Class v1alpha.MachineLearningRunsClient (0.2.0)

Service for managing Machine Learning Runs. v1alpha

Package

@google-cloud/hypercomputecluster

Constructors

(constructor)(opts, gaxInstance)

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

Construct an instance of MachineLearningRunsClient.

Parameters
Name Description
opts ClientOptions
gaxInstance typeof gax | typeof fallback

: loaded instance of google-gax. Useful if you need to avoid loading the default gRPC version and want to use the fallback HTTP implementation. Load only fallback version and pass it to the constructor: ``` const gax = require('google-gax/build/src/fallback'); // avoids loading google-gax with gRPC const client = new MachineLearningRunsClient({fallback: true}, gax); ```

Properties

apiEndpoint

get apiEndpoint(): string;

The DNS address for this API service.

apiEndpoint

static get apiEndpoint(): string;

The DNS address for this API service - same as servicePath.

auth

auth: gax.GoogleAuth;

descriptors

descriptors: Descriptors;

innerApiCalls

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

locationsClient

locationsClient: LocationsClient;

machineLearningRunsStub

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

operationsClient

operationsClient: gax.OperationsClient;

pathTemplates

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

port

static get port(): number;

The port for this API service.

scopes

static get scopes(): string[];

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

servicePath

static get servicePath(): string;

The DNS address for this API service.

universeDomain

get universeDomain(): string;

warn

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

Methods

cancelOperation(request, optionsOrCallback, callback)

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

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

Parameters
Name Description
request CancelOperationRequest

The request object that will be sent.
optionsOrCallback CallOptions | Callback<protos.google.longrunning.CancelOperationRequest, protos.google.protobuf.Empty, {} | undefined | null>
callback Callback<protos.google.longrunning.CancelOperationRequest, protos.google.protobuf.Empty, {} | undefined | null>

The function which will be called with the result of the API call. {Promise} - The promise which resolves when API call finishes. The promise has a method named "cancel" which cancels the ongoing API call.
Returns
Type Description
Promise<protos.google.protobuf.Empty>
Example 

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

checkCreateMachineLearningRunProgress(name)

checkCreateMachineLearningRunProgress(name: string): Promise<LROperation<protos.google.cloud.hypercomputecluster.v1alpha.MachineLearningRun, protos.google.cloud.hypercomputecluster.v1alpha.OperationMetadata>>;

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

Parameter
Name Description
name string

The operation name that will be passed.
Returns
Type Description
Promise<LROperation<protos.google.cloud.hypercomputecluster.v1alpha.MachineLearningRun, protos.google.cloud.hypercomputecluster.v1alpha.OperationMetadata>>

{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. Parent format: projects/{project}/locations/{location}
   */
  // const parent = 'abc123'
  /**
   *  Required. The Machine Learning Run to create.
   */
  // const machineLearningRun = {}
  /**
   *  Optional. The ID of the Machine Learning Run to create.
   */
  // const machineLearningRunId = 'abc123'

  // Imports the Hypercomputecluster library
  const {MachineLearningRunsClient} = require('@google-cloud/hypercomputecluster').v1alpha;

  // Instantiates a client
  const hypercomputeclusterClient = new MachineLearningRunsClient();

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

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

  callCreateMachineLearningRun();

checkDeleteMachineLearningRunProgress(name)

checkDeleteMachineLearningRunProgress(name: string): Promise<LROperation<protos.google.protobuf.Empty, protos.google.cloud.hypercomputecluster.v1alpha.OperationMetadata>>;

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

Parameter
Name Description
name string

The operation name that will be passed.
Returns
Type Description
Promise<LROperation<protos.google.protobuf.Empty, protos.google.cloud.hypercomputecluster.v1alpha.OperationMetadata>>

{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.
   *  projects/{project}/locations/{location}/machineLearningRuns/{machineLearningRun}
   */
  // const name = 'abc123'
  /**
   *  Optional. Etag for the run. Etag gets updated with every update/create
   *  operation. If provided, it must match the server's etag.
   */
  // const etag = 'abc123'

  // Imports the Hypercomputecluster library
  const {MachineLearningRunsClient} = require('@google-cloud/hypercomputecluster').v1alpha;

  // Instantiates a client
  const hypercomputeclusterClient = new MachineLearningRunsClient();

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

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

  callDeleteMachineLearningRun();

checkUpdateMachineLearningRunProgress(name)

checkUpdateMachineLearningRunProgress(name: string): Promise<LROperation<protos.google.cloud.hypercomputecluster.v1alpha.MachineLearningRun, protos.google.cloud.hypercomputecluster.v1alpha.OperationMetadata>>;

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

Parameter
Name Description
name string

The operation name that will be passed.
Returns
Type Description
Promise<LROperation<protos.google.cloud.hypercomputecluster.v1alpha.MachineLearningRun, protos.google.cloud.hypercomputecluster.v1alpha.OperationMetadata>>

{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 Machine Learning Run to update.
   */
  // const machineLearningRun = {}
  /**
   *  Optional. Used to identify fields to be updated. Allowed fields is *, we
   *  don't support partial updates.
   */
  // const updateMask = {}

  // Imports the Hypercomputecluster library
  const {MachineLearningRunsClient} = require('@google-cloud/hypercomputecluster').v1alpha;

  // Instantiates a client
  const hypercomputeclusterClient = new MachineLearningRunsClient();

  async function callUpdateMachineLearningRun() {
    // Construct request
    const request = {
      machineLearningRun,
    };

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

  callUpdateMachineLearningRun();

close()

close(): Promise<void>;

Terminate the gRPC channel and close the client.

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

Returns
Type Description
Promise<void>

{Promise} A promise that resolves when the client is closed.

clusterPath(project, location, cluster)

clusterPath(project: string, location: string, cluster: string): string;

Return a fully-qualified cluster resource name string.

Parameters
Name Description
project string
location string
cluster string
Returns
Type Description
string

{string} Resource name string.

createMachineLearningRun(request, options)

createMachineLearningRun(request?: protos.google.cloud.hypercomputecluster.v1alpha.ICreateMachineLearningRunRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.cloud.hypercomputecluster.v1alpha.IMachineLearningRun, protos.google.cloud.hypercomputecluster.v1alpha.IOperationMetadata>,
        protos.google.longrunning.IOperation | undefined,
        {} | undefined
    ]>;

Creates a Machine Learning Run.

Parameters
Name Description
request ICreateMachineLearningRunRequest

The request object that will be sent.
options CallOptions

Call options. See CallOptions for more details.
Returns
Type Description
Promise<[ LROperation<protos.google.cloud.hypercomputecluster.v1alpha.IMachineLearningRun, protos.google.cloud.hypercomputecluster.v1alpha.IOperationMetadata>, 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. Parent format: projects/{project}/locations/{location}
   */
  // const parent = 'abc123'
  /**
   *  Required. The Machine Learning Run to create.
   */
  // const machineLearningRun = {}
  /**
   *  Optional. The ID of the Machine Learning Run to create.
   */
  // const machineLearningRunId = 'abc123'

  // Imports the Hypercomputecluster library
  const {MachineLearningRunsClient} = require('@google-cloud/hypercomputecluster').v1alpha;

  // Instantiates a client
  const hypercomputeclusterClient = new MachineLearningRunsClient();

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

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

  callCreateMachineLearningRun();

createMachineLearningRun(request, options, callback)

createMachineLearningRun(request: protos.google.cloud.hypercomputecluster.v1alpha.ICreateMachineLearningRunRequest, options: CallOptions, callback: Callback<LROperation<protos.google.cloud.hypercomputecluster.v1alpha.IMachineLearningRun, protos.google.cloud.hypercomputecluster.v1alpha.IOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;
Parameters
Name Description
request ICreateMachineLearningRunRequest
options CallOptions
callback Callback<LROperation<protos.google.cloud.hypercomputecluster.v1alpha.IMachineLearningRun, protos.google.cloud.hypercomputecluster.v1alpha.IOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>
Returns
Type Description
void

createMachineLearningRun(request, callback)

createMachineLearningRun(request: protos.google.cloud.hypercomputecluster.v1alpha.ICreateMachineLearningRunRequest, callback: Callback<LROperation<protos.google.cloud.hypercomputecluster.v1alpha.IMachineLearningRun, protos.google.cloud.hypercomputecluster.v1alpha.IOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;
Parameters
Name Description
request ICreateMachineLearningRunRequest
callback Callback<LROperation<protos.google.cloud.hypercomputecluster.v1alpha.IMachineLearningRun, protos.google.cloud.hypercomputecluster.v1alpha.IOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>
Returns
Type Description
void

deleteMachineLearningRun(request, options)

deleteMachineLearningRun(request?: protos.google.cloud.hypercomputecluster.v1alpha.IDeleteMachineLearningRunRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.hypercomputecluster.v1alpha.IOperationMetadata>,
        protos.google.longrunning.IOperation | undefined,
        {} | undefined
    ]>;

Deletes a Machine Learning Run.

Parameters
Name Description
request IDeleteMachineLearningRunRequest

The request object that will be sent.
options CallOptions

Call options. See CallOptions for more details.
Returns
Type Description
Promise<[ LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.hypercomputecluster.v1alpha.IOperationMetadata>, 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.
   *  projects/{project}/locations/{location}/machineLearningRuns/{machineLearningRun}
   */
  // const name = 'abc123'
  /**
   *  Optional. Etag for the run. Etag gets updated with every update/create
   *  operation. If provided, it must match the server's etag.
   */
  // const etag = 'abc123'

  // Imports the Hypercomputecluster library
  const {MachineLearningRunsClient} = require('@google-cloud/hypercomputecluster').v1alpha;

  // Instantiates a client
  const hypercomputeclusterClient = new MachineLearningRunsClient();

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

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

  callDeleteMachineLearningRun();

deleteMachineLearningRun(request, options, callback)

deleteMachineLearningRun(request: protos.google.cloud.hypercomputecluster.v1alpha.IDeleteMachineLearningRunRequest, options: CallOptions, callback: Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.hypercomputecluster.v1alpha.IOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;
Parameters
Name Description
request IDeleteMachineLearningRunRequest
options CallOptions
callback Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.hypercomputecluster.v1alpha.IOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>
Returns
Type Description
void

deleteMachineLearningRun(request, callback)

deleteMachineLearningRun(request: protos.google.cloud.hypercomputecluster.v1alpha.IDeleteMachineLearningRunRequest, callback: Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.hypercomputecluster.v1alpha.IOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;
Parameters
Name Description
request IDeleteMachineLearningRunRequest
callback Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.hypercomputecluster.v1alpha.IOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>
Returns
Type Description
void

deleteOperation(request, optionsOrCallback, callback)

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

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

Parameters
Name Description
request DeleteOperationRequest

The request object that will be sent.
optionsOrCallback CallOptions | Callback<protos.google.protobuf.Empty, protos.google.longrunning.DeleteOperationRequest, {} | null | undefined>
callback Callback<protos.google.protobuf.Empty, protos.google.longrunning.DeleteOperationRequest, {} | null | undefined>

The function which will be called with the result of the API call. {Promise} - The promise which resolves when API call finishes. The promise has a method named "cancel" which cancels the ongoing API call.
Returns
Type Description
Promise<protos.google.protobuf.Empty>
Example 

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

getLocation(request, options, callback)

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

Gets information about a location.

Parameters
Name Description
request LocationProtos.google.cloud.location.IGetLocationRequest

The request object that will be sent.
options CallOptions | Callback<google.cloud.location.ILocation, google.cloud.location.IGetLocationRequest | null | undefined, {} | null | undefined>

Call options. See CallOptions for more details.
callback Callback<google.cloud.location.ILocation, google.cloud.location.IGetLocationRequest | null | undefined, {} | null | undefined>
Returns
Type Description
Promise<google.cloud.location.ILocation>

{Promise} - The promise which resolves to an array. The first element of the array is an object representing . Please see the documentation for more details and examples.
Example 

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

getMachineLearningRun(request, options)

getMachineLearningRun(request?: protos.google.cloud.hypercomputecluster.v1alpha.IGetMachineLearningRunRequest, options?: CallOptions): Promise<[
        protos.google.cloud.hypercomputecluster.v1alpha.IMachineLearningRun,
        protos.google.cloud.hypercomputecluster.v1alpha.IGetMachineLearningRunRequest | undefined,
        {} | undefined
    ]>;

Gets a Machine Learning Run.

Parameters
Name Description
request IGetMachineLearningRunRequest

The request object that will be sent.
options CallOptions

Call options. See CallOptions for more details.
Returns
Type Description
Promise<[ protos.google.cloud.hypercomputecluster.v1alpha.IMachineLearningRun, protos.google.cloud.hypercomputecluster.v1alpha.IGetMachineLearningRunRequest | undefined, {} | undefined ]>

{Promise} - The promise which resolves to an array. The first element of the array is an object representing . Please see the documentation for more details and examples.
Example 

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

  // Imports the Hypercomputecluster library
  const {MachineLearningRunsClient} = require('@google-cloud/hypercomputecluster').v1alpha;

  // Instantiates a client
  const hypercomputeclusterClient = new MachineLearningRunsClient();

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

    // Run request
    const response = await hypercomputeclusterClient.getMachineLearningRun(request);
    console.log(response);
  }

  callGetMachineLearningRun();

getMachineLearningRun(request, options, callback)

getMachineLearningRun(request: protos.google.cloud.hypercomputecluster.v1alpha.IGetMachineLearningRunRequest, options: CallOptions, callback: Callback<protos.google.cloud.hypercomputecluster.v1alpha.IMachineLearningRun, protos.google.cloud.hypercomputecluster.v1alpha.IGetMachineLearningRunRequest | null | undefined, {} | null | undefined>): void;
Parameters
Name Description
request IGetMachineLearningRunRequest
options CallOptions
callback Callback<protos.google.cloud.hypercomputecluster.v1alpha.IMachineLearningRun, protos.google.cloud.hypercomputecluster.v1alpha.IGetMachineLearningRunRequest | null | undefined, {} | null | undefined>
Returns
Type Description
void

getMachineLearningRun(request, callback)

getMachineLearningRun(request: protos.google.cloud.hypercomputecluster.v1alpha.IGetMachineLearningRunRequest, callback: Callback<protos.google.cloud.hypercomputecluster.v1alpha.IMachineLearningRun, protos.google.cloud.hypercomputecluster.v1alpha.IGetMachineLearningRunRequest | null | undefined, {} | null | undefined>): void;
Parameters
Name Description
request IGetMachineLearningRunRequest
callback Callback<protos.google.cloud.hypercomputecluster.v1alpha.IMachineLearningRun, protos.google.cloud.hypercomputecluster.v1alpha.IGetMachineLearningRunRequest | null | undefined, {} | null | undefined>
Returns
Type Description
void

getOperation(request, optionsOrCallback, callback)

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

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

Parameters
Name Description
request GetOperationRequest

The request object that will be sent.
optionsOrCallback CallOptions | Callback<protos.google.longrunning.Operation, protos.google.longrunning.GetOperationRequest, {} | null | undefined>
callback Callback<protos.google.longrunning.Operation, protos.google.longrunning.GetOperationRequest, {} | null | undefined>

The function which will be called with the result of the API call.

The second parameter to the callback is an object representing . {Promise} - The promise which resolves to an array. The first element of the array is an object representing . The promise has a method named "cancel" which cancels the ongoing API call.
Returns
Type Description
Promise<[protos.google.longrunning.Operation]>
Example 

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

getProfileSession(request, options)

getProfileSession(request?: protos.google.cloud.hypercomputecluster.v1alpha.IGetProfileSessionRequest, options?: CallOptions): Promise<[
        protos.google.cloud.hypercomputecluster.v1alpha.IProfileSession,
        protos.google.cloud.hypercomputecluster.v1alpha.IGetProfileSessionRequest | undefined,
        {} | undefined
    ]>;

Gets a Profile Session.

Parameters
Name Description
request IGetProfileSessionRequest

The request object that will be sent.
options CallOptions

Call options. See CallOptions for more details.
Returns
Type Description
Promise<[ protos.google.cloud.hypercomputecluster.v1alpha.IProfileSession, protos.google.cloud.hypercomputecluster.v1alpha.IGetProfileSessionRequest | undefined, {} | undefined ]>

{Promise} - The promise which resolves to an array. The first element of the array is an object representing ProfileSession. 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.
   *  projects/{project}/locations/{location}/machineLearningRuns/{machineLearningRun}/profileSessions/{profileSession}
   */
  // const name = 'abc123'

  // Imports the Hypercomputecluster library
  const {MachineLearningRunsClient} = require('@google-cloud/hypercomputecluster').v1alpha;

  // Instantiates a client
  const hypercomputeclusterClient = new MachineLearningRunsClient();

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

    // Run request
    const response = await hypercomputeclusterClient.getProfileSession(request);
    console.log(response);
  }

  callGetProfileSession();

getProfileSession(request, options, callback)

getProfileSession(request: protos.google.cloud.hypercomputecluster.v1alpha.IGetProfileSessionRequest, options: CallOptions, callback: Callback<protos.google.cloud.hypercomputecluster.v1alpha.IProfileSession, protos.google.cloud.hypercomputecluster.v1alpha.IGetProfileSessionRequest | null | undefined, {} | null | undefined>): void;
Parameters
Name Description
request IGetProfileSessionRequest
options CallOptions
callback Callback<protos.google.cloud.hypercomputecluster.v1alpha.IProfileSession, protos.google.cloud.hypercomputecluster.v1alpha.IGetProfileSessionRequest | null | undefined, {} | null | undefined>
Returns
Type Description
void

getProfileSession(request, callback)

getProfileSession(request: protos.google.cloud.hypercomputecluster.v1alpha.IGetProfileSessionRequest, callback: Callback<protos.google.cloud.hypercomputecluster.v1alpha.IProfileSession, protos.google.cloud.hypercomputecluster.v1alpha.IGetProfileSessionRequest | null | undefined, {} | null | undefined>): void;
Parameters
Name Description
request IGetProfileSessionRequest
callback Callback<protos.google.cloud.hypercomputecluster.v1alpha.IProfileSession, protos.google.cloud.hypercomputecluster.v1alpha.IGetProfileSessionRequest | null | undefined, {} | null | undefined>
Returns
Type Description
void

getProjectId()

getProjectId(): Promise<string>;
Returns
Type Description
Promise<string>

getProjectId(callback)

getProjectId(callback: Callback<string, undefined, undefined>): void;
Parameter
Name Description
callback Callback<string, undefined, undefined>
Returns
Type Description
void

initialize()

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

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

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

Returns
Type Description
Promise<{ [name: string]: Function; }>

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

listLocationsAsync(request, options)

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

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

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

Parameters
Name Description
request LocationProtos.google.cloud.location.IListLocationsRequest

The request object that will be sent.
options CallOptions

Call options. See CallOptions for more details.
Returns
Type Description
AsyncIterable<google.cloud.location.ILocation>

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

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

listMachineLearningRuns(request, options)

listMachineLearningRuns(request?: protos.google.cloud.hypercomputecluster.v1alpha.IListMachineLearningRunsRequest, options?: CallOptions): Promise<[
        protos.google.cloud.hypercomputecluster.v1alpha.IMachineLearningRun[],
        protos.google.cloud.hypercomputecluster.v1alpha.IListMachineLearningRunsRequest | null,
        protos.google.cloud.hypercomputecluster.v1alpha.IListMachineLearningRunsResponse
    ]>;

Lists Machine Learning Runs.

Parameters
Name Description
request IListMachineLearningRunsRequest

The request object that will be sent.
options CallOptions

Call options. See CallOptions for more details.
Returns
Type Description
Promise<[ protos.google.cloud.hypercomputecluster.v1alpha.IMachineLearningRun[], protos.google.cloud.hypercomputecluster.v1alpha.IListMachineLearningRunsRequest | null, protos.google.cloud.hypercomputecluster.v1alpha.IListMachineLearningRunsResponse ]>

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

listMachineLearningRuns(request, options, callback)

listMachineLearningRuns(request: protos.google.cloud.hypercomputecluster.v1alpha.IListMachineLearningRunsRequest, options: CallOptions, callback: PaginationCallback<protos.google.cloud.hypercomputecluster.v1alpha.IListMachineLearningRunsRequest, protos.google.cloud.hypercomputecluster.v1alpha.IListMachineLearningRunsResponse | null | undefined, protos.google.cloud.hypercomputecluster.v1alpha.IMachineLearningRun>): void;
Parameters
Name Description
request IListMachineLearningRunsRequest
options CallOptions
callback PaginationCallback<protos.google.cloud.hypercomputecluster.v1alpha.IListMachineLearningRunsRequest, protos.google.cloud.hypercomputecluster.v1alpha.IListMachineLearningRunsResponse | null | undefined, protos.google.cloud.hypercomputecluster.v1alpha.IMachineLearningRun>
Returns
Type Description
void

listMachineLearningRuns(request, callback)

listMachineLearningRuns(request: protos.google.cloud.hypercomputecluster.v1alpha.IListMachineLearningRunsRequest, callback: PaginationCallback<protos.google.cloud.hypercomputecluster.v1alpha.IListMachineLearningRunsRequest, protos.google.cloud.hypercomputecluster.v1alpha.IListMachineLearningRunsResponse | null | undefined, protos.google.cloud.hypercomputecluster.v1alpha.IMachineLearningRun>): void;
Parameters
Name Description
request IListMachineLearningRunsRequest
callback PaginationCallback<protos.google.cloud.hypercomputecluster.v1alpha.IListMachineLearningRunsRequest, protos.google.cloud.hypercomputecluster.v1alpha.IListMachineLearningRunsResponse | null | undefined, protos.google.cloud.hypercomputecluster.v1alpha.IMachineLearningRun>
Returns
Type Description
void

listMachineLearningRunsAsync(request, options)

listMachineLearningRunsAsync(request?: protos.google.cloud.hypercomputecluster.v1alpha.IListMachineLearningRunsRequest, options?: CallOptions): AsyncIterable<protos.google.cloud.hypercomputecluster.v1alpha.IMachineLearningRun>;

Equivalent to listMachineLearningRuns, but returns an iterable object.

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

Parameters
Name Description
request IListMachineLearningRunsRequest

The request object that will be sent.
options CallOptions

Call options. See CallOptions for more details.
Returns
Type Description
AsyncIterable<protos.google.cloud.hypercomputecluster.v1alpha.IMachineLearningRun>

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

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. projects/{project}/locations/{location}
   */
  // const parent = 'abc123'
  /**
   *  Optional. The maximum number of Machine Learning Runs to return. The
   *  service may return fewer than this value. If unspecified, at most 10
   *  Machine Learning Runs will be returned. The maximum value is 1000; values
   *  above 1000 will be coerced to 1000. Please refer to
   *  https://google.aip.dev/158 for more details.
   */
  // const pageSize = 1234
  /**
   *  Optional. A page token, received from a previous `ListMachineLearningRuns`
   *  call. Provide this to retrieve the subsequent page. Please refer to
   *  https://google.aip.dev/158 for more details.
   */
  // const pageToken = 'abc123'
  /**
   *  Optional. An expression for filtering the results of the request.
   *  Supported filter fields are:
   *  - run_id (string): The ID of the run (e.g., "run-1").
   *  - run_set (string): The run set (e.g., "run-set-1").
   *  - display_name (string): The display name of the run (e.g.,
   *  "display-name-1").
   *  - state (enum): The state of the run (e.g., "STATE_COMPLETED").
   *  - region (string): The region of the run (e.g., "us-central1").
   *  - orchestrator (enum): The orchestrator used for the run (e.g.,
   *  "ORCHESTRATOR_GKE").
   *  - create_time (timestamp): The creation timestamp of the run.
   *  - update_time (timestamp): The last update timestamp of the run.
   *  - etag (string): The ETag of the run.
   *  Filter expressions can be combined using "AND" and "OR" operators.
   *  Examples:
   *  To filter by a single field:
   *    `run_set = "run-set-1"`
   *    `state = "STATE_ACTIVE"`
   *  To filter by multiple fields:
   *    `run_set = "run-set-1" AND state = "STATE_ACTIVE"`
   *    `region = "us-central1" AND orchestrator = "ORCHESTRATOR_GKE"`
   *  To filter by timestamp:
   *    `create_time > "2025-05-26T10:00:00Z"`
   */
  // const filter = 'abc123'
  /**
   *  Optional. A comma-separated list of fields to order by, sorted in ascending
   *  order. Use "desc" after a field name for descending.
   *  Supported fields:
   *    * `run_id`
   *    * `run_set`
   *    * `display_name`
   *    * `region`
   *    * `orchestrator`
   *    * `state`
   *    * `create_time`
   *    * `update_time`
   *  Example: `update_time desc, create_time`.
   */
  // const orderBy = 'abc123'

  // Imports the Hypercomputecluster library
  const {MachineLearningRunsClient} = require('@google-cloud/hypercomputecluster').v1alpha;

  // Instantiates a client
  const hypercomputeclusterClient = new MachineLearningRunsClient();

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

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

  callListMachineLearningRuns();

listMachineLearningRunsStream(request, options)

listMachineLearningRunsStream(request?: protos.google.cloud.hypercomputecluster.v1alpha.IListMachineLearningRunsRequest, options?: CallOptions): Transform;

Equivalent to listMachineLearningRuns, but returns a NodeJS Stream object.

Parameters
Name Description
request IListMachineLearningRunsRequest

The request object that will be sent.
options CallOptions

Call options. See CallOptions for more details.
Returns
Type Description
Transform

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

listOperationsAsync(request, options)

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

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

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

Parameters
Name Description
request ListOperationsRequest

The request object that will be sent.
options CallOptions

Optional parameters. You can override the default settings for this call, e.g, timeout, retries, paginations, etc. See gax.CallOptions for the details.
Returns
Type Description
AsyncIterable<protos.google.longrunning.IOperation>

{Object} An iterable Object that conforms to iteration protocols.
Example 

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

listProfileSessions(request, options)

listProfileSessions(request?: protos.google.cloud.hypercomputecluster.v1alpha.IListProfileSessionsRequest, options?: CallOptions): Promise<[
        protos.google.cloud.hypercomputecluster.v1alpha.IProfileSession[],
        protos.google.cloud.hypercomputecluster.v1alpha.IListProfileSessionsRequest | null,
        protos.google.cloud.hypercomputecluster.v1alpha.IListProfileSessionsResponse
    ]>;

Lists Profile Sessions for a Machine Learning Run.

Parameters
Name Description
request IListProfileSessionsRequest

The request object that will be sent.
options CallOptions

Call options. See CallOptions for more details.
Returns
Type Description
Promise<[ protos.google.cloud.hypercomputecluster.v1alpha.IProfileSession[], protos.google.cloud.hypercomputecluster.v1alpha.IListProfileSessionsRequest | null, protos.google.cloud.hypercomputecluster.v1alpha.IListProfileSessionsResponse ]>

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

listProfileSessions(request, options, callback)

listProfileSessions(request: protos.google.cloud.hypercomputecluster.v1alpha.IListProfileSessionsRequest, options: CallOptions, callback: PaginationCallback<protos.google.cloud.hypercomputecluster.v1alpha.IListProfileSessionsRequest, protos.google.cloud.hypercomputecluster.v1alpha.IListProfileSessionsResponse | null | undefined, protos.google.cloud.hypercomputecluster.v1alpha.IProfileSession>): void;
Parameters
Name Description
request IListProfileSessionsRequest
options CallOptions
callback PaginationCallback<protos.google.cloud.hypercomputecluster.v1alpha.IListProfileSessionsRequest, protos.google.cloud.hypercomputecluster.v1alpha.IListProfileSessionsResponse | null | undefined, protos.google.cloud.hypercomputecluster.v1alpha.IProfileSession>
Returns
Type Description
void

listProfileSessions(request, callback)

listProfileSessions(request: protos.google.cloud.hypercomputecluster.v1alpha.IListProfileSessionsRequest, callback: PaginationCallback<protos.google.cloud.hypercomputecluster.v1alpha.IListProfileSessionsRequest, protos.google.cloud.hypercomputecluster.v1alpha.IListProfileSessionsResponse | null | undefined, protos.google.cloud.hypercomputecluster.v1alpha.IProfileSession>): void;
Parameters
Name Description
request IListProfileSessionsRequest
callback PaginationCallback<protos.google.cloud.hypercomputecluster.v1alpha.IListProfileSessionsRequest, protos.google.cloud.hypercomputecluster.v1alpha.IListProfileSessionsResponse | null | undefined, protos.google.cloud.hypercomputecluster.v1alpha.IProfileSession>
Returns
Type Description
void

listProfileSessionsAsync(request, options)

listProfileSessionsAsync(request?: protos.google.cloud.hypercomputecluster.v1alpha.IListProfileSessionsRequest, options?: CallOptions): AsyncIterable<protos.google.cloud.hypercomputecluster.v1alpha.IProfileSession>;

Equivalent to listProfileSessions, but returns an iterable object.

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

Parameters
Name Description
request IListProfileSessionsRequest

The request object that will be sent.
options CallOptions

Call options. See CallOptions for more details.
Returns
Type Description
AsyncIterable<protos.google.cloud.hypercomputecluster.v1alpha.IProfileSession>

{Object} An iterable Object that allows async iteration. When you iterate the returned iterable, each element will be an object representing ProfileSession. 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. Parent format:
   *  projects/{project}/locations/{location}/machineLearningRuns/{machineLearningRun}
   */
  // const parent = 'abc123'
  /**
   *  Optional. The maximum number of Profile Sessions to return. The service may
   *  return fewer than this value.
   *  If unspecified, at most 50 Profile Sessions will be returned.
   *  The maximum value is 1000; values above 1000 will be coerced to 1000.
   */
  // const pageSize = 1234
  /**
   *  Optional. A page token, received from a previous `ListProfileSessions`
   *  call. Provide this to retrieve the subsequent page.
   */
  // const pageToken = 'abc123'

  // Imports the Hypercomputecluster library
  const {MachineLearningRunsClient} = require('@google-cloud/hypercomputecluster').v1alpha;

  // Instantiates a client
  const hypercomputeclusterClient = new MachineLearningRunsClient();

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

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

  callListProfileSessions();

listProfileSessionsStream(request, options)

listProfileSessionsStream(request?: protos.google.cloud.hypercomputecluster.v1alpha.IListProfileSessionsRequest, options?: CallOptions): Transform;

Equivalent to listProfileSessions, but returns a NodeJS Stream object.

Parameters
Name Description
request IListProfileSessionsRequest

The request object that will be sent.
options CallOptions

Call options. See CallOptions for more details.
Returns
Type Description
Transform

{Stream} An object stream which emits an object representing ProfileSession 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 listProfileSessionsAsync() method described below for async iteration which you can stop as needed. Please see the documentation for more details and examples.

locationPath(project, location)

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

Return a fully-qualified location resource name string.

Parameters
Name Description
project string
location string
Returns
Type Description
string

{string} Resource name string.

machineLearningRunPath(project, location, machineLearningRun)

machineLearningRunPath(project: string, location: string, machineLearningRun: string): string;

Return a fully-qualified machineLearningRun resource name string.

Parameters
Name Description
project string
location string
machineLearningRun string
Returns
Type Description
string

{string} Resource name string.

matchClusterFromClusterName(clusterName)

matchClusterFromClusterName(clusterName: string): string | number;

Parse the cluster from Cluster resource.

Parameter
Name Description
clusterName string

A fully-qualified path representing Cluster resource.
Returns
Type Description
string | number

{string} A string representing the cluster.

matchLocationFromClusterName(clusterName)

matchLocationFromClusterName(clusterName: string): string | number;

Parse the location from Cluster resource.

Parameter
Name Description
clusterName string

A fully-qualified path representing Cluster resource.
Returns
Type Description
string | number

{string} A string representing the location.

matchLocationFromLocationName(locationName)

matchLocationFromLocationName(locationName: string): string | number;

Parse the location from Location resource.

Parameter
Name Description
locationName string

A fully-qualified path representing Location resource.
Returns
Type Description
string | number

{string} A string representing the location.

matchLocationFromMachineLearningRunName(machineLearningRunName)

matchLocationFromMachineLearningRunName(machineLearningRunName: string): string | number;

Parse the location from MachineLearningRun resource.

Parameter
Name Description
machineLearningRunName string

A fully-qualified path representing MachineLearningRun resource.
Returns
Type Description
string | number

{string} A string representing the location.

matchLocationFromProfileSessionName(profileSessionName)

matchLocationFromProfileSessionName(profileSessionName: string): string | number;

Parse the location from ProfileSession resource.

Parameter
Name Description
profileSessionName string

A fully-qualified path representing ProfileSession resource.
Returns
Type Description
string | number

{string} A string representing the location.

matchMachineLearningRunFromMachineLearningRunName(machineLearningRunName)

matchMachineLearningRunFromMachineLearningRunName(machineLearningRunName: string): string | number;

Parse the machine_learning_run from MachineLearningRun resource.

Parameter
Name Description
machineLearningRunName string

A fully-qualified path representing MachineLearningRun resource.
Returns
Type Description
string | number

{string} A string representing the machine_learning_run.

matchMachineLearningRunFromProfileSessionName(profileSessionName)

matchMachineLearningRunFromProfileSessionName(profileSessionName: string): string | number;

Parse the machine_learning_run from ProfileSession resource.

Parameter
Name Description
profileSessionName string

A fully-qualified path representing ProfileSession resource.
Returns
Type Description
string | number

{string} A string representing the machine_learning_run.

matchProfileSessionFromProfileSessionName(profileSessionName)

matchProfileSessionFromProfileSessionName(profileSessionName: string): string | number;

Parse the profile_session from ProfileSession resource.

Parameter
Name Description
profileSessionName string

A fully-qualified path representing ProfileSession resource.
Returns
Type Description
string | number

{string} A string representing the profile_session.

matchProjectFromClusterName(clusterName)

matchProjectFromClusterName(clusterName: string): string | number;

Parse the project from Cluster resource.

Parameter
Name Description
clusterName string

A fully-qualified path representing Cluster resource.
Returns
Type Description
string | number

{string} A string representing the project.

matchProjectFromLocationName(locationName)

matchProjectFromLocationName(locationName: string): string | number;

Parse the project from Location resource.

Parameter
Name Description
locationName string

A fully-qualified path representing Location resource.
Returns
Type Description
string | number

{string} A string representing the project.

matchProjectFromMachineLearningRunName(machineLearningRunName)

matchProjectFromMachineLearningRunName(machineLearningRunName: string): string | number;

Parse the project from MachineLearningRun resource.

Parameter
Name Description
machineLearningRunName string

A fully-qualified path representing MachineLearningRun resource.
Returns
Type Description
string | number

{string} A string representing the project.

matchProjectFromProfileSessionName(profileSessionName)

matchProjectFromProfileSessionName(profileSessionName: string): string | number;

Parse the project from ProfileSession resource.

Parameter
Name Description
profileSessionName string

A fully-qualified path representing ProfileSession resource.
Returns
Type Description
string | number

{string} A string representing the project.

matchProjectFromProjectName(projectName)

matchProjectFromProjectName(projectName: string): string | number;

Parse the project from Project resource.

Parameter
Name Description
projectName string

A fully-qualified path representing Project resource.
Returns
Type Description
string | number

{string} A string representing the project.

profileSessionPath(project, location, machineLearningRun, profileSession)

profileSessionPath(project: string, location: string, machineLearningRun: string, profileSession: string): string;

Return a fully-qualified profileSession resource name string.

Parameters
Name Description
project string
location string
machineLearningRun string
profileSession string
Returns
Type Description
string

{string} Resource name string.

projectPath(project)

projectPath(project: string): string;

Return a fully-qualified project resource name string.

Parameter
Name Description
project string
Returns
Type Description
string

{string} Resource name string.

updateMachineLearningRun(request, options)

updateMachineLearningRun(request?: protos.google.cloud.hypercomputecluster.v1alpha.IUpdateMachineLearningRunRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.cloud.hypercomputecluster.v1alpha.IMachineLearningRun, protos.google.cloud.hypercomputecluster.v1alpha.IOperationMetadata>,
        protos.google.longrunning.IOperation | undefined,
        {} | undefined
    ]>;

Updates an Machine Learning Run.

Parameters
Name Description
request IUpdateMachineLearningRunRequest

The request object that will be sent.
options CallOptions

Call options. See CallOptions for more details.
Returns
Type Description
Promise<[ LROperation<protos.google.cloud.hypercomputecluster.v1alpha.IMachineLearningRun, protos.google.cloud.hypercomputecluster.v1alpha.IOperationMetadata>, 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 Machine Learning Run to update.
   */
  // const machineLearningRun = {}
  /**
   *  Optional. Used to identify fields to be updated. Allowed fields is *, we
   *  don't support partial updates.
   */
  // const updateMask = {}

  // Imports the Hypercomputecluster library
  const {MachineLearningRunsClient} = require('@google-cloud/hypercomputecluster').v1alpha;

  // Instantiates a client
  const hypercomputeclusterClient = new MachineLearningRunsClient();

  async function callUpdateMachineLearningRun() {
    // Construct request
    const request = {
      machineLearningRun,
    };

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

  callUpdateMachineLearningRun();

updateMachineLearningRun(request, options, callback)

updateMachineLearningRun(request: protos.google.cloud.hypercomputecluster.v1alpha.IUpdateMachineLearningRunRequest, options: CallOptions, callback: Callback<LROperation<protos.google.cloud.hypercomputecluster.v1alpha.IMachineLearningRun, protos.google.cloud.hypercomputecluster.v1alpha.IOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;
Parameters
Name Description
request IUpdateMachineLearningRunRequest
options CallOptions
callback Callback<LROperation<protos.google.cloud.hypercomputecluster.v1alpha.IMachineLearningRun, protos.google.cloud.hypercomputecluster.v1alpha.IOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>
Returns
Type Description
void

updateMachineLearningRun(request, callback)

updateMachineLearningRun(request: protos.google.cloud.hypercomputecluster.v1alpha.IUpdateMachineLearningRunRequest, callback: Callback<LROperation<protos.google.cloud.hypercomputecluster.v1alpha.IMachineLearningRun, protos.google.cloud.hypercomputecluster.v1alpha.IOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;
Parameters
Name Description
request IUpdateMachineLearningRunRequest
callback Callback<LROperation<protos.google.cloud.hypercomputecluster.v1alpha.IMachineLearningRun, protos.google.cloud.hypercomputecluster.v1alpha.IOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>
Returns
Type Description
void