProjectLocationFeaturestoreEntityTypeFeatureName(projectLocationFeaturestoreEntityTypeFeatureName)

matchEntityTypeFromProjectLocationFeaturestoreEntityTypeFeatureName(projectLocationFeaturestoreEntityTypeFeatureName: string): string | number;

Parse the entity_type from ProjectLocationFeaturestoreEntityTypeFeature resource.

Parameter
NameDescription
projectLocationFeaturestoreEntityTypeFeatureName string

A fully-qualified path representing project_location_featurestore_entity_type_feature resource.

Returns
TypeDescription
string | number

{string} A string representing the entity_type.

matchEvaluationFromModelEvaluationName(modelEvaluationName)

matchEvaluationFromModelEvaluationName(modelEvaluationName: string): string | number;

Parse the evaluation from ModelEvaluation resource.

Parameter
NameDescription
modelEvaluationName string

A fully-qualified path representing ModelEvaluation resource.

Returns
TypeDescription
string | number

{string} A string representing the evaluation.

matchEvaluationFromModelEvaluationSliceName(modelEvaluationSliceName)

matchEvaluationFromModelEvaluationSliceName(modelEvaluationSliceName: string): string | number;

Parse the evaluation from ModelEvaluationSlice resource.

Parameter
NameDescription
modelEvaluationSliceName string

A fully-qualified path representing ModelEvaluationSlice resource.

Returns
TypeDescription
string | number

{string} A string representing the evaluation.

matchExecutionFromExecutionName(executionName)

matchExecutionFromExecutionName(executionName: string): string | number;

Parse the execution from Execution resource.

Parameter
NameDescription
executionName string

A fully-qualified path representing Execution resource.

Returns
TypeDescription
string | number

{string} A string representing the execution.

matchExperimentFromTensorboardExperimentName(tensorboardExperimentName)

matchExperimentFromTensorboardExperimentName(tensorboardExperimentName: string): string | number;

Parse the experiment from TensorboardExperiment resource.

Parameter
NameDescription
tensorboardExperimentName string

A fully-qualified path representing TensorboardExperiment resource.

Returns
TypeDescription
string | number

{string} A string representing the experiment.

matchExperimentFromTensorboardRunName(tensorboardRunName)

matchExperimentFromTensorboardRunName(tensorboardRunName: string): string | number;

Parse the experiment from TensorboardRun resource.

Parameter
NameDescription
tensorboardRunName string

A fully-qualified path representing TensorboardRun resource.

Returns
TypeDescription
string | number

{string} A string representing the experiment.

matchExperimentFromTensorboardTimeSeriesName(tensorboardTimeSeriesName)

matchExperimentFromTensorboardTimeSeriesName(tensorboardTimeSeriesName: string): string | number;

Parse the experiment from TensorboardTimeSeries resource.

Parameter
NameDescription
tensorboardTimeSeriesName string

A fully-qualified path representing TensorboardTimeSeries resource.

Returns
TypeDescription
string | number

{string} A string representing the experiment.

matchFeatureFromProjectLocationFeatureGroupFeatureName(projectLocationFeatureGroupFeatureName)

matchFeatureFromProjectLocationFeatureGroupFeatureName(projectLocationFeatureGroupFeatureName: string): string | number;

Parse the feature from ProjectLocationFeatureGroupFeature resource.

Parameter
NameDescription
projectLocationFeatureGroupFeatureName string

A fully-qualified path representing project_location_feature_group_feature resource.

Returns
TypeDescription
string | number

{string} A string representing the feature.

matchFeatureFromProjectLocationFeaturestoreEntityTypeFeatureName(projectLocationFeaturestoreEntityTypeFeatureName)

matchFeatureFromProjectLocationFeaturestoreEntityTypeFeatureName(projectLocationFeaturestoreEntityTypeFeatureName: string): string | number;

Parse the feature from ProjectLocationFeaturestoreEntityTypeFeature resource.

Parameter
NameDescription
projectLocationFeaturestoreEntityTypeFeatureName string

A fully-qualified path representing project_location_featurestore_entity_type_feature resource.

Returns
TypeDescription
string | number

{string} A string representing the feature.

matchFeatureGroupFromFeatureGroupName(featureGroupName)

matchFeatureGroupFromFeatureGroupName(featureGroupName: string): string | number;

Parse the feature_group from FeatureGroup resource.

Parameter
NameDescription
featureGroupName string

A fully-qualified path representing FeatureGroup resource.

Returns
TypeDescription
string | number

{string} A string representing the feature_group.

matchFeatureGroupFromProjectLocationFeatureGroupFeatureName(projectLocationFeatureGroupFeatureName)

matchFeatureGroupFromProjectLocationFeatureGroupFeatureName(projectLocationFeatureGroupFeatureName: string): string | number;

Parse the feature_group from ProjectLocationFeatureGroupFeature resource.

Parameter
NameDescription
projectLocationFeatureGroupFeatureName string

A fully-qualified path representing project_location_feature_group_feature resource.

Returns
TypeDescription
string | number

{string} A string representing the feature_group.

matchFeatureOnlineStoreFromFeatureOnlineStoreName(featureOnlineStoreName)

matchFeatureOnlineStoreFromFeatureOnlineStoreName(featureOnlineStoreName: string): string | number;

Parse the feature_online_store from FeatureOnlineStore resource.

Parameter
NameDescription
featureOnlineStoreName string

A fully-qualified path representing FeatureOnlineStore resource.

Returns
TypeDescription
string | number

{string} A string representing the feature_online_store.

matchFeatureOnlineStoreFromFeatureViewName(featureViewName)

matchFeatureOnlineStoreFromFeatureViewName(featureViewName: string): string | number;

Parse the feature_online_store from FeatureView resource.

Parameter
NameDescription
featureViewName string

A fully-qualified path representing FeatureView resource.

Returns
TypeDescription
string | number

{string} A string representing the feature_online_store.

matchFeatureOnlineStoreFromFeatureViewSyncName(featureViewSyncName)

matchFeatureOnlineStoreFromFeatureViewSyncName(featureViewSyncName: string): string | number;

Parse the feature_online_store from FeatureViewSync resource.

Parameter
NameDescription
featureViewSyncName string

A fully-qualified path representing FeatureViewSync resource.

Returns
TypeDescription
string | number

{string} A string representing the feature_online_store.

matchFeaturestoreFromEntityTypeName(entityTypeName)

matchFeaturestoreFromEntityTypeName(entityTypeName: string): string | number;

Parse the featurestore from EntityType resource.

Parameter
NameDescription
entityTypeName string

A fully-qualified path representing EntityType resource.

Returns
TypeDescription
string | number

{string} A string representing the featurestore.

matchFeaturestoreFromFeaturestoreName(featurestoreName)

matchFeaturestoreFromFeaturestoreName(featurestoreName: string): string | number;

Parse the featurestore from Featurestore resource.

Parameter
NameDescription
featurestoreName string

A fully-qualified path representing Featurestore resource.

Returns
TypeDescription
string | number

{string} A string representing the featurestore.

matchFeaturestoreFromProjectLocationFeaturestoreEntityTypeFeatureName(projectLocationFeaturestoreEntityTypeFeatureName)

matchFeaturestoreFromProjectLocationFeaturestoreEntityTypeFeatureName(projectLocationFeaturestoreEntityTypeFeatureName: string): string | number;

Parse the featurestore from ProjectLocationFeaturestoreEntityTypeFeature resource.

Parameter
NameDescription
projectLocationFeaturestoreEntityTypeFeatureName string

A fully-qualified path representing project_location_featurestore_entity_type_feature resource.

Returns
TypeDescription
string | number

{string} A string representing the featurestore.

matchFeatureViewFromFeatureViewName(featureViewName)

matchFeatureViewFromFeatureViewName(featureViewName: string): string | number;

Parse the feature_view from FeatureView resource.

Parameter
NameDescription
featureViewName string

A fully-qualified path representing FeatureView resource.

Returns
TypeDescription
string | number

{string} A string representing the feature_view.

matchFeatureViewFromFeatureViewSyncName(featureViewSyncName)

matchFeatureViewFromFeatureViewSyncName(featureViewSyncName: string): string | number;

Parse the feature_view from FeatureViewSync resource.

Parameter
NameDescription
featureViewSyncName string

A fully-qualified path representing FeatureViewSync resource.

Returns
TypeDescription
string | number

{string} A string representing the feature_view.

matchHyperparameterTuningJobFromHyperparameterTuningJobName(hyperparameterTuningJobName)

matchHyperparameterTuningJobFromHyperparameterTuningJobName(hyperparameterTuningJobName: string): string | number;

Parse the hyperparameter_tuning_job from HyperparameterTuningJob resource.

Parameter
NameDescription
hyperparameterTuningJobName string

A fully-qualified path representing HyperparameterTuningJob resource.

Returns
TypeDescription
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
NameDescription
indexEndpointName string

A fully-qualified path representing IndexEndpoint resource.

Returns
TypeDescription
string | number

{string} A string representing the index_endpoint.

matchIndexFromIndexName(indexName)

matchIndexFromIndexName(indexName: string): string | number;

Parse the index from Index resource.

Parameter
NameDescription
indexName string

A fully-qualified path representing Index resource.

Returns
TypeDescription
string | number

{string} A string representing the index.

matchLocationFromAnnotationName(annotationName)

matchLocationFromAnnotationName(annotationName: string): string | number;

Parse the location from Annotation resource.

Parameter
NameDescription
annotationName string

A fully-qualified path representing Annotation resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromAnnotationSpecName(annotationSpecName)

matchLocationFromAnnotationSpecName(annotationSpecName: string): string | number;

Parse the location from AnnotationSpec resource.

Parameter
NameDescription
annotationSpecName string

A fully-qualified path representing AnnotationSpec resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromArtifactName(artifactName)

matchLocationFromArtifactName(artifactName: string): string | number;

Parse the location from Artifact resource.

Parameter
NameDescription
artifactName string

A fully-qualified path representing Artifact resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromBatchPredictionJobName(batchPredictionJobName)

matchLocationFromBatchPredictionJobName(batchPredictionJobName: string): string | number;

Parse the location from BatchPredictionJob resource.

Parameter
NameDescription
batchPredictionJobName string

A fully-qualified path representing BatchPredictionJob resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromContextName(contextName)

matchLocationFromContextName(contextName: string): string | number;

Parse the location from Context resource.

Parameter
NameDescription
contextName string

A fully-qualified path representing Context resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromCustomJobName(customJobName)

matchLocationFromCustomJobName(customJobName: string): string | number;

Parse the location from CustomJob resource.

Parameter
NameDescription
customJobName string

A fully-qualified path representing CustomJob resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromDataItemName(dataItemName)

matchLocationFromDataItemName(dataItemName: string): string | number;

Parse the location from DataItem resource.

Parameter
NameDescription
dataItemName string

A fully-qualified path representing DataItem resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromDataLabelingJobName(dataLabelingJobName)

matchLocationFromDataLabelingJobName(dataLabelingJobName: string): string | number;

Parse the location from DataLabelingJob resource.

Parameter
NameDescription
dataLabelingJobName string

A fully-qualified path representing DataLabelingJob resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromDatasetName(datasetName)

matchLocationFromDatasetName(datasetName: string): string | number;

Parse the location from Dataset resource.

Parameter
NameDescription
datasetName string

A fully-qualified path representing Dataset resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromDatasetVersionName(datasetVersionName)

matchLocationFromDatasetVersionName(datasetVersionName: string): string | number;

Parse the location from DatasetVersion resource.

Parameter
NameDescription
datasetVersionName string

A fully-qualified path representing DatasetVersion resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromDeploymentResourcePoolName(deploymentResourcePoolName)

matchLocationFromDeploymentResourcePoolName(deploymentResourcePoolName: string): string | number;

Parse the location from DeploymentResourcePool resource.

Parameter
NameDescription
deploymentResourcePoolName string

A fully-qualified path representing DeploymentResourcePool resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromEntityTypeName(entityTypeName)

matchLocationFromEntityTypeName(entityTypeName: string): string | number;

Parse the location from EntityType resource.

Parameter
NameDescription
entityTypeName string

A fully-qualified path representing EntityType resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromExecutionName(executionName)

matchLocationFromExecutionName(executionName: string): string | number;

Parse the location from Execution resource.

Parameter
NameDescription
executionName string

A fully-qualified path representing Execution resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromFeatureGroupName(featureGroupName)

matchLocationFromFeatureGroupName(featureGroupName: string): string | number;

Parse the location from FeatureGroup resource.

Parameter
NameDescription
featureGroupName string

A fully-qualified path representing FeatureGroup resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromFeatureOnlineStoreName(featureOnlineStoreName)

matchLocationFromFeatureOnlineStoreName(featureOnlineStoreName: string): string | number;

Parse the location from FeatureOnlineStore resource.

Parameter
NameDescription
featureOnlineStoreName string

A fully-qualified path representing FeatureOnlineStore resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromFeaturestoreName(featurestoreName)

matchLocationFromFeaturestoreName(featurestoreName: string): string | number;

Parse the location from Featurestore resource.

Parameter
NameDescription
featurestoreName string

A fully-qualified path representing Featurestore resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromFeatureViewName(featureViewName)

matchLocationFromFeatureViewName(featureViewName: string): string | number;

Parse the location from FeatureView resource.

Parameter
NameDescription
featureViewName string

A fully-qualified path representing FeatureView resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromFeatureViewSyncName(featureViewSyncName)

matchLocationFromFeatureViewSyncName(featureViewSyncName: string): string | number;

Parse the location from FeatureViewSync resource.

Parameter
NameDescription
featureViewSyncName string

A fully-qualified path representing FeatureViewSync resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromHyperparameterTuningJobName(hyperparameterTuningJobName)

matchLocationFromHyperparameterTuningJobName(hyperparameterTuningJobName: string): string | number;

Parse the location from HyperparameterTuningJob resource.

Parameter
NameDescription
hyperparameterTuningJobName string

A fully-qualified path representing HyperparameterTuningJob resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromIndexEndpointName(indexEndpointName)

matchLocationFromIndexEndpointName(indexEndpointName: string): string | number;

Parse the location from IndexEndpoint resource.

Parameter
NameDescription
indexEndpointName string

A fully-qualified path representing IndexEndpoint resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromIndexName(indexName)

matchLocationFromIndexName(indexName: string): string | number;

Parse the location from Index resource.

Parameter
NameDescription
indexName string

A fully-qualified path representing Index resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromLocationName(locationName)

matchLocationFromLocationName(locationName: string): string | number;

Parse the location from Location resource.

Parameter
NameDescription
locationName string

A fully-qualified path representing Location resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromMetadataSchemaName(metadataSchemaName)

matchLocationFromMetadataSchemaName(metadataSchemaName: string): string | number;

Parse the location from MetadataSchema resource.

Parameter
NameDescription
metadataSchemaName string

A fully-qualified path representing MetadataSchema resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromMetadataStoreName(metadataStoreName)

matchLocationFromMetadataStoreName(metadataStoreName: string): string | number;

Parse the location from MetadataStore resource.

Parameter
NameDescription
metadataStoreName string

A fully-qualified path representing MetadataStore resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromModelDeploymentMonitoringJobName(modelDeploymentMonitoringJobName)

matchLocationFromModelDeploymentMonitoringJobName(modelDeploymentMonitoringJobName: string): string | number;

Parse the location from ModelDeploymentMonitoringJob resource.

Parameter
NameDescription
modelDeploymentMonitoringJobName string

A fully-qualified path representing ModelDeploymentMonitoringJob resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromModelEvaluationName(modelEvaluationName)

matchLocationFromModelEvaluationName(modelEvaluationName: string): string | number;

Parse the location from ModelEvaluation resource.

Parameter
NameDescription
modelEvaluationName string

A fully-qualified path representing ModelEvaluation resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromModelEvaluationSliceName(modelEvaluationSliceName)

matchLocationFromModelEvaluationSliceName(modelEvaluationSliceName: string): string | number;

Parse the location from ModelEvaluationSlice resource.

Parameter
NameDescription
modelEvaluationSliceName string

A fully-qualified path representing ModelEvaluationSlice resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromModelName(modelName)

matchLocationFromModelName(modelName: string): string | number;

Parse the location from Model resource.

Parameter
NameDescription
modelName string

A fully-qualified path representing Model resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromNasJobName(nasJobName)

matchLocationFromNasJobName(nasJobName: string): string | number;

Parse the location from NasJob resource.

Parameter
NameDescription
nasJobName string

A fully-qualified path representing NasJob resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromNasTrialDetailName(nasTrialDetailName)

matchLocationFromNasTrialDetailName(nasTrialDetailName: string): string | number;

Parse the location from NasTrialDetail resource.

Parameter
NameDescription
nasTrialDetailName string

A fully-qualified path representing NasTrialDetail resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromPersistentResourceName(persistentResourceName)

matchLocationFromPersistentResourceName(persistentResourceName: string): string | number;

Parse the location from PersistentResource resource.

Parameter
NameDescription
persistentResourceName string

A fully-qualified path representing PersistentResource resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromPipelineJobName(pipelineJobName)

matchLocationFromPipelineJobName(pipelineJobName: string): string | number;

Parse the location from PipelineJob resource.

Parameter
NameDescription
pipelineJobName string

A fully-qualified path representing PipelineJob resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromProjectLocationEndpointName(projectLocationEndpointName)

matchLocationFromProjectLocationEndpointName(projectLocationEndpointName: string): string | number;

Parse the location from ProjectLocationEndpoint resource.

Parameter
NameDescription
projectLocationEndpointName string

A fully-qualified path representing project_location_endpoint resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromProjectLocationFeatureGroupFeatureName(projectLocationFeatureGroupFeatureName)

matchLocationFromProjectLocationFeatureGroupFeatureName(projectLocationFeatureGroupFeatureName: string): string | number;

Parse the location from ProjectLocationFeatureGroupFeature resource.

Parameter
NameDescription
projectLocationFeatureGroupFeatureName string

A fully-qualified path representing project_location_feature_group_feature resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromProjectLocationFeaturestoreEntityTypeFeatureName(projectLocationFeaturestoreEntityTypeFeatureName)

matchLocationFromProjectLocationFeaturestoreEntityTypeFeatureName(projectLocationFeaturestoreEntityTypeFeatureName: string): string | number;

Parse the location from ProjectLocationFeaturestoreEntityTypeFeature resource.

Parameter
NameDescription
projectLocationFeaturestoreEntityTypeFeatureName string

A fully-qualified path representing project_location_featurestore_entity_type_feature resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromProjectLocationPublisherModelName(projectLocationPublisherModelName)

matchLocationFromProjectLocationPublisherModelName(projectLocationPublisherModelName: string): string | number;

Parse the location from ProjectLocationPublisherModel resource.

Parameter
NameDescription
projectLocationPublisherModelName string

A fully-qualified path representing project_location_publisher_model resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromSavedQueryName(savedQueryName)

matchLocationFromSavedQueryName(savedQueryName: string): string | number;

Parse the location from SavedQuery resource.

Parameter
NameDescription
savedQueryName string

A fully-qualified path representing SavedQuery resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromScheduleName(scheduleName)

matchLocationFromScheduleName(scheduleName: string): string | number;

Parse the location from Schedule resource.

Parameter
NameDescription
scheduleName string

A fully-qualified path representing Schedule resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromSpecialistPoolName(specialistPoolName)

matchLocationFromSpecialistPoolName(specialistPoolName: string): string | number;

Parse the location from SpecialistPool resource.

Parameter
NameDescription
specialistPoolName string

A fully-qualified path representing SpecialistPool resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromStudyName(studyName)

matchLocationFromStudyName(studyName: string): string | number;

Parse the location from Study resource.

Parameter
NameDescription
studyName string

A fully-qualified path representing Study resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromTensorboardExperimentName(tensorboardExperimentName)

matchLocationFromTensorboardExperimentName(tensorboardExperimentName: string): string | number;

Parse the location from TensorboardExperiment resource.

Parameter
NameDescription
tensorboardExperimentName string

A fully-qualified path representing TensorboardExperiment resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromTensorboardName(tensorboardName)

matchLocationFromTensorboardName(tensorboardName: string): string | number;

Parse the location from Tensorboard resource.

Parameter
NameDescription
tensorboardName string

A fully-qualified path representing Tensorboard resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromTensorboardRunName(tensorboardRunName)

matchLocationFromTensorboardRunName(tensorboardRunName: string): string | number;

Parse the location from TensorboardRun resource.

Parameter
NameDescription
tensorboardRunName string

A fully-qualified path representing TensorboardRun resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromTensorboardTimeSeriesName(tensorboardTimeSeriesName)

matchLocationFromTensorboardTimeSeriesName(tensorboardTimeSeriesName: string): string | number;

Parse the location from TensorboardTimeSeries resource.

Parameter
NameDescription
tensorboardTimeSeriesName string

A fully-qualified path representing TensorboardTimeSeries resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromTrainingPipelineName(trainingPipelineName)

matchLocationFromTrainingPipelineName(trainingPipelineName: string): string | number;

Parse the location from TrainingPipeline resource.

Parameter
NameDescription
trainingPipelineName string

A fully-qualified path representing TrainingPipeline resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchLocationFromTrialName(trialName)

matchLocationFromTrialName(trialName: string): string | number;

Parse the location from Trial resource.

Parameter
NameDescription
trialName string

A fully-qualified path representing Trial resource.

Returns
TypeDescription
string | number

{string} A string representing the location.

matchMetadataSchemaFromMetadataSchemaName(metadataSchemaName)

matchMetadataSchemaFromMetadataSchemaName(metadataSchemaName: string): string | number;

Parse the metadata_schema from MetadataSchema resource.

Parameter
NameDescription
metadataSchemaName string

A fully-qualified path representing MetadataSchema resource.

Returns
TypeDescription
string | number

{string} A string representing the metadata_schema.

matchMetadataStoreFromArtifactName(artifactName)

matchMetadataStoreFromArtifactName(artifactName: string): string | number;

Parse the metadata_store from Artifact resource.

Parameter
NameDescription
artifactName string

A fully-qualified path representing Artifact resource.

Returns
TypeDescription
string | number

{string} A string representing the metadata_store.

matchMetadataStoreFromContextName(contextName)

matchMetadataStoreFromContextName(contextName: string): string | number;

Parse the metadata_store from Context resource.

Parameter
NameDescription
contextName string

A fully-qualified path representing Context resource.

Returns
TypeDescription
string | number

{string} A string representing the metadata_store.

matchMetadataStoreFromExecutionName(executionName)

matchMetadataStoreFromExecutionName(executionName: string): string | number;

Parse the metadata_store from Execution resource.

Parameter
NameDescription
executionName string

A fully-qualified path representing Execution resource.

Returns
TypeDescription
string | number

{string} A string representing the metadata_store.

matchMetadataStoreFromMetadataSchemaName(metadataSchemaName)

matchMetadataStoreFromMetadataSchemaName(metadataSchemaName: string): string | number;

Parse the metadata_store from MetadataSchema resource.

Parameter
NameDescription
metadataSchemaName string

A fully-qualified path representing MetadataSchema resource.

Returns
TypeDescription
string | number

{string} A string representing the metadata_store.

matchMetadataStoreFromMetadataStoreName(metadataStoreName)

matchMetadataStoreFromMetadataStoreName(metadataStoreName: string): string | number;

Parse the metadata_store from MetadataStore resource.

Parameter
NameDescription
metadataStoreName string

A fully-qualified path representing MetadataStore resource.

Returns
TypeDescription
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
NameDescription
modelDeploymentMonitoringJobName string

A fully-qualified path representing ModelDeploymentMonitoringJob resource.

Returns
TypeDescription
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
NameDescription
modelEvaluationName string

A fully-qualified path representing ModelEvaluation resource.

Returns
TypeDescription
string | number

{string} A string representing the model.

matchModelFromModelEvaluationSliceName(modelEvaluationSliceName)

matchModelFromModelEvaluationSliceName(modelEvaluationSliceName: string): string | number;

Parse the model from ModelEvaluationSlice resource.

Parameter
NameDescription
modelEvaluationSliceName string

A fully-qualified path representing ModelEvaluationSlice resource.

Returns
TypeDescription
string | number

{string} A string representing the model.

matchModelFromModelName(modelName)

matchModelFromModelName(modelName: string): string | number;

Parse the model from Model resource.

Parameter
NameDescription
modelName string

A fully-qualified path representing Model resource.

Returns
TypeDescription
string | number

{string} A string representing the model.

matchModelFromProjectLocationPublisherModelName(projectLocationPublisherModelName)

matchModelFromProjectLocationPublisherModelName(projectLocationPublisherModelName: string): string | number;

Parse the model from ProjectLocationPublisherModel resource.

Parameter
NameDescription
projectLocationPublisherModelName string

A fully-qualified path representing project_location_publisher_model resource.

Returns
TypeDescription
string | number

{string} A string representing the model.

matchModelFromPublisherModelName(publisherModelName)

matchModelFromPublisherModelName(publisherModelName: string): string | number;

Parse the model from PublisherModel resource.

Parameter
NameDescription
publisherModelName string

A fully-qualified path representing PublisherModel resource.

Returns
TypeDescription
string | number

{string} A string representing the model.

matchNasJobFromNasJobName(nasJobName)

matchNasJobFromNasJobName(nasJobName: string): string | number;

Parse the nas_job from NasJob resource.

Parameter
NameDescription
nasJobName string

A fully-qualified path representing NasJob resource.

Returns
TypeDescription
string | number

{string} A string representing the nas_job.

matchNasJobFromNasTrialDetailName(nasTrialDetailName)

matchNasJobFromNasTrialDetailName(nasTrialDetailName: string): string | number;

Parse the nas_job from NasTrialDetail resource.

Parameter
NameDescription
nasTrialDetailName string

A fully-qualified path representing NasTrialDetail resource.

Returns
TypeDescription
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
NameDescription
nasTrialDetailName string

A fully-qualified path representing NasTrialDetail resource.

Returns
TypeDescription
string | number

{string} A string representing the nas_trial_detail.

matchPersistentResourceFromPersistentResourceName(persistentResourceName)

matchPersistentResourceFromPersistentResourceName(persistentResourceName: string): string | number;

Parse the persistent_resource from PersistentResource resource.

Parameter
NameDescription
persistentResourceName string

A fully-qualified path representing PersistentResource resource.

Returns
TypeDescription
string | number

{string} A string representing the persistent_resource.

matchPipelineJobFromPipelineJobName(pipelineJobName)

matchPipelineJobFromPipelineJobName(pipelineJobName: string): string | number;

Parse the pipeline_job from PipelineJob resource.

Parameter
NameDescription
pipelineJobName string

A fully-qualified path representing PipelineJob resource.

Returns
TypeDescription
string | number

{string} A string representing the pipeline_job.

matchProjectFromAnnotationName(annotationName)

matchProjectFromAnnotationName(annotationName: string): string | number;

Parse the project from Annotation resource.

Parameter
NameDescription
annotationName string

A fully-qualified path representing Annotation resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromAnnotationSpecName(annotationSpecName)

matchProjectFromAnnotationSpecName(annotationSpecName: string): string | number;

Parse the project from AnnotationSpec resource.

Parameter
NameDescription
annotationSpecName string

A fully-qualified path representing AnnotationSpec resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromArtifactName(artifactName)

matchProjectFromArtifactName(artifactName: string): string | number;

Parse the project from Artifact resource.

Parameter
NameDescription
artifactName string

A fully-qualified path representing Artifact resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromBatchPredictionJobName(batchPredictionJobName)

matchProjectFromBatchPredictionJobName(batchPredictionJobName: string): string | number;

Parse the project from BatchPredictionJob resource.

Parameter
NameDescription
batchPredictionJobName string

A fully-qualified path representing BatchPredictionJob resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromContextName(contextName)

matchProjectFromContextName(contextName: string): string | number;

Parse the project from Context resource.

Parameter
NameDescription
contextName string

A fully-qualified path representing Context resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromCustomJobName(customJobName)

matchProjectFromCustomJobName(customJobName: string): string | number;

Parse the project from CustomJob resource.

Parameter
NameDescription
customJobName string

A fully-qualified path representing CustomJob resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromDataItemName(dataItemName)

matchProjectFromDataItemName(dataItemName: string): string | number;

Parse the project from DataItem resource.

Parameter
NameDescription
dataItemName string

A fully-qualified path representing DataItem resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromDataLabelingJobName(dataLabelingJobName)

matchProjectFromDataLabelingJobName(dataLabelingJobName: string): string | number;

Parse the project from DataLabelingJob resource.

Parameter
NameDescription
dataLabelingJobName string

A fully-qualified path representing DataLabelingJob resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromDatasetName(datasetName)

matchProjectFromDatasetName(datasetName: string): string | number;

Parse the project from Dataset resource.

Parameter
NameDescription
datasetName string

A fully-qualified path representing Dataset resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromDatasetVersionName(datasetVersionName)

matchProjectFromDatasetVersionName(datasetVersionName: string): string | number;

Parse the project from DatasetVersion resource.

Parameter
NameDescription
datasetVersionName string

A fully-qualified path representing DatasetVersion resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromDeploymentResourcePoolName(deploymentResourcePoolName)

matchProjectFromDeploymentResourcePoolName(deploymentResourcePoolName: string): string | number;

Parse the project from DeploymentResourcePool resource.

Parameter
NameDescription
deploymentResourcePoolName string

A fully-qualified path representing DeploymentResourcePool resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromEntityTypeName(entityTypeName)

matchProjectFromEntityTypeName(entityTypeName: string): string | number;

Parse the project from EntityType resource.

Parameter
NameDescription
entityTypeName string

A fully-qualified path representing EntityType resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromExecutionName(executionName)

matchProjectFromExecutionName(executionName: string): string | number;

Parse the project from Execution resource.

Parameter
NameDescription
executionName string

A fully-qualified path representing Execution resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromFeatureGroupName(featureGroupName)

matchProjectFromFeatureGroupName(featureGroupName: string): string | number;

Parse the project from FeatureGroup resource.

Parameter
NameDescription
featureGroupName string

A fully-qualified path representing FeatureGroup resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromFeatureOnlineStoreName(featureOnlineStoreName)

matchProjectFromFeatureOnlineStoreName(featureOnlineStoreName: string): string | number;

Parse the project from FeatureOnlineStore resource.

Parameter
NameDescription
featureOnlineStoreName string

A fully-qualified path representing FeatureOnlineStore resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromFeaturestoreName(featurestoreName)

matchProjectFromFeaturestoreName(featurestoreName: string): string | number;

Parse the project from Featurestore resource.

Parameter
NameDescription
featurestoreName string

A fully-qualified path representing Featurestore resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromFeatureViewName(featureViewName)

matchProjectFromFeatureViewName(featureViewName: string): string | number;

Parse the project from FeatureView resource.

Parameter
NameDescription
featureViewName string

A fully-qualified path representing FeatureView resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromFeatureViewSyncName(featureViewSyncName)

matchProjectFromFeatureViewSyncName(featureViewSyncName: string): string | number;

Parse the project from FeatureViewSync resource.

Parameter
NameDescription
featureViewSyncName string

A fully-qualified path representing FeatureViewSync resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromHyperparameterTuningJobName(hyperparameterTuningJobName)

matchProjectFromHyperparameterTuningJobName(hyperparameterTuningJobName: string): string | number;

Parse the project from HyperparameterTuningJob resource.

Parameter
NameDescription
hyperparameterTuningJobName string

A fully-qualified path representing HyperparameterTuningJob resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromIndexEndpointName(indexEndpointName)

matchProjectFromIndexEndpointName(indexEndpointName: string): string | number;

Parse the project from IndexEndpoint resource.

Parameter
NameDescription
indexEndpointName string

A fully-qualified path representing IndexEndpoint resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromIndexName(indexName)

matchProjectFromIndexName(indexName: string): string | number;

Parse the project from Index resource.

Parameter
NameDescription
indexName string

A fully-qualified path representing Index resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromLocationName(locationName)

matchProjectFromLocationName(locationName: string): string | number;

Parse the project from Location resource.

Parameter
NameDescription
locationName string

A fully-qualified path representing Location resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromMetadataSchemaName(metadataSchemaName)

matchProjectFromMetadataSchemaName(metadataSchemaName: string): string | number;

Parse the project from MetadataSchema resource.

Parameter
NameDescription
metadataSchemaName string

A fully-qualified path representing MetadataSchema resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromMetadataStoreName(metadataStoreName)

matchProjectFromMetadataStoreName(metadataStoreName: string): string | number;

Parse the project from MetadataStore resource.

Parameter
NameDescription
metadataStoreName string

A fully-qualified path representing MetadataStore resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromModelDeploymentMonitoringJobName(modelDeploymentMonitoringJobName)

matchProjectFromModelDeploymentMonitoringJobName(modelDeploymentMonitoringJobName: string): string | number;

Parse the project from ModelDeploymentMonitoringJob resource.

Parameter
NameDescription
modelDeploymentMonitoringJobName string

A fully-qualified path representing ModelDeploymentMonitoringJob resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromModelEvaluationName(modelEvaluationName)

matchProjectFromModelEvaluationName(modelEvaluationName: string): string | number;

Parse the project from ModelEvaluation resource.

Parameter
NameDescription
modelEvaluationName string

A fully-qualified path representing ModelEvaluation resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromModelEvaluationSliceName(modelEvaluationSliceName)

matchProjectFromModelEvaluationSliceName(modelEvaluationSliceName: string): string | number;

Parse the project from ModelEvaluationSlice resource.

Parameter
NameDescription
modelEvaluationSliceName string

A fully-qualified path representing ModelEvaluationSlice resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromModelName(modelName)

matchProjectFromModelName(modelName: string): string | number;

Parse the project from Model resource.

Parameter
NameDescription
modelName string

A fully-qualified path representing Model resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromNasJobName(nasJobName)

matchProjectFromNasJobName(nasJobName: string): string | number;

Parse the project from NasJob resource.

Parameter
NameDescription
nasJobName string

A fully-qualified path representing NasJob resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromNasTrialDetailName(nasTrialDetailName)

matchProjectFromNasTrialDetailName(nasTrialDetailName: string): string | number;

Parse the project from NasTrialDetail resource.

Parameter
NameDescription
nasTrialDetailName string

A fully-qualified path representing NasTrialDetail resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromPersistentResourceName(persistentResourceName)

matchProjectFromPersistentResourceName(persistentResourceName: string): string | number;

Parse the project from PersistentResource resource.

Parameter
NameDescription
persistentResourceName string

A fully-qualified path representing PersistentResource resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromPipelineJobName(pipelineJobName)

matchProjectFromPipelineJobName(pipelineJobName: string): string | number;

Parse the project from PipelineJob resource.

Parameter
NameDescription
pipelineJobName string

A fully-qualified path representing PipelineJob resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromProjectLocationEndpointName(projectLocationEndpointName)

matchProjectFromProjectLocationEndpointName(projectLocationEndpointName: string): string | number;

Parse the project from ProjectLocationEndpoint resource.

Parameter
NameDescription
projectLocationEndpointName string

A fully-qualified path representing project_location_endpoint resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromProjectLocationFeatureGroupFeatureName(projectLocationFeatureGroupFeatureName)

matchProjectFromProjectLocationFeatureGroupFeatureName(projectLocationFeatureGroupFeatureName: string): string | number;

Parse the project from ProjectLocationFeatureGroupFeature resource.

Parameter
NameDescription
projectLocationFeatureGroupFeatureName string

A fully-qualified path representing project_location_feature_group_feature resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromProjectLocationFeaturestoreEntityTypeFeatureName(projectLocationFeaturestoreEntityTypeFeatureName)

matchProjectFromProjectLocationFeaturestoreEntityTypeFeatureName(projectLocationFeaturestoreEntityTypeFeatureName: string): string | number;

Parse the project from ProjectLocationFeaturestoreEntityTypeFeature resource.

Parameter
NameDescription
projectLocationFeaturestoreEntityTypeFeatureName string

A fully-qualified path representing project_location_featurestore_entity_type_feature resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromProjectLocationPublisherModelName(projectLocationPublisherModelName)

matchProjectFromProjectLocationPublisherModelName(projectLocationPublisherModelName: string): string | number;

Parse the project from ProjectLocationPublisherModel resource.

Parameter
NameDescription
projectLocationPublisherModelName string

A fully-qualified path representing project_location_publisher_model resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromSavedQueryName(savedQueryName)

matchProjectFromSavedQueryName(savedQueryName: string): string | number;

Parse the project from SavedQuery resource.

Parameter
NameDescription
savedQueryName string

A fully-qualified path representing SavedQuery resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromScheduleName(scheduleName)

matchProjectFromScheduleName(scheduleName: string): string | number;

Parse the project from Schedule resource.

Parameter
NameDescription
scheduleName string

A fully-qualified path representing Schedule resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromSpecialistPoolName(specialistPoolName)

matchProjectFromSpecialistPoolName(specialistPoolName: string): string | number;

Parse the project from SpecialistPool resource.

Parameter
NameDescription
specialistPoolName string

A fully-qualified path representing SpecialistPool resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromStudyName(studyName)

matchProjectFromStudyName(studyName: string): string | number;

Parse the project from Study resource.

Parameter
NameDescription
studyName string

A fully-qualified path representing Study resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromTensorboardExperimentName(tensorboardExperimentName)

matchProjectFromTensorboardExperimentName(tensorboardExperimentName: string): string | number;

Parse the project from TensorboardExperiment resource.

Parameter
NameDescription
tensorboardExperimentName string

A fully-qualified path representing TensorboardExperiment resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromTensorboardName(tensorboardName)

matchProjectFromTensorboardName(tensorboardName: string): string | number;

Parse the project from Tensorboard resource.

Parameter
NameDescription
tensorboardName string

A fully-qualified path representing Tensorboard resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromTensorboardRunName(tensorboardRunName)

matchProjectFromTensorboardRunName(tensorboardRunName: string): string | number;

Parse the project from TensorboardRun resource.

Parameter
NameDescription
tensorboardRunName string

A fully-qualified path representing TensorboardRun resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromTensorboardTimeSeriesName(tensorboardTimeSeriesName)

matchProjectFromTensorboardTimeSeriesName(tensorboardTimeSeriesName: string): string | number;

Parse the project from TensorboardTimeSeries resource.

Parameter
NameDescription
tensorboardTimeSeriesName string

A fully-qualified path representing TensorboardTimeSeries resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromTrainingPipelineName(trainingPipelineName)

matchProjectFromTrainingPipelineName(trainingPipelineName: string): string | number;

Parse the project from TrainingPipeline resource.

Parameter
NameDescription
trainingPipelineName string

A fully-qualified path representing TrainingPipeline resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchProjectFromTrialName(trialName)

matchProjectFromTrialName(trialName: string): string | number;

Parse the project from Trial resource.

Parameter
NameDescription
trialName string

A fully-qualified path representing Trial resource.

Returns
TypeDescription
string | number

{string} A string representing the project.

matchPublisherFromProjectLocationPublisherModelName(projectLocationPublisherModelName)

matchPublisherFromProjectLocationPublisherModelName(projectLocationPublisherModelName: string): string | number;

Parse the publisher from ProjectLocationPublisherModel resource.

Parameter
NameDescription
projectLocationPublisherModelName string

A fully-qualified path representing project_location_publisher_model resource.

Returns
TypeDescription
string | number

{string} A string representing the publisher.

matchPublisherFromPublisherModelName(publisherModelName)

matchPublisherFromPublisherModelName(publisherModelName: string): string | number;

Parse the publisher from PublisherModel resource.

Parameter
NameDescription
publisherModelName string

A fully-qualified path representing PublisherModel resource.

Returns
TypeDescription
string | number

{string} A string representing the publisher.

matchRunFromTensorboardRunName(tensorboardRunName)

matchRunFromTensorboardRunName(tensorboardRunName: string): string | number;

Parse the run from TensorboardRun resource.

Parameter
NameDescription
tensorboardRunName string

A fully-qualified path representing TensorboardRun resource.

Returns
TypeDescription
string | number

{string} A string representing the run.

matchRunFromTensorboardTimeSeriesName(tensorboardTimeSeriesName)

matchRunFromTensorboardTimeSeriesName(tensorboardTimeSeriesName: string): string | number;

Parse the run from TensorboardTimeSeries resource.

Parameter
NameDescription
tensorboardTimeSeriesName string

A fully-qualified path representing TensorboardTimeSeries resource.

Returns
TypeDescription
string | number

{string} A string representing the run.

matchSavedQueryFromSavedQueryName(savedQueryName)

matchSavedQueryFromSavedQueryName(savedQueryName: string): string | number;

Parse the saved_query from SavedQuery resource.

Parameter
NameDescription
savedQueryName string

A fully-qualified path representing SavedQuery resource.

Returns
TypeDescription
string | number

{string} A string representing the saved_query.

matchScheduleFromScheduleName(scheduleName)

matchScheduleFromScheduleName(scheduleName: string): string | number;

Parse the schedule from Schedule resource.

Parameter
NameDescription
scheduleName string

A fully-qualified path representing Schedule resource.

Returns
TypeDescription
string | number

{string} A string representing the schedule.

matchSliceFromModelEvaluationSliceName(modelEvaluationSliceName)

matchSliceFromModelEvaluationSliceName(modelEvaluationSliceName: string): string | number;

Parse the slice from ModelEvaluationSlice resource.

Parameter
NameDescription
modelEvaluationSliceName string

A fully-qualified path representing ModelEvaluationSlice resource.

Returns
TypeDescription
string | number

{string} A string representing the slice.

matchSpecialistPoolFromSpecialistPoolName(specialistPoolName)

matchSpecialistPoolFromSpecialistPoolName(specialistPoolName: string): string | number;

Parse the specialist_pool from SpecialistPool resource.

Parameter
NameDescription
specialistPoolName string

A fully-qualified path representing SpecialistPool resource.

Returns
TypeDescription
string | number

{string} A string representing the specialist_pool.

matchStudyFromStudyName(studyName)

matchStudyFromStudyName(studyName: string): string | number;

Parse the study from Study resource.

Parameter
NameDescription
studyName string

A fully-qualified path representing Study resource.

Returns
TypeDescription
string | number

{string} A string representing the study.

matchStudyFromTrialName(trialName)

matchStudyFromTrialName(trialName: string): string | number;

Parse the study from Trial resource.

Parameter
NameDescription
trialName string

A fully-qualified path representing Trial resource.

Returns
TypeDescription
string | number

{string} A string representing the study.

matchTensorboardFromTensorboardExperimentName(tensorboardExperimentName)

matchTensorboardFromTensorboardExperimentName(tensorboardExperimentName: string): string | number;

Parse the tensorboard from TensorboardExperiment resource.

Parameter
NameDescription
tensorboardExperimentName string

A fully-qualified path representing TensorboardExperiment resource.

Returns
TypeDescription
string | number

{string} A string representing the tensorboard.

matchTensorboardFromTensorboardName(tensorboardName)

matchTensorboardFromTensorboardName(tensorboardName: string): string | number;

Parse the tensorboard from Tensorboard resource.

Parameter
NameDescription
tensorboardName string

A fully-qualified path representing Tensorboard resource.

Returns
TypeDescription
string | number

{string} A string representing the tensorboard.

matchTensorboardFromTensorboardRunName(tensorboardRunName)

matchTensorboardFromTensorboardRunName(tensorboardRunName: string): string | number;

Parse the tensorboard from TensorboardRun resource.

Parameter
NameDescription
tensorboardRunName string

A fully-qualified path representing TensorboardRun resource.

Returns
TypeDescription
string | number

{string} A string representing the tensorboard.

matchTensorboardFromTensorboardTimeSeriesName(tensorboardTimeSeriesName)

matchTensorboardFromTensorboardTimeSeriesName(tensorboardTimeSeriesName: string): string | number;

Parse the tensorboard from TensorboardTimeSeries resource.

Parameter
NameDescription
tensorboardTimeSeriesName string

A fully-qualified path representing TensorboardTimeSeries resource.

Returns
TypeDescription
string | number

{string} A string representing the tensorboard.

matchTimeSeriesFromTensorboardTimeSeriesName(tensorboardTimeSeriesName)

matchTimeSeriesFromTensorboardTimeSeriesName(tensorboardTimeSeriesName: string): string | number;

Parse the time_series from TensorboardTimeSeries resource.

Parameter
NameDescription
tensorboardTimeSeriesName string

A fully-qualified path representing TensorboardTimeSeries resource.

Returns
TypeDescription
string | number

{string} A string representing the time_series.

matchTrainingPipelineFromTrainingPipelineName(trainingPipelineName)

matchTrainingPipelineFromTrainingPipelineName(trainingPipelineName: string): string | number;

Parse the training_pipeline from TrainingPipeline resource.

Parameter
NameDescription
trainingPipelineName string

A fully-qualified path representing TrainingPipeline resource.

Returns
TypeDescription
string | number

{string} A string representing the training_pipeline.

matchTrialFromTrialName(trialName)

matchTrialFromTrialName(trialName: string): string | number;

Parse the trial from Trial resource.

Parameter
NameDescription
trialName string

A fully-qualified path representing Trial resource.

Returns
TypeDescription
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
NameDescription
project string
location string
metadataStore string
metadataSchema string
Returns
TypeDescription
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
NameDescription
project string
location string
metadataStore string
Returns
TypeDescription
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
NameDescription
project string
location string
modelDeploymentMonitoringJob string
Returns
TypeDescription
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
NameDescription
project string
location string
model string
evaluation string
Returns
TypeDescription
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
NameDescription
project string
location string
model string
evaluation string
slice string
Returns
TypeDescription
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
NameDescription
project string
location string
model string
Returns
TypeDescription
string

{string} Resource name string.

mutateDeployedModel(request, options)

mutateDeployedModel(request?: protos.google.cloud.aiplatform.v1beta1.IMutateDeployedModelRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.cloud.aiplatform.v1beta1.IMutateDeployedModelResponse, protos.google.cloud.aiplatform.v1beta1.IMutateDeployedModelOperationMetadata>,
        protos.google.longrunning.IOperation | undefined,
        {} | undefined
    ]>;

Updates an existing deployed model. Updatable fields include min_replica_count, max_replica_count, autoscaling_metric_specs, disable_container_logging (v1 only), and enable_container_logging (v1beta1 only).

Parameters
NameDescription
request IMutateDeployedModelRequest

The request object that will be sent.

options CallOptions

Call options. See CallOptions for more details.

Returns
TypeDescription
Promise<[ LROperation<protos.google.cloud.aiplatform.v1beta1.IMutateDeployedModelResponse, protos.google.cloud.aiplatform.v1beta1.IMutateDeployedModelOperationMetadata>, 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 name of the Endpoint resource into which to mutate a
   *  DeployedModel. Format:
   *  `projects/{project}/locations/{location}/endpoints/{endpoint}`
   */
  // const endpoint = 'abc123'
  /**
   *  Required. The DeployedModel to be mutated within the Endpoint. Only the
   *  following fields can be mutated:
   *  * `min_replica_count` in either
   *  DedicatedResources google.cloud.aiplatform.v1beta1.DedicatedResources  or
   *  AutomaticResources google.cloud.aiplatform.v1beta1.AutomaticResources 
   *  * `max_replica_count` in either
   *  DedicatedResources google.cloud.aiplatform.v1beta1.DedicatedResources  or
   *  AutomaticResources google.cloud.aiplatform.v1beta1.AutomaticResources 
   *  * autoscaling_metric_specs google.cloud.aiplatform.v1beta1.DedicatedResources.autoscaling_metric_specs 
   *  * `disable_container_logging` (v1 only)
   *  * `enable_container_logging` (v1beta1 only)
   */
  // const deployedModel = {}
  /**
   *  Required. The update mask applies to the resource. See
   *  google.protobuf.FieldMask google.protobuf.FieldMask.
   */
  // const updateMask = {}

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

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

  async function callMutateDeployedModel() {
    // Construct request
    const request = {
      endpoint,
      deployedModel,
      updateMask,
    };

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

  callMutateDeployedModel();

mutateDeployedModel(request, options, callback)

mutateDeployedModel(request: protos.google.cloud.aiplatform.v1beta1.IMutateDeployedModelRequest, options: CallOptions, callback: Callback<LROperation<protos.google.cloud.aiplatform.v1beta1.IMutateDeployedModelResponse, protos.google.cloud.aiplatform.v1beta1.IMutateDeployedModelOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;
Parameters
NameDescription
request IMutateDeployedModelRequest
options CallOptions
callback Callback<LROperation<protos.google.cloud.aiplatform.v1beta1.IMutateDeployedModelResponse, protos.google.cloud.aiplatform.v1beta1.IMutateDeployedModelOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>
Returns
TypeDescription
void

mutateDeployedModel(request, callback)

mutateDeployedModel(request: protos.google.cloud.aiplatform.v1beta1.IMutateDeployedModelRequest, callback: Callback<LROperation<protos.google.cloud.aiplatform.v1beta1.IMutateDeployedModelResponse, protos.google.cloud.aiplatform.v1beta1.IMutateDeployedModelOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;
Parameters
NameDescription
request IMutateDeployedModelRequest
callback Callback<LROperation<protos.google.cloud.aiplatform.v1beta1.IMutateDeployedModelResponse, protos.google.cloud.aiplatform.v1beta1.IMutateDeployedModelOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>
Returns
TypeDescription
void

nasJobPath(project, location, nasJob)

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

Return a fully-qualified nasJob resource name string.

Parameters
NameDescription
project string
location string
nasJob string
Returns
TypeDescription
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
NameDescription
project string
location string
nasJob string
nasTrialDetail string
Returns
TypeDescription
string

{string} Resource name string.

persistentResourcePath(project, location, persistentResource)

persistentResourcePath(project: string, location: string, persistentResource: string): string;

Return a fully-qualified persistentResource resource name string.

Parameters
NameDescription
project string
location string
persistentResource string
Returns
TypeDescription
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
NameDescription
project string
location string
pipelineJob string
Returns
TypeDescription
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
NameDescription
project string
location string
endpoint string
Returns
TypeDescription
string

{string} Resource name string.

projectLocationFeatureGroupFeaturePath(project, location, featureGroup, feature)

projectLocationFeatureGroupFeaturePath(project: string, location: string, featureGroup: string, feature: string): string;

Return a fully-qualified projectLocationFeatureGroupFeature resource name string.

Parameters
NameDescription
project string
location string
featureGroup string
feature string
Returns
TypeDescription
string

{string} Resource name string.

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

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

Return a fully-qualified projectLocationFeaturestoreEntityTypeFeature resource name string.

Parameters
NameDescription
project string
location string
featurestore string
entityType string
feature string
Returns
TypeDescription
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
NameDescription
project string
location string
publisher string
model string
Returns
TypeDescription
string

{string} Resource name string.

publisherModelPath(publisher, model)

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

Return a fully-qualified publisherModel resource name string.

Parameters
NameDescription
publisher string
model string
Returns
TypeDescription
string

{string} Resource name string.

savedQueryPath(project, location, dataset, savedQuery)

savedQueryPath(project: string, location: string, dataset: string, savedQuery: string): string;

Return a fully-qualified savedQuery resource name string.

Parameters
NameDescription
project string
location string
dataset string
savedQuery string
Returns
TypeDescription
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
NameDescription
project string
location string
schedule string
Returns
TypeDescription
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
NameDescription
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
TypeDescription
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
NameDescription
project string
location string
specialistPool string
Returns
TypeDescription
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
NameDescription
project string
location string
study string
Returns
TypeDescription
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
NameDescription
project string
location string
tensorboard string
experiment string
Returns
TypeDescription
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
NameDescription
project string
location string
tensorboard string
Returns
TypeDescription
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
NameDescription
project string
location string
tensorboard string
experiment string
run string
Returns
TypeDescription
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
NameDescription
project string
location string
tensorboard string
experiment string
run string
timeSeries string
Returns
TypeDescription
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
NameDescription
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
TypeDescription
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
NameDescription
project string
location string
trainingPipeline string
Returns
TypeDescription
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
NameDescription
project string
location string
study string
trial string
Returns
TypeDescription
string

{string} Resource name string.

undeployModel(request, options)

undeployModel(request?: protos.google.cloud.aiplatform.v1beta1.IUndeployModelRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.cloud.aiplatform.v1beta1.IUndeployModelResponse, protos.google.cloud.aiplatform.v1beta1.IUndeployModelOperationMetadata>,
        protos.google.longrunning.IOperation | undefined,
        {} | undefined
    ]>;

Undeploys a Model from an Endpoint, removing a DeployedModel from it, and freeing all resources it's using.

Parameters
NameDescription
request IUndeployModelRequest

The request object that will be sent.

options CallOptions

Call options. See CallOptions for more details.

Returns
TypeDescription
Promise<[ LROperation<protos.google.cloud.aiplatform.v1beta1.IUndeployModelResponse, protos.google.cloud.aiplatform.v1beta1.IUndeployModelOperationMetadata>, 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 name of the Endpoint resource from which to undeploy a Model.
   *  Format:
   *  `projects/{project}/locations/{location}/endpoints/{endpoint}`
   */
  // const endpoint = 'abc123'
  /**
   *  Required. The ID of the DeployedModel to be undeployed from the Endpoint.
   */
  // const deployedModelId = 'abc123'
  /**
   *  If this field is provided, then the Endpoint's
   *  traffic_split google.cloud.aiplatform.v1beta1.Endpoint.traffic_split 
   *  will be overwritten with it. If last DeployedModel is being undeployed from
   *  the Endpoint, the Endpoint.traffic_split  will always end up empty when
   *  this call returns. A DeployedModel will be successfully undeployed only if
   *  it doesn't have any traffic assigned to it when this method executes, or if
   *  this field unassigns any traffic to it.
   */
  // const trafficSplit = [1,2,3,4]

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

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

  async function callUndeployModel() {
    // Construct request
    const request = {
      endpoint,
      deployedModelId,
    };

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

  callUndeployModel();

undeployModel(request, options, callback)

undeployModel(request: protos.google.cloud.aiplatform.v1beta1.IUndeployModelRequest, options: CallOptions, callback: Callback<LROperation<protos.google.cloud.aiplatform.v1beta1.IUndeployModelResponse, protos.google.cloud.aiplatform.v1beta1.IUndeployModelOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;
Parameters
NameDescription
request IUndeployModelRequest
options CallOptions
callback Callback<LROperation<protos.google.cloud.aiplatform.v1beta1.IUndeployModelResponse, protos.google.cloud.aiplatform.v1beta1.IUndeployModelOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>
Returns
TypeDescription
void

undeployModel(request, callback)

undeployModel(request: protos.google.cloud.aiplatform.v1beta1.IUndeployModelRequest, callback: Callback<LROperation<protos.google.cloud.aiplatform.v1beta1.IUndeployModelResponse, protos.google.cloud.aiplatform.v1beta1.IUndeployModelOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;
Parameters
NameDescription
request IUndeployModelRequest
callback Callback<LROperation<protos.google.cloud.aiplatform.v1beta1.IUndeployModelResponse, protos.google.cloud.aiplatform.v1beta1.IUndeployModelOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>
Returns
TypeDescription
void

updateEndpoint(request, options)

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

Updates an Endpoint.

Parameters
NameDescription
request IUpdateEndpointRequest

The request object that will be sent.

options CallOptions

Call options. See CallOptions for more details.

Returns
TypeDescription
Promise<[ protos.google.cloud.aiplatform.v1beta1.IEndpoint, protos.google.cloud.aiplatform.v1beta1.IUpdateEndpointRequest | undefined, {} | undefined ]>

{Promise} - The promise which resolves to an array. The first element of the array is an object representing Endpoint. 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 Endpoint which replaces the resource on the server.
   */
  // const endpoint = {}
  /**
   *  Required. The update mask applies to the resource. See
   *  google.protobuf.FieldMask google.protobuf.FieldMask.
   */
  // const updateMask = {}

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

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

  async function callUpdateEndpoint() {
    // Construct request
    const request = {
      endpoint,
      updateMask,
    };

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

  callUpdateEndpoint();

updateEndpoint(request, options, callback)

updateEndpoint(request: protos.google.cloud.aiplatform.v1beta1.IUpdateEndpointRequest, options: CallOptions, callback: Callback<protos.google.cloud.aiplatform.v1beta1.IEndpoint, protos.google.cloud.aiplatform.v1beta1.IUpdateEndpointRequest | null | undefined, {} | null | undefined>): void;
Parameters
NameDescription
request IUpdateEndpointRequest
options CallOptions
callback Callback<protos.google.cloud.aiplatform.v1beta1.IEndpoint, protos.google.cloud.aiplatform.v1beta1.IUpdateEndpointRequest | null | undefined, {} | null | undefined>
Returns
TypeDescription
void

updateEndpoint(request, callback)

updateEndpoint(request: protos.google.cloud.aiplatform.v1beta1.IUpdateEndpointRequest, callback: Callback<protos.google.cloud.aiplatform.v1beta1.IEndpoint, protos.google.cloud.aiplatform.v1beta1.IUpdateEndpointRequest | null | undefined, {} | null | undefined>): void;
Parameters
NameDescription
request IUpdateEndpointRequest
callback Callback<protos.google.cloud.aiplatform.v1beta1.IEndpoint, protos.google.cloud.aiplatform.v1beta1.IUpdateEndpointRequest | null | undefined, {} | null | undefined>
Returns
TypeDescription
void