Class v1beta1.PipelineServiceClient (2.3.0)

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A service for creating and managing Vertex AI's pipelines. This includes both TrainingPipeline resources (used for AutoML and custom training) and PipelineJob resources (used for Vertex AI Pipelines). v1beta1

Package

@google-cloud/aiplatform

Constructors

(constructor)(opts, gaxInstance)

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

Construct an instance of PipelineServiceClient.

Parameters
NameDescription
opts ClientOptions
gaxInstance typeof gax | typeof gax.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 PipelineServiceClient({fallback: 'rest'}, gax); ```

Properties

apiEndpoint

static get apiEndpoint(): string;

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

auth

auth: gax.GoogleAuth;

descriptors

descriptors: Descriptors;

iamClient

iamClient: IamClient;

innerApiCalls

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

locationsClient

locationsClient: LocationsClient;

operationsClient

operationsClient: gax.OperationsClient;

pathTemplates

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

pipelineServiceStub

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

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 protos.google.longrunning.CancelOperationRequest

The request object that will be sent.

options gax.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]https://googleapis.github.io/gax-nodejs/global.html#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: ''});

cancelPipelineJob(request, options)

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

Cancels a PipelineJob. Starts asynchronous cancellation on the PipelineJob. The server makes a best effort to cancel the pipeline, but success is not guaranteed. Clients can use or other methods to check whether the cancellation succeeded or whether the pipeline completed despite cancellation. On successful cancellation, the PipelineJob is not deleted; instead it becomes a pipeline with a value with a of 1, corresponding to Code.CANCELLED, and is set to CANCELLED.

Parameters
NameDescription
request protos.google.cloud.aiplatform.v1beta1.ICancelPipelineJobRequest

The request object that will be sent.

options CallOptions

Call options. See CallOptions for more details.

Returns
TypeDescription
Promise<[ protos.google.protobuf.IEmpty, (protos.google.cloud.aiplatform.v1beta1.ICancelPipelineJobRequest | undefined), {} | undefined ]>

{Promise} - The promise which resolves to an array. The first element of the array is an object representing [Empty]. Please see the [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods) 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 PipelineJob to cancel.
   *  Format:
   *  `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`
   */
  // const name = 'abc123'

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

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

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

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

  callCancelPipelineJob();

cancelPipelineJob(request, options, callback)

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

cancelPipelineJob(request, callback)

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

cancelTrainingPipeline(request, options)

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

Cancels a TrainingPipeline. Starts asynchronous cancellation on the TrainingPipeline. The server makes a best effort to cancel the pipeline, but success is not guaranteed. Clients can use or other methods to check whether the cancellation succeeded or whether the pipeline completed despite cancellation. On successful cancellation, the TrainingPipeline is not deleted; instead it becomes a pipeline with a value with a of 1, corresponding to Code.CANCELLED, and is set to CANCELLED.

Parameters
NameDescription
request protos.google.cloud.aiplatform.v1beta1.ICancelTrainingPipelineRequest

The request object that will be sent.

options CallOptions

Call options. See CallOptions for more details.

Returns
TypeDescription
Promise<[ protos.google.protobuf.IEmpty, (protos.google.cloud.aiplatform.v1beta1.ICancelTrainingPipelineRequest | undefined), {} | undefined ]>

{Promise} - The promise which resolves to an array. The first element of the array is an object representing [Empty]. Please see the [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods) 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 TrainingPipeline to cancel.
   *  Format:
   *  `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
   */
  // const name = 'abc123'

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

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

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

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

  callCancelTrainingPipeline();

cancelTrainingPipeline(request, options, callback)

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

cancelTrainingPipeline(request, callback)

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

checkDeletePipelineJobProgress(name)

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

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

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](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#long-running-operations) 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 PipelineJob resource to be deleted.
   *  Format:
   *  `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`
   */
  // const name = 'abc123'

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

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

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

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

  callDeletePipelineJob();

checkDeleteTrainingPipelineProgress(name)

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

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

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](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#long-running-operations) 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 TrainingPipeline resource to be deleted.
   *  Format:
   *  `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
   */
  // const name = 'abc123'

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

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

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

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

  callDeleteTrainingPipeline();

close()

close(): Promise<void>;

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.

createPipelineJob(request, options)

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

Creates a PipelineJob. A PipelineJob will run immediately when created.

Parameters
NameDescription
request protos.google.cloud.aiplatform.v1beta1.ICreatePipelineJobRequest

The request object that will be sent.

options CallOptions

Call options. See CallOptions for more details.

Returns
TypeDescription
Promise<[ protos.google.cloud.aiplatform.v1beta1.IPipelineJob, (protos.google.cloud.aiplatform.v1beta1.ICreatePipelineJobRequest | undefined), {} | undefined ]>

{Promise} - The promise which resolves to an array. The first element of the array is an object representing [PipelineJob]. Please see the [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods) 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 PipelineJob in.
   *  Format: `projects/{project}/locations/{location}`
   */
  // const parent = 'abc123'
  /**
   *  Required. The PipelineJob to create.
   */
  // const pipelineJob = {}
  /**
   *  The ID to use for the PipelineJob, which will become the final component of
   *  the PipelineJob name. If not provided, an ID will be automatically
   *  generated.
   *  This value should be less than 128 characters, and valid characters
   *  are /[a-z][0-9]-/.
   */
  // const pipelineJobId = 'abc123'

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

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

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

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

  callCreatePipelineJob();

createPipelineJob(request, options, callback)

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

createPipelineJob(request, callback)

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

createTrainingPipeline(request, options)

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

Creates a TrainingPipeline. A created TrainingPipeline right away will be attempted to be run.

Parameters
NameDescription
request protos.google.cloud.aiplatform.v1beta1.ICreateTrainingPipelineRequest

The request object that will be sent.

options CallOptions

Call options. See CallOptions for more details.

Returns
TypeDescription
Promise<[ protos.google.cloud.aiplatform.v1beta1.ITrainingPipeline, (protos.google.cloud.aiplatform.v1beta1.ICreateTrainingPipelineRequest | undefined), {} | undefined ]>

{Promise} - The promise which resolves to an array. The first element of the array is an object representing [TrainingPipeline]. Please see the [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods) 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 TrainingPipeline in.
   *  Format: `projects/{project}/locations/{location}`
   */
  // const parent = 'abc123'
  /**
   *  Required. The TrainingPipeline to create.
   */
  // const trainingPipeline = {}

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

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

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

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

  callCreateTrainingPipeline();

createTrainingPipeline(request, options, callback)

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

createTrainingPipeline(request, callback)

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

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 protos.google.longrunning.DeleteOperationRequest

The request object that will be sent.

options gax.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]https://googleapis.github.io/gax-nodejs/global.html#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: ''});

deletePipelineJob(request, options)

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

Deletes a PipelineJob.

Parameters
NameDescription
request protos.google.cloud.aiplatform.v1beta1.IDeletePipelineJobRequest

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](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#long-running-operations) 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 PipelineJob resource to be deleted.
   *  Format:
   *  `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`
   */
  // const name = 'abc123'

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

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

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

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

  callDeletePipelineJob();

deletePipelineJob(request, options, callback)

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

deletePipelineJob(request, callback)

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

deleteTrainingPipeline(request, options)

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

Deletes a TrainingPipeline.

Parameters
NameDescription
request protos.google.cloud.aiplatform.v1beta1.IDeleteTrainingPipelineRequest

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](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#long-running-operations) 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 TrainingPipeline resource to be deleted.
   *  Format:
   *  `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
   */
  // const name = 'abc123'

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

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

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

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

  callDeleteTrainingPipeline();

deleteTrainingPipeline(request, options, callback)

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

deleteTrainingPipeline(request, callback)

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

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.

endpointPath(project, location, endpoint)

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

Return a fully-qualified endpoint resource name string.

Parameters
NameDescription
project string
location string
endpoint string
Returns
TypeDescription
string

{string} Resource name string.

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.

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

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

Return a fully-qualified feature resource name string.

Parameters
NameDescription
project string
location string
featurestore string
entityType string
feature 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.

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 gax.CallOptions | Callback<IamProtos.google.iam.v1.Policy, IamProtos.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]https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html for the details.

callback Callback<IamProtos.google.iam.v1.Policy, IamProtos.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 [Policy].

Returns
TypeDescription
Promise<IamProtos.google.iam.v1.Policy>

{Promise} - The promise which resolves to an array. The first element of the array is an object representing [Policy]. 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 gax.CallOptions | Callback<LocationProtos.google.cloud.location.ILocation, LocationProtos.google.cloud.location.IGetLocationRequest | null | undefined, {} | null | undefined>

Call options. See CallOptions for more details.

callback Callback<LocationProtos.google.cloud.location.ILocation, LocationProtos.google.cloud.location.IGetLocationRequest | null | undefined, {} | null | undefined>
Returns
TypeDescription
Promise<LocationProtos.google.cloud.location.ILocation>

{Promise} - The promise which resolves to an array. The first element of the array is an object representing [Location]. Please see the [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods) 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 protos.google.longrunning.GetOperationRequest

The request object that will be sent.

options gax.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]https://googleapis.github.io/gax-nodejs/global.html#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 [google.longrunning.Operation]. {Promise} - The promise which resolves to an array. The first element of the array is an object representing [google.longrunning.Operation]. 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)

getPipelineJob(request, options)

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

Gets a PipelineJob.

Parameters
NameDescription
request protos.google.cloud.aiplatform.v1beta1.IGetPipelineJobRequest

The request object that will be sent.

options CallOptions

Call options. See CallOptions for more details.

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

{Promise} - The promise which resolves to an array. The first element of the array is an object representing [PipelineJob]. Please see the [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods) 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 PipelineJob resource.
   *  Format:
   *  `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`
   */
  // const name = 'abc123'

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

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

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

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

  callGetPipelineJob();

getPipelineJob(request, options, callback)

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

getPipelineJob(request, callback)

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

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

getTrainingPipeline(request, options)

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

Gets a TrainingPipeline.

Parameters
NameDescription
request protos.google.cloud.aiplatform.v1beta1.IGetTrainingPipelineRequest

The request object that will be sent.

options CallOptions

Call options. See CallOptions for more details.

Returns
TypeDescription
Promise<[ protos.google.cloud.aiplatform.v1beta1.ITrainingPipeline, (protos.google.cloud.aiplatform.v1beta1.IGetTrainingPipelineRequest | undefined), {} | undefined ]>

{Promise} - The promise which resolves to an array. The first element of the array is an object representing [TrainingPipeline]. Please see the [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods) 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 TrainingPipeline resource.
   *  Format:
   *  `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
   */
  // const name = 'abc123'

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

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

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

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

  callGetTrainingPipeline();

getTrainingPipeline(request, options, callback)

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

getTrainingPipeline(request, callback)

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

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<LocationProtos.google.cloud.location.ILocation>

{Object} An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols). When you iterate the returned iterable, each element will be an object representing [Location]. 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](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination) 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 protos.google.longrunning.ListOperationsRequest

The request object that will be sent.

options gax.CallOptions

Optional parameters. You can override the default settings for this call, e.g, timeout, retries, paginations, etc. See [gax.CallOptions]https://googleapis.github.io/gax-nodejs/global.html#CallOptions for the details.

Returns
TypeDescription
AsyncIterable<protos.google.longrunning.ListOperationsResponse>

{Object} An iterable Object that conforms to https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols.

Example

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

listPipelineJobs(request, options)

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

Lists PipelineJobs in a Location.

Parameters
NameDescription
request protos.google.cloud.aiplatform.v1beta1.IListPipelineJobsRequest

The request object that will be sent.

options CallOptions

Call options. See CallOptions for more details.

Returns
TypeDescription
Promise<[ protos.google.cloud.aiplatform.v1beta1.IPipelineJob[], protos.google.cloud.aiplatform.v1beta1.IListPipelineJobsRequest | null, protos.google.cloud.aiplatform.v1beta1.IListPipelineJobsResponse ]>

{Promise} - The promise which resolves to an array. The first element of the array is Array of [PipelineJob]. 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 listPipelineJobsAsync() method described below for async iteration which you can stop as needed. Please see the [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination) for more details and examples.

listPipelineJobs(request, options, callback)

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

listPipelineJobs(request, callback)

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

listPipelineJobsAsync(request, options)

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

Equivalent to listPipelineJobs, but returns an iterable object.

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

Parameters
NameDescription
request protos.google.cloud.aiplatform.v1beta1.IListPipelineJobsRequest

The request object that will be sent.

options CallOptions

Call options. See CallOptions for more details.

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

{Object} An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols). When you iterate the returned iterable, each element will be an object representing [PipelineJob]. 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](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination) 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 list the PipelineJobs from.
   *  Format: `projects/{project}/locations/{location}`
   */
  // const parent = 'abc123'
  /**
   *  Lists the PipelineJobs that match the filter expression. The following
   *  fields are supported:
   *  * `pipeline_name`: Supports `=` and `!=` comparisons.
   *  * `display_name`: Supports `=`, `!=` comparisons, and `:` wildcard.
   *  * `pipeline_job_user_id`: Supports `=`, `!=` comparisons, and `:` wildcard.
   *    for example, can check if pipeline's display_name contains *step* by
   *    doing display_name:\"*step*\"
   *  * `state`: Supports `=` and `!=` comparisons.
   *  * `create_time`: Supports `=`, `!=`, `<`, `="">`, `<=`, and="" `="">=` comparisons.
   *    Values must be in RFC 3339 format.
   *  * `update_time`: Supports `=`, `!=`, `<`, `="">`, `<=`, and="" `="">=` comparisons.
   *    Values must be in RFC 3339 format.
   *  * `end_time`: Supports `=`, `!=`, `<`, `="">`, `<=`, and="" `="">=` comparisons.
   *    Values must be in RFC 3339 format.
   *  * `labels`: Supports key-value equality and key presence.
   *  * `template_uri`: Supports `=`, `!=` comparisons, and `:` wildcard.
   *  * `template_metadata.version`: Supports `=`, `!=` comparisons, and `:`
   *    wildcard.
   *  Filter expressions can be combined together using logical operators
   *  (`AND` & `OR`).
   *  For example: `pipeline_name="test" AND create_time>"2020-05-18T13:30:00Z"`.
   *  The syntax to define filter expression is based on
   *  https://google.aip.dev/160.
   *  Examples:
   *  * `create_time>"2021-05-18T00:00:00Z" OR
   *    update_time>"2020-05-18T00:00:00Z"` PipelineJobs created or updated
   *    after 2020-05-18 00:00:00 UTC.
   *  * `labels.env = "prod"`
   *    PipelineJobs with label "env" set to "prod".
   */
  // const filter = 'abc123'
  /**
   *  The standard list page size.
   */
  // const pageSize = 1234
  /**
   *  The standard list page token.
   *  Typically obtained via
   *  ListPipelineJobsResponse.next_page_token google.cloud.aiplatform.v1beta1.ListPipelineJobsResponse.next_page_token  of the previous
   *  PipelineService.ListPipelineJobs google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs  call.
   */
  // const pageToken = 'abc123'
  /**
   *  A comma-separated list of fields to order by. The default sort order is in
   *  ascending order. Use "desc" after a field name for descending. You can have
   *  multiple order_by fields provided e.g. "create_time desc, end_time",
   *  "end_time, start_time, update_time" For example, using "create_time desc,
   *  end_time" will order results by create time in descending order, and if
   *  there are multiple jobs having the same create time, order them by the end
   *  time in ascending order. if order_by is not specified, it will order by
   *  default order is create time in descending order. Supported fields:
   *    * `create_time`
   *    * `update_time`
   *    * `end_time`
   *    * `start_time`
   */
  // const orderBy = 'abc123'
  /**
   *  Mask specifying which fields to read.
   */
  // const readMask = {}

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

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

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

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

  callListPipelineJobs();

listPipelineJobsStream(request, options)

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

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

Parameters
NameDescription
request protos.google.cloud.aiplatform.v1beta1.IListPipelineJobsRequest

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 [PipelineJob] 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 listPipelineJobsAsync() method described below for async iteration which you can stop as needed. Please see the [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination) for more details and examples.

listTrainingPipelines(request, options)

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

Lists TrainingPipelines in a Location.

Parameters
NameDescription
request protos.google.cloud.aiplatform.v1beta1.IListTrainingPipelinesRequest

The request object that will be sent.

options CallOptions

Call options. See CallOptions for more details.

Returns
TypeDescription
Promise<[ protos.google.cloud.aiplatform.v1beta1.ITrainingPipeline[], protos.google.cloud.aiplatform.v1beta1.IListTrainingPipelinesRequest | null, protos.google.cloud.aiplatform.v1beta1.IListTrainingPipelinesResponse ]>

{Promise} - The promise which resolves to an array. The first element of the array is Array of [TrainingPipeline]. 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 listTrainingPipelinesAsync() method described below for async iteration which you can stop as needed. Please see the [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination) for more details and examples.

listTrainingPipelines(request, options, callback)

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

listTrainingPipelines(request, callback)

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

listTrainingPipelinesAsync(request, options)

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

Equivalent to listTrainingPipelines, but returns an iterable object.

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

Parameters
NameDescription
request protos.google.cloud.aiplatform.v1beta1.IListTrainingPipelinesRequest

The request object that will be sent.

options CallOptions

Call options. See CallOptions for more details.

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

{Object} An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols). When you iterate the returned iterable, each element will be an object representing [TrainingPipeline]. 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](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination) 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 list the TrainingPipelines from.
   *  Format: `projects/{project}/locations/{location}`
   */
  // const parent = 'abc123'
  /**
   *  The standard list filter.
   *  Supported fields:
   *    * `display_name` supports `=`, `!=` comparisons, and `:` wildcard.
   *    * `state` supports `=`, `!=` comparisons.
   *    * `training_task_definition` `=`, `!=` comparisons, and `:` wildcard.
   *    * `create_time` supports `=`, `!=`,`<`,><=`,`>`, `>=` comparisons.
   *      `create_time` must be in RFC 3339 format.
   *    * `labels` supports general map functions that is:
   *      `labels.key=value` - key:value equality
   *      `labels.key:* - key existence
   *  Some examples of using the filter are:
   *    * `state="PIPELINE_STATE_SUCCEEDED" AND display_name:"my_pipeline_*"`
   *    * `state!="PIPELINE_STATE_FAILED" OR display_name="my_pipeline"`
   *    * `NOT display_name="my_pipeline"`
   *    * `create_time>"2021-05-18T00:00:00Z"`
   *    * `training_task_definition:"*automl_text_classification*"`
   */
  // const filter = 'abc123'
  /**
   *  The standard list page size.
   */
  // const pageSize = 1234
  /**
   *  The standard list page token.
   *  Typically obtained via
   *  ListTrainingPipelinesResponse.next_page_token google.cloud.aiplatform.v1beta1.ListTrainingPipelinesResponse.next_page_token  of the previous
   *  PipelineService.ListTrainingPipelines google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines  call.
   */
  // const pageToken = 'abc123'
  /**
   *  Mask specifying which fields to read.
   */
  // const readMask = {}

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

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

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

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

  callListTrainingPipelines();

listTrainingPipelinesStream(request, options)

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

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

Parameters
NameDescription
request protos.google.cloud.aiplatform.v1beta1.IListTrainingPipelinesRequest

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 [TrainingPipeline] 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 listTrainingPipelinesAsync() method described below for async iteration which you can stop as needed. Please see the [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination) for more details and examples.

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.

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.

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.

matchEndpointFromEndpointName(endpointName)

matchEndpointFromEndpointName(endpointName: string): string | number;

Parse the endpoint from Endpoint resource.

Parameter
NameDescription
endpointName string

A fully-qualified path representing 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.

matchEntityTypeFromFeatureName(featureName)

matchEntityTypeFromFeatureName(featureName: string): string | number;

Parse the entity_type from Feature resource.

Parameter
NameDescription
featureName string

A fully-qualified path representing 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.

matchFeatureFromFeatureName(featureName)

matchFeatureFromFeatureName(featureName: string): string | number;

Parse the feature from Feature resource.

Parameter
NameDescription
featureName string

A fully-qualified path representing Feature resource.

Returns
TypeDescription
string | number

{string} A string representing the feature.

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.

matchFeaturestoreFromFeatureName(featureName)

matchFeaturestoreFromFeatureName(featureName: string): string | number;

Parse the featurestore from Feature resource.

Parameter
NameDescription
featureName string

A fully-qualified path representing Feature 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.

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.

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.

matchLocationFromEndpointName(endpointName)

matchLocationFromEndpointName(endpointName: string): string | number;

Parse the location from Endpoint resource.

Parameter
NameDescription
endpointName string

A fully-qualified path representing Endpoint 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.

matchLocationFromFeatureName(featureName)

matchLocationFromFeatureName(featureName: string): string | number;

Parse the location from Feature resource.

Parameter
NameDescription
featureName string

A fully-qualified path representing Feature 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.

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.

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.

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.

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.

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.

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.

matchProjectFromEndpointName(endpointName)

matchProjectFromEndpointName(endpointName: string): string | number;

Parse the project from Endpoint resource.

Parameter
NameDescription
endpointName string

A fully-qualified path representing Endpoint 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.

matchProjectFromFeatureName(featureName)

matchProjectFromFeatureName(featureName: string): string | number;

Parse the project from Feature resource.

Parameter
NameDescription
featureName string

A fully-qualified path representing Feature 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.

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.

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.

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.

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(trainingPi