Class v1.DatasetServiceClient (3.7.0)

Version 3.7.0

• 3.15.0 (latest)
• 3.13.0
• 3.11.0
• 3.10.1
• 3.9.0
• 3.7.0
• 3.6.0
• 3.4.0
• 3.3.0
• 3.0.0
• 2.12.0
• 2.11.0
• 2.10.0
• 2.7.0
• 2.6.1
• 2.5.0
• 2.3.0
• 1.19.0
• 1.18.0
• 1.17.0
• 1.16.0
• 1.15.0
• 1.14.1
• 1.13.0
• 1.11.0
• 1.7.2

The service that manages Vertex AI Dataset and its child resources. v1

Package

@google-cloud/aiplatform

Constructors

(constructor)(opts, gaxInstance)

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

Construct an instance of DatasetServiceClient.

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

Properties

apiEndpoint

static get apiEndpoint(): string;

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

auth

auth: gax.GoogleAuth;

datasetServiceStub

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

descriptors

descriptors: Descriptors;

iamClient

iamClient: IamClient;

innerApiCalls

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

locationsClient

locationsClient: LocationsClient;

operationsClient

operationsClient: gax.OperationsClient;

pathTemplates

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

port

static get port(): number;

The port for this API service.

scopes

static get scopes(): string[];

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

servicePath

static get servicePath(): string;

The DNS address for this API service.

warn

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

Methods

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

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

Return a fully-qualified annotation resource name string.

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

Returns
Type	Description
string	{string} Resource name string.

annotationSpecPath(project, location, dataset, annotationSpec)

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

Return a fully-qualified annotationSpec resource name string.

Parameters
Name	Description
project	string
location	string
dataset	string
annotationSpec	string

Returns
Type	Description
string	{string} Resource name string.

artifactPath(project, location, metadataStore, artifact)

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

Return a fully-qualified artifact resource name string.

Parameters
Name	Description
project	string
location	string
metadataStore	string
artifact	string

Returns
Type	Description
string	{string} Resource name string.

batchPredictionJobPath(project, location, batchPredictionJob)

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

Return a fully-qualified batchPredictionJob resource name string.

Parameters
Name	Description
project	string
location	string
batchPredictionJob	string

Returns
Type	Description
string	{string} Resource name string.

cancelOperation(request, options, callback)

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

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

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

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

Example

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

checkCreateDatasetProgress(name)

checkCreateDatasetProgress(name: string): Promise<LROperation<protos.google.cloud.aiplatform.v1.Dataset, protos.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata>>;

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

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

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

Example

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

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

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

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

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

  callCreateDataset();

checkCreateDatasetVersionProgress(name)

checkCreateDatasetVersionProgress(name: string): Promise<LROperation<protos.google.cloud.aiplatform.v1.DatasetVersion, protos.google.cloud.aiplatform.v1.CreateDatasetVersionOperationMetadata>>;

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

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

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

Example

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The name of the Dataset resource.
   *  Format:
   *  `projects/{project}/locations/{location}/datasets/{dataset}`
   */
  // const parent = 'abc123'
  /**
   *  Required. The version to be created. The same CMEK policies with the
   *  original Dataset will be applied the dataset version. So here we don't need
   *  to specify the EncryptionSpecType here.
   */
  // const datasetVersion = {}

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

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

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

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

  callCreateDatasetVersion();

checkDeleteDatasetProgress(name)

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

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

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

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

Example

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

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

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

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

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

  callDeleteDataset();

checkDeleteDatasetVersionProgress(name)

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

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

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

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

Example

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

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

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

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

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

  callDeleteDatasetVersion();

checkDeleteSavedQueryProgress(name)

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

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

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

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

Example

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

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

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

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

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

  callDeleteSavedQuery();

checkExportDataProgress(name)

checkExportDataProgress(name: string): Promise<LROperation<protos.google.cloud.aiplatform.v1.ExportDataResponse, protos.google.cloud.aiplatform.v1.ExportDataOperationMetadata>>;

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

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

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

Example

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

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

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

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

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

  callExportData();

checkImportDataProgress(name)

checkImportDataProgress(name: string): Promise<LROperation<protos.google.cloud.aiplatform.v1.ImportDataResponse, protos.google.cloud.aiplatform.v1.ImportDataOperationMetadata>>;

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

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

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

Example

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The name of the Dataset resource.
   *  Format:
   *  `projects/{project}/locations/{location}/datasets/{dataset}`
   */
  // const name = 'abc123'
  /**
   *  Required. The desired input locations. The contents of all input locations
   *  will be imported in one batch.
   */
  // const importConfigs = [1,2,3,4]

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

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

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

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

  callImportData();

checkRestoreDatasetVersionProgress(name)

checkRestoreDatasetVersionProgress(name: string): Promise<LROperation<protos.google.cloud.aiplatform.v1.DatasetVersion, protos.google.cloud.aiplatform.v1.RestoreDatasetVersionOperationMetadata>>;

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

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

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

Example

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

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

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

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

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

  callRestoreDatasetVersion();

close()

close(): Promise<void>;

Terminate the gRPC channel and close the client.

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

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

contextPath(project, location, metadataStore, context)

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

Return a fully-qualified context resource name string.

Parameters
Name	Description
project	string
location	string
metadataStore	string
context	string

Returns
Type	Description
string	{string} Resource name string.

createDataset(request, options)

createDataset(request?: protos.google.cloud.aiplatform.v1.ICreateDatasetRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.cloud.aiplatform.v1.IDataset, protos.google.cloud.aiplatform.v1.ICreateDatasetOperationMetadata>,
        protos.google.longrunning.IOperation | undefined,
        {} | undefined
    ]>;

Creates a Dataset.

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

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

Example

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

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

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

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

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

  callCreateDataset();

createDataset(request, options, callback)

createDataset(request: protos.google.cloud.aiplatform.v1.ICreateDatasetRequest, options: CallOptions, callback: Callback<LROperation<protos.google.cloud.aiplatform.v1.IDataset, protos.google.cloud.aiplatform.v1.ICreateDatasetOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
request	ICreateDatasetRequest
options	CallOptions
callback	Callback<LROperation<protos.google.cloud.aiplatform.v1.IDataset, protos.google.cloud.aiplatform.v1.ICreateDatasetOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>

Returns
Type	Description
void

createDataset(request, callback)

createDataset(request: protos.google.cloud.aiplatform.v1.ICreateDatasetRequest, callback: Callback<LROperation<protos.google.cloud.aiplatform.v1.IDataset, protos.google.cloud.aiplatform.v1.ICreateDatasetOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
request	ICreateDatasetRequest
callback	Callback<LROperation<protos.google.cloud.aiplatform.v1.IDataset, protos.google.cloud.aiplatform.v1.ICreateDatasetOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>

Returns
Type	Description
void

createDatasetVersion(request, options)

createDatasetVersion(request?: protos.google.cloud.aiplatform.v1.ICreateDatasetVersionRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.cloud.aiplatform.v1.IDatasetVersion, protos.google.cloud.aiplatform.v1.ICreateDatasetVersionOperationMetadata>,
        protos.google.longrunning.IOperation | undefined,
        {} | undefined
    ]>;

Create a version from a Dataset.

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

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

Example

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The name of the Dataset resource.
   *  Format:
   *  `projects/{project}/locations/{location}/datasets/{dataset}`
   */
  // const parent = 'abc123'
  /**
   *  Required. The version to be created. The same CMEK policies with the
   *  original Dataset will be applied the dataset version. So here we don't need
   *  to specify the EncryptionSpecType here.
   */
  // const datasetVersion = {}

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

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

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

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

  callCreateDatasetVersion();

createDatasetVersion(request, options, callback)

createDatasetVersion(request: protos.google.cloud.aiplatform.v1.ICreateDatasetVersionRequest, options: CallOptions, callback: Callback<LROperation<protos.google.cloud.aiplatform.v1.IDatasetVersion, protos.google.cloud.aiplatform.v1.ICreateDatasetVersionOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
request	ICreateDatasetVersionRequest
options	CallOptions
callback	Callback<LROperation<protos.google.cloud.aiplatform.v1.IDatasetVersion, protos.google.cloud.aiplatform.v1.ICreateDatasetVersionOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>

Returns
Type	Description
void

createDatasetVersion(request, callback)

createDatasetVersion(request: protos.google.cloud.aiplatform.v1.ICreateDatasetVersionRequest, callback: Callback<LROperation<protos.google.cloud.aiplatform.v1.IDatasetVersion, protos.google.cloud.aiplatform.v1.ICreateDatasetVersionOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
request	ICreateDatasetVersionRequest
callback	Callback<LROperation<protos.google.cloud.aiplatform.v1.IDatasetVersion, protos.google.cloud.aiplatform.v1.ICreateDatasetVersionOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>

Returns
Type	Description
void

customJobPath(project, location, customJob)

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

Return a fully-qualified customJob resource name string.

Parameters
Name	Description
project	string
location	string
customJob	string

Returns
Type	Description
string	{string} Resource name string.

dataItemPath(project, location, dataset, dataItem)

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

Return a fully-qualified dataItem resource name string.

Parameters
Name	Description
project	string
location	string
dataset	string
dataItem	string

Returns
Type	Description
string	{string} Resource name string.

dataLabelingJobPath(project, location, dataLabelingJob)

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

Return a fully-qualified dataLabelingJob resource name string.

Parameters
Name	Description
project	string
location	string
dataLabelingJob	string

Returns
Type	Description
string	{string} Resource name string.

datasetPath(project, location, dataset)

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

Return a fully-qualified dataset resource name string.

Parameters
Name	Description
project	string
location	string
dataset	string

Returns
Type	Description
string	{string} Resource name string.

datasetVersionPath(project, location, dataset, datasetVersion)

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

Return a fully-qualified datasetVersion resource name string.

Parameters
Name	Description
project	string
location	string
dataset	string
datasetVersion	string

Returns
Type	Description
string	{string} Resource name string.

deleteDataset(request, options)

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

Deletes a Dataset.

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

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

Example

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

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

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

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

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

  callDeleteDataset();

deleteDataset(request, options, callback)

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

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

Returns
Type	Description
void

deleteDataset(request, callback)

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

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

Returns
Type	Description
void

deleteDatasetVersion(request, options)

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

Deletes a Dataset version.

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

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

Example

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

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

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

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

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

  callDeleteDatasetVersion();

deleteDatasetVersion(request, options, callback)

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

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

Returns
Type	Description
void

deleteDatasetVersion(request, callback)

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

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

Returns
Type	Description
void

deleteOperation(request, options, callback)

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

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

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

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

Example

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

deleteSavedQuery(request, options)

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

Deletes a SavedQuery.

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

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

Example

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

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

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

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

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

  callDeleteSavedQuery();

deleteSavedQuery(request, options, callback)

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

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

Returns
Type	Description
void

deleteSavedQuery(request, callback)

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

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

Returns
Type	Description
void

entityTypePath(project, location, featurestore, entityType)

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

Return a fully-qualified entityType resource name string.

Parameters
Name	Description
project	string
location	string
featurestore	string
entityType	string

Returns
Type	Description
string	{string} Resource name string.

executionPath(project, location, metadataStore, execution)

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

Return a fully-qualified execution resource name string.

Parameters
Name	Description
project	string
location	string
metadataStore	string
execution	string

Returns
Type	Description
string	{string} Resource name string.

exportData(request, options)

exportData(request?: protos.google.cloud.aiplatform.v1.IExportDataRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.cloud.aiplatform.v1.IExportDataResponse, protos.google.cloud.aiplatform.v1.IExportDataOperationMetadata>,
        protos.google.longrunning.IOperation | undefined,
        {} | undefined
    ]>;

Exports data from a Dataset.

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

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

Example

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

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

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

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

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

  callExportData();

exportData(request, options, callback)

exportData(request: protos.google.cloud.aiplatform.v1.IExportDataRequest, options: CallOptions, callback: Callback<LROperation<protos.google.cloud.aiplatform.v1.IExportDataResponse, protos.google.cloud.aiplatform.v1.IExportDataOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
request	IExportDataRequest
options	CallOptions
callback	Callback<LROperation<protos.google.cloud.aiplatform.v1.IExportDataResponse, protos.google.cloud.aiplatform.v1.IExportDataOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>

Returns
Type	Description
void

exportData(request, callback)

exportData(request: protos.google.cloud.aiplatform.v1.IExportDataRequest, callback: Callback<LROperation<protos.google.cloud.aiplatform.v1.IExportDataResponse, protos.google.cloud.aiplatform.v1.IExportDataOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
request	IExportDataRequest
callback	Callback<LROperation<protos.google.cloud.aiplatform.v1.IExportDataResponse, protos.google.cloud.aiplatform.v1.IExportDataOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>

Returns
Type	Description
void

featureGroupPath(project, location, featureGroup)

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

Return a fully-qualified featureGroup resource name string.

Parameters
Name	Description
project	string
location	string
featureGroup	string

Returns
Type	Description
string	{string} Resource name string.

featureOnlineStorePath(project, location, featureOnlineStore)

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

Return a fully-qualified featureOnlineStore resource name string.

Parameters
Name	Description
project	string
location	string
featureOnlineStore	string

Returns
Type	Description
string	{string} Resource name string.

featurestorePath(project, location, featurestore)

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

Return a fully-qualified featurestore resource name string.

Parameters
Name	Description
project	string
location	string
featurestore	string

Returns
Type	Description
string	{string} Resource name string.

featureViewPath(project, location, featureOnlineStore, featureView)

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

Return a fully-qualified featureView resource name string.

Parameters
Name	Description
project	string
location	string
featureOnlineStore	string
featureView	string

Returns
Type	Description
string	{string} Resource name string.

featureViewSyncPath(project, location, featureOnlineStore, featureView)

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

Return a fully-qualified featureViewSync resource name string.

Parameters
Name	Description
project	string
location	string
featureOnlineStore	string
featureView	string

Returns
Type	Description
string	{string} Resource name string.

getAnnotationSpec(request, options)

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

Gets an AnnotationSpec.

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

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

Example

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The name of the AnnotationSpec resource.
   *  Format:
   *  `projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}`
   */
  // const name = 'abc123'
  /**
   *  Mask specifying which fields to read.
   */
  // const readMask = {}

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

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

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

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

  callGetAnnotationSpec();

getAnnotationSpec(request, options, callback)

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

Parameters
Name	Description
request	IGetAnnotationSpecRequest
options	CallOptions
callback	Callback<protos.google.cloud.aiplatform.v1.IAnnotationSpec, protos.google.cloud.aiplatform.v1.IGetAnnotationSpecRequest | null | undefined, {} | null | undefined>

Returns
Type	Description
void

getAnnotationSpec(request, callback)

getAnnotationSpec(request: protos.google.cloud.aiplatform.v1.IGetAnnotationSpecRequest, callback: Callback<protos.google.cloud.aiplatform.v1.IAnnotationSpec, protos.google.cloud.aiplatform.v1.IGetAnnotationSpecRequest | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
request	IGetAnnotationSpecRequest
callback	Callback<protos.google.cloud.aiplatform.v1.IAnnotationSpec, protos.google.cloud.aiplatform.v1.IGetAnnotationSpecRequest | null | undefined, {} | null | undefined>

Returns
Type	Description
void

getDataset(request, options)

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

Gets a Dataset.

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

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

Example

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The name of the Dataset resource.
   */
  // const name = 'abc123'
  /**
   *  Mask specifying which fields to read.
   */
  // const readMask = {}

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

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

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

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

  callGetDataset();

getDataset(request, options, callback)

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

Parameters
Name	Description
request	IGetDatasetRequest
options	CallOptions
callback	Callback<protos.google.cloud.aiplatform.v1.IDataset, protos.google.cloud.aiplatform.v1.IGetDatasetRequest | null | undefined, {} | null | undefined>

Returns
Type	Description
void

getDataset(request, callback)

getDataset(request: protos.google.cloud.aiplatform.v1.IGetDatasetRequest, callback: Callback<protos.google.cloud.aiplatform.v1.IDataset, protos.google.cloud.aiplatform.v1.IGetDatasetRequest | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
request	IGetDatasetRequest
callback	Callback<protos.google.cloud.aiplatform.v1.IDataset, protos.google.cloud.aiplatform.v1.IGetDatasetRequest | null | undefined, {} | null | undefined>

Returns
Type	Description
void

getDatasetVersion(request, options)

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

Gets a Dataset version.

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

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

Example

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The resource name of the Dataset version to delete.
   *  Format:
   *  `projects/{project}/locations/{location}/datasets/{dataset}/datasetVersions/{dataset_version}`
   */
  // const name = 'abc123'
  /**
   *  Mask specifying which fields to read.
   */
  // const readMask = {}

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

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

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

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

  callGetDatasetVersion();

getDatasetVersion(request, options, callback)

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

Parameters
Name	Description
request	IGetDatasetVersionRequest
options	CallOptions
callback	Callback<protos.google.cloud.aiplatform.v1.IDatasetVersion, protos.google.cloud.aiplatform.v1.IGetDatasetVersionRequest | null | undefined, {} | null | undefined>

Returns
Type	Description
void

getDatasetVersion(request, callback)

getDatasetVersion(request: protos.google.cloud.aiplatform.v1.IGetDatasetVersionRequest, callback: Callback<protos.google.cloud.aiplatform.v1.IDatasetVersion, protos.google.cloud.aiplatform.v1.IGetDatasetVersionRequest | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
request	IGetDatasetVersionRequest
callback	Callback<protos.google.cloud.aiplatform.v1.IDatasetVersion, protos.google.cloud.aiplatform.v1.IGetDatasetVersionRequest | null | undefined, {} | null | undefined>

Returns
Type	Description
void

getIamPolicy(request, options, callback)

getIamPolicy(request: IamProtos.google.iam.v1.GetIamPolicyRequest, options?: gax.CallOptions | Callback<IamProtos.google.iam.v1.Policy, IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined, {} | null | undefined>, callback?: Callback<IamProtos.google.iam.v1.Policy, IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined, {} | null | undefined>): Promise<[IamProtos.google.iam.v1.Policy]>;

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

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

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

getLocation(request, options, callback)

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

Gets information about a location.

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

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

Example

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

getOperation(request, options, callback)

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

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

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

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

Example

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

getProjectId()

getProjectId(): Promise<string>;

Returns
Type	Description
Promise<string>

getProjectId(callback)

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

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

Returns
Type	Description
void

hyperparameterTuningJobPath(project, location, hyperparameterTuningJob)

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

Return a fully-qualified hyperparameterTuningJob resource name string.

Parameters
Name	Description
project	string
location	string
hyperparameterTuningJob	string

Returns
Type	Description
string	{string} Resource name string.

importData(request, options)

importData(request?: protos.google.cloud.aiplatform.v1.IImportDataRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.cloud.aiplatform.v1.IImportDataResponse, protos.google.cloud.aiplatform.v1.IImportDataOperationMetadata>,
        protos.google.longrunning.IOperation | undefined,
        {} | undefined
    ]>;

Imports data into a Dataset.

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

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

Example

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The name of the Dataset resource.
   *  Format:
   *  `projects/{project}/locations/{location}/datasets/{dataset}`
   */
  // const name = 'abc123'
  /**
   *  Required. The desired input locations. The contents of all input locations
   *  will be imported in one batch.
   */
  // const importConfigs = [1,2,3,4]

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

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

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

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

  callImportData();

importData(request, options, callback)

importData(request: protos.google.cloud.aiplatform.v1.IImportDataRequest, options: CallOptions, callback: Callback<LROperation<protos.google.cloud.aiplatform.v1.IImportDataResponse, protos.google.cloud.aiplatform.v1.IImportDataOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
request	IImportDataRequest
options	CallOptions
callback	Callback<LROperation<protos.google.cloud.aiplatform.v1.IImportDataResponse, protos.google.cloud.aiplatform.v1.IImportDataOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>

Returns
Type	Description
void

importData(request, callback)

importData(request: protos.google.cloud.aiplatform.v1.IImportDataRequest, callback: Callback<LROperation<protos.google.cloud.aiplatform.v1.IImportDataResponse, protos.google.cloud.aiplatform.v1.IImportDataOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
request	IImportDataRequest
callback	Callback<LROperation<protos.google.cloud.aiplatform.v1.IImportDataResponse, protos.google.cloud.aiplatform.v1.IImportDataOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>

Returns
Type	Description
void

indexEndpointPath(project, location, indexEndpoint)

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

Return a fully-qualified indexEndpoint resource name string.

Parameters
Name	Description
project	string
location	string
indexEndpoint	string

Returns
Type	Description
string	{string} Resource name string.

indexPath(project, location, index)

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

Return a fully-qualified index resource name string.

Parameters
Name	Description
project	string
location	string
index	string

Returns
Type	Description
string	{string} Resource name string.

initialize()

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

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

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

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

listAnnotations(request, options)

listAnnotations(request?: protos.google.cloud.aiplatform.v1.IListAnnotationsRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.IAnnotation[],
        protos.google.cloud.aiplatform.v1.IListAnnotationsRequest | null,
        protos.google.cloud.aiplatform.v1.IListAnnotationsResponse
    ]>;

Lists Annotations belongs to a dataitem

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

Returns
Type	Description
Promise<[ protos.google.cloud.aiplatform.v1.IAnnotation[], protos.google.cloud.aiplatform.v1.IListAnnotationsRequest | null, protos.google.cloud.aiplatform.v1.IListAnnotationsResponse ]>	{Promise} - The promise which resolves to an array. The first element of the array is Array of Annotation. 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 listAnnotationsAsync() method described below for async iteration which you can stop as needed. Please see the documentation for more details and examples.

listAnnotations(request, options, callback)

listAnnotations(request: protos.google.cloud.aiplatform.v1.IListAnnotationsRequest, options: CallOptions, callback: PaginationCallback<protos.google.cloud.aiplatform.v1.IListAnnotationsRequest, protos.google.cloud.aiplatform.v1.IListAnnotationsResponse | null | undefined, protos.google.cloud.aiplatform.v1.IAnnotation>): void;

Parameters
Name	Description
request	IListAnnotationsRequest
options	CallOptions
callback	PaginationCallback<protos.google.cloud.aiplatform.v1.IListAnnotationsRequest, protos.google.cloud.aiplatform.v1.IListAnnotationsResponse | null | undefined, protos.google.cloud.aiplatform.v1.IAnnotation>

Returns
Type	Description
void

listAnnotations(request, callback)

listAnnotations(request: protos.google.cloud.aiplatform.v1.IListAnnotationsRequest, callback: PaginationCallback<protos.google.cloud.aiplatform.v1.IListAnnotationsRequest, protos.google.cloud.aiplatform.v1.IListAnnotationsResponse | null | undefined, protos.google.cloud.aiplatform.v1.IAnnotation>): void;

Parameters
Name	Description
request	IListAnnotationsRequest
callback	PaginationCallback<protos.google.cloud.aiplatform.v1.IListAnnotationsRequest, protos.google.cloud.aiplatform.v1.IListAnnotationsResponse | null | undefined, protos.google.cloud.aiplatform.v1.IAnnotation>

Returns
Type	Description
void

listAnnotationsAsync(request, options)

listAnnotationsAsync(request?: protos.google.cloud.aiplatform.v1.IListAnnotationsRequest, options?: CallOptions): AsyncIterable<protos.google.cloud.aiplatform.v1.IAnnotation>;

Equivalent to listAnnotations, but returns an iterable object.

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

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

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

Example

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The resource name of the DataItem to list Annotations from.
   *  Format:
   *  `projects/{project}/locations/{location}/datasets/{dataset}/dataItems/{data_item}`
   */
  // const parent = 'abc123'
  /**
   *  The standard list filter.
   */
  // const filter = 'abc123'
  /**
   *  The standard list page size.
   */
  // const pageSize = 1234
  /**
   *  The standard list page token.
   */
  // const pageToken = 'abc123'
  /**
   *  Mask specifying which fields to read.
   */
  // const readMask = {}
  /**
   *  A comma-separated list of fields to order by, sorted in ascending order.
   *  Use "desc" after a field name for descending.
   */
  // const orderBy = 'abc123'

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

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

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

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

  callListAnnotations();

listAnnotationsStream(request, options)

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

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

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

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

listDataItems(request, options)

listDataItems(request?: protos.google.cloud.aiplatform.v1.IListDataItemsRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.IDataItem[],
        protos.google.cloud.aiplatform.v1.IListDataItemsRequest | null,
        protos.google.cloud.aiplatform.v1.IListDataItemsResponse
    ]>;

Lists DataItems in a Dataset.

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

Returns
Type	Description
Promise<[ protos.google.cloud.aiplatform.v1.IDataItem[], protos.google.cloud.aiplatform.v1.IListDataItemsRequest | null, protos.google.cloud.aiplatform.v1.IListDataItemsResponse ]>	{Promise} - The promise which resolves to an array. The first element of the array is Array of DataItem. 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 listDataItemsAsync() method described below for async iteration which you can stop as needed. Please see the documentation for more details and examples.

listDataItems(request, options, callback)

listDataItems(request: protos.google.cloud.aiplatform.v1.IListDataItemsRequest, options: CallOptions, callback: PaginationCallback<protos.google.cloud.aiplatform.v1.IListDataItemsRequest, protos.google.cloud.aiplatform.v1.IListDataItemsResponse | null | undefined, protos.google.cloud.aiplatform.v1.IDataItem>): void;

Parameters
Name	Description
request	IListDataItemsRequest
options	CallOptions
callback	PaginationCallback<protos.google.cloud.aiplatform.v1.IListDataItemsRequest, protos.google.cloud.aiplatform.v1.IListDataItemsResponse | null | undefined, protos.google.cloud.aiplatform.v1.IDataItem>

Returns
Type	Description
void

listDataItems(request, callback)

listDataItems(request: protos.google.cloud.aiplatform.v1.IListDataItemsRequest, callback: PaginationCallback<protos.google.cloud.aiplatform.v1.IListDataItemsRequest, protos.google.cloud.aiplatform.v1.IListDataItemsResponse | null | undefined, protos.google.cloud.aiplatform.v1.IDataItem>): void;

Parameters
Name	Description
request	IListDataItemsRequest
callback	PaginationCallback<protos.google.cloud.aiplatform.v1.IListDataItemsRequest, protos.google.cloud.aiplatform.v1.IListDataItemsResponse | null | undefined, protos.google.cloud.aiplatform.v1.IDataItem>

Returns
Type	Description
void

listDataItemsAsync(request, options)

listDataItemsAsync(request?: protos.google.cloud.aiplatform.v1.IListDataItemsRequest, options?: CallOptions): AsyncIterable<protos.google.cloud.aiplatform.v1.IDataItem>;

Equivalent to listDataItems, but returns an iterable object.

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

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

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

Example

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The resource name of the Dataset to list DataItems from.
   *  Format:
   *  `projects/{project}/locations/{location}/datasets/{dataset}`
   */
  // const parent = 'abc123'
  /**
   *  The standard list filter.
   */
  // const filter = 'abc123'
  /**
   *  The standard list page size.
   */
  // const pageSize = 1234
  /**
   *  The standard list page token.
   */
  // const pageToken = 'abc123'
  /**
   *  Mask specifying which fields to read.
   */
  // const readMask = {}
  /**
   *  A comma-separated list of fields to order by, sorted in ascending order.
   *  Use "desc" after a field name for descending.
   */
  // const orderBy = 'abc123'

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

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

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

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

  callListDataItems();

listDataItemsStream(request, options)

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

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

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

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

listDatasets(request, options)

listDatasets(request?: protos.google.cloud.aiplatform.v1.IListDatasetsRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.IDataset[],
        protos.google.cloud.aiplatform.v1.IListDatasetsRequest | null,
        protos.google.cloud.aiplatform.v1.IListDatasetsResponse
    ]>;

Lists Datasets in a Location.

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

Returns
Type	Description
Promise<[ protos.google.cloud.aiplatform.v1.IDataset[], protos.google.cloud.aiplatform.v1.IListDatasetsRequest | null, protos.google.cloud.aiplatform.v1.IListDatasetsResponse ]>	{Promise} - The promise which resolves to an array. The first element of the array is Array of Dataset. 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 listDatasetsAsync() method described below for async iteration which you can stop as needed. Please see the documentation for more details and examples.

listDatasets(request, options, callback)

listDatasets(request: protos.google.cloud.aiplatform.v1.IListDatasetsRequest, options: CallOptions, callback: PaginationCallback<protos.google.cloud.aiplatform.v1.IListDatasetsRequest, protos.google.cloud.aiplatform.v1.IListDatasetsResponse | null | undefined, protos.google.cloud.aiplatform.v1.IDataset>): void;

Parameters
Name	Description
request	IListDatasetsRequest
options	CallOptions
callback	PaginationCallback<protos.google.cloud.aiplatform.v1.IListDatasetsRequest, protos.google.cloud.aiplatform.v1.IListDatasetsResponse | null | undefined, protos.google.cloud.aiplatform.v1.IDataset>

Returns
Type	Description
void

listDatasets(request, callback)

listDatasets(request: protos.google.cloud.aiplatform.v1.IListDatasetsRequest, callback: PaginationCallback<protos.google.cloud.aiplatform.v1.IListDatasetsRequest, protos.google.cloud.aiplatform.v1.IListDatasetsResponse | null | undefined, protos.google.cloud.aiplatform.v1.IDataset>): void;

Parameters
Name	Description
request	IListDatasetsRequest
callback	PaginationCallback<protos.google.cloud.aiplatform.v1.IListDatasetsRequest, protos.google.cloud.aiplatform.v1.IListDatasetsResponse | null | undefined, protos.google.cloud.aiplatform.v1.IDataset>

Returns
Type	Description
void

listDatasetsAsync(request, options)

listDatasetsAsync(request?: protos.google.cloud.aiplatform.v1.IListDatasetsRequest, options?: CallOptions): AsyncIterable<protos.google.cloud.aiplatform.v1.IDataset>;

Equivalent to listDatasets, but returns an iterable object.

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

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

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

Example

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The name of the Dataset's parent resource.
   *  Format: `projects/{project}/locations/{location}`
   */
  // const parent = 'abc123'
  /**
   *  An expression for filtering the results of the request. For field names
   *  both snake_case and camelCase are supported.
   *    * `display_name`: supports = and !=
   *    * `metadata_schema_uri`: supports = and !=
   *    * `labels` supports general map functions that is:
   *      * `labels.key=value` - key:value equality
   *      * `labels.key:* or labels:key - key existence
   *      * A key including a space must be quoted. `labels."a key"`.
   *  Some examples:
   *    * `displayName="myDisplayName"`
   *    * `labels.myKey="myValue"`
   */
  // const filter = 'abc123'
  /**
   *  The standard list page size.
   */
  // const pageSize = 1234
  /**
   *  The standard list page token.
   */
  // const pageToken = 'abc123'
  /**
   *  Mask specifying which fields to read.
   */
  // const readMask = {}
  /**
   *  A comma-separated list of fields to order by, sorted in ascending order.
   *  Use "desc" after a field name for descending.
   *  Supported fields:
   *    * `display_name`
   *    * `create_time`
   *    * `update_time`
   */
  // const orderBy = 'abc123'

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

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

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

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

  callListDatasets();

listDatasetsStream(request, options)

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

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

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

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

listDatasetVersions(request, options)

listDatasetVersions(request?: protos.google.cloud.aiplatform.v1.IListDatasetVersionsRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.IDatasetVersion[],
        protos.google.cloud.aiplatform.v1.IListDatasetVersionsRequest | null,
        protos.google.cloud.aiplatform.v1.IListDatasetVersionsResponse
    ]>;

Lists DatasetVersions in a Dataset.

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

Returns
Type	Description
Promise<[ protos.google.cloud.aiplatform.v1.IDatasetVersion[], protos.google.cloud.aiplatform.v1.IListDatasetVersionsRequest | null, protos.google.cloud.aiplatform.v1.IListDatasetVersionsResponse ]>	{Promise} - The promise which resolves to an array. The first element of the array is Array of DatasetVersion. 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 listDatasetVersionsAsync() method described below for async iteration which you can stop as needed. Please see the documentation for more details and examples.

listDatasetVersions(request, options, callback)

listDatasetVersions(request: protos.google.cloud.aiplatform.v1.IListDatasetVersionsRequest, options: CallOptions, callback: PaginationCallback<protos.google.cloud.aiplatform.v1.IListDatasetVersionsRequest, protos.google.cloud.aiplatform.v1.IListDatasetVersionsResponse | null | undefined, protos.google.cloud.aiplatform.v1.IDatasetVersion>): void;

Parameters
Name	Description
request	IListDatasetVersionsRequest
options	CallOptions
callback	PaginationCallback<protos.google.cloud.aiplatform.v1.IListDatasetVersionsRequest, protos.google.cloud.aiplatform.v1.IListDatasetVersionsResponse | null | undefined, protos.google.cloud.aiplatform.v1.IDatasetVersion>

Returns
Type	Description
void

listDatasetVersions(request, callback)

listDatasetVersions(request: protos.google.cloud.aiplatform.v1.IListDatasetVersionsRequest, callback: PaginationCallback<protos.google.cloud.aiplatform.v1.IListDatasetVersionsRequest, protos.google.cloud.aiplatform.v1.IListDatasetVersionsResponse | null | undefined, protos.google.cloud.aiplatform.v1.IDatasetVersion>): void;

Parameters
Name	Description
request	IListDatasetVersionsRequest
callback	PaginationCallback<protos.google.cloud.aiplatform.v1.IListDatasetVersionsRequest, protos.google.cloud.aiplatform.v1.IListDatasetVersionsResponse | null | undefined, protos.google.cloud.aiplatform.v1.IDatasetVersion>

Returns
Type	Description
void

listDatasetVersionsAsync(request, options)

listDatasetVersionsAsync(request?: protos.google.cloud.aiplatform.v1.IListDatasetVersionsRequest, options?: CallOptions): AsyncIterable<protos.google.cloud.aiplatform.v1.IDatasetVersion>;

Equivalent to listDatasetVersions, but returns an iterable object.

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

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

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

Example

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The resource name of the Dataset to list DatasetVersions from.
   *  Format:
   *  `projects/{project}/locations/{location}/datasets/{dataset}`
   */
  // const parent = 'abc123'
  /**
   *  Optional. The standard list filter.
   */
  // const filter = 'abc123'
  /**
   *  Optional. The standard list page size.
   */
  // const pageSize = 1234
  /**
   *  Optional. The standard list page token.
   */
  // const pageToken = 'abc123'
  /**
   *  Optional. Mask specifying which fields to read.
   */
  // const readMask = {}
  /**
   *  Optional. A comma-separated list of fields to order by, sorted in ascending
   *  order. Use "desc" after a field name for descending.
   */
  // const orderBy = 'abc123'

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

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

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

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

  callListDatasetVersions();

listDatasetVersionsStream(request, options)

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

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

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

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

listLocationsAsync(request, options)

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

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

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

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

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

Example

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

listOperationsAsync(request, options)

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

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

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

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

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

Example

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

listSavedQueries(request, options)

listSavedQueries(request?: protos.google.cloud.aiplatform.v1.IListSavedQueriesRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.ISavedQuery[],
        protos.google.cloud.aiplatform.v1.IListSavedQueriesRequest | null,
        protos.google.cloud.aiplatform.v1.IListSavedQueriesResponse
    ]>;

Lists SavedQueries in a Dataset.

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

Returns
Type	Description
Promise<[ protos.google.cloud.aiplatform.v1.ISavedQuery[], protos.google.cloud.aiplatform.v1.IListSavedQueriesRequest | null, protos.google.cloud.aiplatform.v1.IListSavedQueriesResponse ]>	{Promise} - The promise which resolves to an array. The first element of the array is Array of SavedQuery. 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 listSavedQueriesAsync() method described below for async iteration which you can stop as needed. Please see the documentation for more details and examples.

listSavedQueries(request, options, callback)

listSavedQueries(request: protos.google.cloud.aiplatform.v1.IListSavedQueriesRequest, options: CallOptions, callback: PaginationCallback<protos.google.cloud.aiplatform.v1.IListSavedQueriesRequest, protos.google.cloud.aiplatform.v1.IListSavedQueriesResponse | null | undefined, protos.google.cloud.aiplatform.v1.ISavedQuery>): void;

Parameters
Name	Description
request	IListSavedQueriesRequest
options	CallOptions
callback	PaginationCallback<protos.google.cloud.aiplatform.v1.IListSavedQueriesRequest, protos.google.cloud.aiplatform.v1.IListSavedQueriesResponse | null | undefined, protos.google.cloud.aiplatform.v1.ISavedQuery>

Returns
Type	Description
void

listSavedQueries(request, callback)

listSavedQueries(request: protos.google.cloud.aiplatform.v1.IListSavedQueriesRequest, callback: PaginationCallback<protos.google.cloud.aiplatform.v1.IListSavedQueriesRequest, protos.google.cloud.aiplatform.v1.IListSavedQueriesResponse | null | undefined, protos.google.cloud.aiplatform.v1.ISavedQuery>): void;

Parameters
Name	Description
request	IListSavedQueriesRequest
callback	PaginationCallback<protos.google.cloud.aiplatform.v1.IListSavedQueriesRequest, protos.google.cloud.aiplatform.v1.IListSavedQueriesResponse | null | undefined, protos.google.cloud.aiplatform.v1.ISavedQuery>

Returns
Type	Description
void

listSavedQueriesAsync(request, options)

listSavedQueriesAsync(request?: protos.google.cloud.aiplatform.v1.IListSavedQueriesRequest, options?: CallOptions): AsyncIterable<protos.google.cloud.aiplatform.v1.ISavedQuery>;

Equivalent to listSavedQueries, but returns an iterable object.

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

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

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

Example

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The resource name of the Dataset to list SavedQueries from.
   *  Format:
   *  `projects/{project}/locations/{location}/datasets/{dataset}`
   */
  // const parent = 'abc123'
  /**
   *  The standard list filter.
   */
  // const filter = 'abc123'
  /**
   *  The standard list page size.
   */
  // const pageSize = 1234
  /**
   *  The standard list page token.
   */
  // const pageToken = 'abc123'
  /**
   *  Mask specifying which fields to read.
   */
  // const readMask = {}
  /**
   *  A comma-separated list of fields to order by, sorted in ascending order.
   *  Use "desc" after a field name for descending.
   */
  // const orderBy = 'abc123'

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

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

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

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

  callListSavedQueries();

listSavedQueriesStream(request, options)

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

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

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

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

locationPath(project, location)

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

Return a fully-qualified location resource name string.

Parameters
Name	Description
project	string
location	string

Returns
Type	Description
string	{string} Resource name string.

matchAnnotationFromAnnotationName(annotationName)

matchAnnotationFromAnnotationName(annotationName: string): string | number;

Parse the annotation from Annotation resource.

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

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

matchAnnotationSpecFromAnnotationSpecName(annotationSpecName)

matchAnnotationSpecFromAnnotationSpecName(annotationSpecName: string): string | number;

Parse the annotation_spec from AnnotationSpec resource.

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

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

matchArtifactFromArtifactName(artifactName)

matchArtifactFromArtifactName(artifactName: string): string | number;

Parse the artifact from Artifact resource.

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

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

matchBatchPredictionJobFromBatchPredictionJobName(batchPredictionJobName)

matchBatchPredictionJobFromBatchPredictionJobName(batchPredictionJobName: string): string | number;

Parse the batch_prediction_job from BatchPredictionJob resource.

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

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

matchContextFromContextName(contextName)

matchContextFromContextName(contextName: string): string | number;

Parse the context from Context resource.

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

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

matchCustomJobFromCustomJobName(customJobName)

matchCustomJobFromCustomJobName(customJobName: string): string | number;

Parse the custom_job from CustomJob resource.

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

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

matchDataItemFromAnnotationName(annotationName)

matchDataItemFromAnnotationName(annotationName: string): string | number;

Parse the data_item from Annotation resource.

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

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

matchDataItemFromDataItemName(dataItemName)

matchDataItemFromDataItemName(dataItemName: string): string | number;

Parse the data_item from DataItem resource.

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

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

matchDataLabelingJobFromDataLabelingJobName(dataLabelingJobName)

matchDataLabelingJobFromDataLabelingJobName(dataLabelingJobName: string): string | number;

Parse the data_labeling_job from DataLabelingJob resource.

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

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

matchDatasetFromAnnotationName(annotationName)

matchDatasetFromAnnotationName(annotationName: string): string | number;

Parse the dataset from Annotation resource.

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

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

matchDatasetFromAnnotationSpecName(annotationSpecName)

matchDatasetFromAnnotationSpecName(annotationSpecName: string): string | number;

Parse the dataset from AnnotationSpec resource.

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

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

matchDatasetFromDataItemName(dataItemName)

matchDatasetFromDataItemName(dataItemName: string): string | number;

Parse the dataset from DataItem resource.

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

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

matchDatasetFromDatasetName(datasetName)

matchDatasetFromDatasetName(datasetName: string): string | number;

Parse the dataset from Dataset resource.

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

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

matchDatasetFromDatasetVersionName(datasetVersionName)

matchDatasetFromDatasetVersionName(datasetVersionName: string): string | number;

Parse the dataset from DatasetVersion resource.

Parameter
Name	Description
datasetVersionName	string A fully-qualified path representing DatasetVersion resource.

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

matchDatasetFromSavedQueryName(savedQueryName)

matchDatasetFromSavedQueryName(savedQueryName: string): string | number;

Parse the dataset from SavedQuery resource.

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

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

matchDatasetVersionFromDatasetVersionName(datasetVersionName)

matchDatasetVersionFromDatasetVersionName(datasetVersionName: string): string | number;

Parse the dataset_version from DatasetVersion resource.

Parameter
Name	Description
datasetVersionName	string A fully-qualified path representing DatasetVersion resource.

Returns
Type	Description
string | number	{string} A string representing the dataset_version.

matchEndpointFromProjectLocationEndpointName(projectLocationEndpointName)

matchEndpointFromProjectLocationEndpointName(projectLocationEndpointName: string): string | number;

Parse the endpoint from ProjectLocationEndpoint resource.

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

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

matchEntityTypeFromEntityTypeName(entityTypeName)

matchEntityTypeFromEntityTypeName(entityTypeName: string): string | number;

Parse the entity_type from EntityType resource.

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

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

matchEntityTypeFromProjectLocationFeaturestoreEntityTypeFeatureName(projectLocationFeaturestoreEntityTypeFeatureName)

matchEntityTypeFromProjectLocationFeaturestoreEntityTypeFeatureName(projectLocationFeaturestoreEntityTypeFeatureName: string): string | number;

Parse the entity_type from ProjectLocationFeaturestoreEntityTypeFeature resource.

Parameter
Name	Description
projectLocationFeaturestoreEntityTypeFeatureName	string A fully-qualified path representing project_location_featurestore_entity_type_feature resource.

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

matchEvaluationFromModelEvaluationName(modelEvaluationName)

matchEvaluationFromModelEvaluationName(modelEvaluationName: string): string | number;

Parse the evaluation from ModelEvaluation resource.

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

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

matchEvaluationFromModelEvaluationSliceName(modelEvaluationSliceName)

matchEvaluationFromModelEvaluationSliceName(modelEvaluationSliceName: string): string | number;

Parse the evaluation from ModelEvaluationSlice resource.

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

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

matchExecutionFromExecutionName(executionName)

matchExecutionFromExecutionName(executionName: string): string | number;

Parse the execution from Execution resource.

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

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

matchExperimentFromTensorboardExperimentName(tensorboardExperimentName)

matchExperimentFromTensorboardExperimentName(tensorboardExperimentName: string): string | number;

Parse the experiment from TensorboardExperiment resource.

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

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

matchExperimentFromTensorboardRunName(tensorboardRunName)

matchExperimentFromTensorboardRunName(tensorboardRunName: string): string | number;

Parse the experiment from TensorboardRun resource.

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

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

matchExperimentFromTensorboardTimeSeriesName(tensorboardTimeSeriesName)

matchExperimentFromTensorboardTimeSeriesName(tensorboardTimeSeriesName: string): string | number;

Parse the experiment from TensorboardTimeSeries resource.

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

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

matchFeatureFromProjectLocationFeatureGroupFeatureName(projectLocationFeatureGroupFeatureName)

matchFeatureFromProjectLocationFeatureGroupFeatureName(projectLocationFeatureGroupFeatureName: string): string | number;

Parse the feature from ProjectLocationFeatureGroupFeature resource.

Parameter
Name	Description
projectLocationFeatureGroupFeatureName	string A fully-qualified path representing project_location_feature_group_feature resource.

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

matchFeatureFromProjectLocationFeaturestoreEntityTypeFeatureName(projectLocationFeaturestoreEntityTypeFeatureName)

matchFeatureFromProjectLocationFeaturestoreEntityTypeFeatureName(projectLocationFeaturestoreEntityTypeFeatureName: string): string | number;

Parse the feature from ProjectLocationFeaturestoreEntityTypeFeature resource.

Parameter
Name	Description
projectLocationFeaturestoreEntityTypeFeatureName	string A fully-qualified path representing project_location_featurestore_entity_type_feature resource.

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

matchFeatureGroupFromFeatureGroupName(featureGroupName)

matchFeatureGroupFromFeatureGroupName(featureGroupName: string): string | number;

Parse the feature_group from FeatureGroup resource.

Parameter
Name	Description
featureGroupName	string A fully-qualified path representing FeatureGroup resource.

Returns
Type	Description
string | number	{string} A string representing the feature_group.

matchFeatureGroupFromProjectLocationFeatureGroupFeatureName(projectLocationFeatureGroupFeatureName)

matchFeatureGroupFromProjectLocationFeatureGroupFeatureName(projectLocationFeatureGroupFeatureName: string): string | number;

Parse the feature_group from ProjectLocationFeatureGroupFeature resource.

Parameter
Name	Description
projectLocationFeatureGroupFeatureName	string A fully-qualified path representing project_location_feature_group_feature resource.

Returns
Type	Description
string | number	{string} A string representing the feature_group.

matchFeatureOnlineStoreFromFeatureOnlineStoreName(featureOnlineStoreName)

matchFeatureOnlineStoreFromFeatureOnlineStoreName(featureOnlineStoreName: string): string | number;

Parse the feature_online_store from FeatureOnlineStore resource.

Parameter
Name	Description
featureOnlineStoreName	string A fully-qualified path representing FeatureOnlineStore resource.

Returns
Type	Description
string | number	{string} A string representing the feature_online_store.

matchFeatureOnlineStoreFromFeatureViewName(featureViewName)

matchFeatureOnlineStoreFromFeatureViewName(featureViewName: string): string | number;

Parse the feature_online_store from FeatureView resource.

Parameter
Name	Description
featureViewName	string A fully-qualified path representing FeatureView resource.

Returns
Type	Description
string | number	{string} A string representing the feature_online_store.

matchFeatureOnlineStoreFromFeatureViewSyncName(featureViewSyncName)

matchFeatureOnlineStoreFromFeatureViewSyncName(featureViewSyncName: string): string | number;

Parse the feature_online_store from FeatureViewSync resource.

Parameter
Name	Description
featureViewSyncName	string A fully-qualified path representing FeatureViewSync resource.

Returns
Type	Description
string | number	{string} A string representing the feature_online_store.

matchFeaturestoreFromEntityTypeName(entityTypeName)

matchFeaturestoreFromEntityTypeName(entityTypeName: string): string | number;

Parse the featurestore from EntityType resource.

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

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

matchFeaturestoreFromFeaturestoreName(featurestoreName)

matchFeaturestoreFromFeaturestoreName(featurestoreName: string): string | number;

Parse the featurestore from Featurestore resource.

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

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

matchFeaturestoreFromProjectLocationFeaturestoreEntityTypeFeatureName(projectLocationFeaturestoreEntityTypeFeatureName)

matchFeaturestoreFromProjectLocationFeaturestoreEntityTypeFeatureName(projectLocationFeaturestoreEntityTypeFeatureName: string): string | number;

Parse the featurestore from ProjectLocationFeaturestoreEntityTypeFeature resource.

Parameter
Name	Description
projectLocationFeaturestoreEntityTypeFeatureName	string A fully-qualified path representing project_location_featurestore_entity_type_feature resource.

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

matchFeatureViewFromFeatureViewName(featureViewName)

matchFeatureViewFromFeatureViewName(featureViewName: string): string | number;

Parse the feature_view from FeatureView resource.

Parameter
Name	Description
featureViewName	string A fully-qualified path representing FeatureView resource.

Returns
Type	Description
string | number	{string} A string representing the feature_view.

matchFeatureViewFromFeatureViewSyncName(featureViewSyncName)

matchFeatureViewFromFeatureViewSyncName(featureViewSyncName: string): string | number;

Parse the feature_view from FeatureViewSync resource.

Parameter
Name	Description
featureViewSyncName	string A fully-qualified path representing FeatureViewSync resource.

Returns
Type	Description
string | number	{string} A string representing the feature_view.

matchHyperparameterTuningJobFromHyperparameterTuningJobName(hyperparameterTuningJobName)

matchHyperparameterTuningJobFromHyperparameterTuningJobName(hyperparameterTuningJobName: string): string | number;

Parse the hyperparameter_tuning_job from HyperparameterTuningJob resource.

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

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

matchIndexEndpointFromIndexEndpointName(indexEndpointName)

matchIndexEndpointFromIndexEndpointName(indexEndpointName: string): string | number;

Parse the index_endpoint from IndexEndpoint resource.

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

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

matchIndexFromIndexName(indexName)

matchIndexFromIndexName(indexName: string): string | number;

Parse the index from Index resource.

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

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

matchLocationFromAnnotationName(annotationName)

matchLocationFromAnnotationName(annotationName: string): string | number;

Parse the location from Annotation resource.

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

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

matchLocationFromAnnotationSpecName(annotationSpecName)

matchLocationFromAnnotationSpecName(annotationSpecName: string): string | number;

Parse the location from AnnotationSpec resource.

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

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

matchLocationFromArtifactName(artifactName)

matchLocationFromArtifactName(artifactName: string): string | number;

Parse the location from Artifact resource.

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

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

matchLocationFromBatchPredictionJobName(batchPredictionJobName)

matchLocationFromBatchPredictionJobName(batchPredictionJobName: string): string | number;

Parse the location from BatchPredictionJob resource.

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

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

matchLocationFromContextName(contextName)

matchLocationFromContextName(contextName: string): string | number;

Parse the location from Context resource.

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

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

matchLocationFromCustomJobName(customJobName)

matchLocationFromCustomJobName(customJobName: string): string | number;

Parse the location from CustomJob resource.

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

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

matchLocationFromDataItemName(dataItemName)

matchLocationFromDataItemName(dataItemName: string): string | number;

Parse the location from DataItem resource.

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

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

matchLocationFromDataLabelingJobName(dataLabelingJobName)

matchLocationFromDataLabelingJobName(dataLabelingJobName: string): string | number;

Parse the location from DataLabelingJob resource.

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

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

matchLocationFromDatasetName(datasetName)

matchLocationFromDatasetName(datasetName: string): string | number;

Parse the location from Dataset resource.

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

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

matchLocationFromDatasetVersionName(datasetVersionName)

matchLocationFromDatasetVersionName(datasetVersionName: string): string | number;

Parse the location from DatasetVersion resource.

Parameter
Name	Description
datasetVersionName	string A fully-qualified path representing DatasetVersion resource.

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

matchLocationFromEntityTypeName(entityTypeName)

matchLocationFromEntityTypeName(entityTypeName: string): string | number;

Parse the location from EntityType resource.

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

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

matchLocationFromExecutionName(executionName)

matchLocationFromExecutionName(executionName: string): string | number;

Parse the location from Execution resource.

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

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

matchLocationFromFeatureGroupName(featureGroupName)

matchLocationFromFeatureGroupName(featureGroupName: string): string | number;

Parse the location from FeatureGroup resource.

Parameter
Name	Description
featureGroupName	string A fully-qualified path representing FeatureGroup resource.

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

matchLocationFromFeatureOnlineStoreName(featureOnlineStoreName)

matchLocationFromFeatureOnlineStoreName(featureOnlineStoreName: string): string | number;

Parse the location from FeatureOnlineStore resource.

Parameter
Name	Description
featureOnlineStoreName	string A fully-qualified path representing FeatureOnlineStore resource.

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

matchLocationFromFeaturestoreName(featurestoreName)

matchLocationFromFeaturestoreName(featurestoreName: string): string | number;

Parse the location from Featurestore resource.

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

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

matchLocationFromFeatureViewName(featureViewName)

matchLocationFromFeatureViewName(featureViewName: string): string | number;

Parse the location from FeatureView resource.

Parameter
Name	Description
featureViewName	string A fully-qualified path representing FeatureView resource.

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

matchLocationFromFeatureViewSyncName(featureViewSyncName)

matchLocationFromFeatureViewSyncName(featureViewSyncName: string): string | number;

Parse the location from FeatureViewSync resource.

Parameter
Name	Description
featureViewSyncName	string A fully-qualified path representing FeatureViewSync resource.

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

matchLocationFromHyperparameterTuningJobName(hyperparameterTuningJobName)

matchLocationFromHyperparameterTuningJobName(hyperparameterTuningJobName: string): string | number;

Parse the location from HyperparameterTuningJob resource.

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

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

matchLocationFromIndexEndpointName(indexEndpointName)

matchLocationFromIndexEndpointName(indexEndpointName: string): string | number;

Parse the location from IndexEndpoint resource.

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

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

matchLocationFromIndexName(indexName)

matchLocationFromIndexName(indexName: string): string | number;

Parse the location from Index resource.

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

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

matchLocationFromLocationName(locationName)

matchLocationFromLocationName(locationName: string): string | number;

Parse the location from Location resource.

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

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

matchLocationFromMetadataSchemaName(metadataSchemaName)

matchLocationFromMetadataSchemaName(metadataSchemaName: string): string | number;

Parse the location from MetadataSchema resource.

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

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

matchLocationFromMetadataStoreName(metadataStoreName)

matchLocationFromMetadataStoreName(metadataStoreName: string): string | number;

Parse the location from MetadataStore resource.

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

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

matchLocationFromModelDeploymentMonitoringJobName(modelDeploymentMonitoringJobName)

matchLocationFromModelDeploymentMonitoringJobName(modelDeploymentMonitoringJobName: string): string | number;

Parse the location from ModelDeploymentMonitoringJob resource.

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

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

matchLocationFromModelEvaluationName(modelEvaluationName)

matchLocationFromModelEvaluationName(modelEvaluationName: string): string | number;

Parse the location from ModelEvaluation resource.

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

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

matchLocationFromModelEvaluationSliceName(modelEvaluationSliceName)

matchLocationFromModelEvaluationSliceName(modelEvaluationSliceName: string): string | number;

Parse the location from ModelEvaluationSlice resource.

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

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

matchLocationFromModelName(modelName)

matchLocationFromModelName(modelName: string): string | number;

Parse the location from Model resource.

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

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

matchLocationFromNasJobName(nasJobName)

matchLocationFromNasJobName(nasJobName: string): string | number;

Parse the location from NasJob resource.

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

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

matchLocationFromNasTrialDetailName(nasTrialDetailName)

matchLocationFromNasTrialDetailName(nasTrialDetailName: string): string | number;

Parse the location from NasTrialDetail resource.

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

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

matchLocationFromPipelineJobName(pipelineJobName)

matchLocationFromPipelineJobName(pipelineJobName: string): string | number;

Parse the location from PipelineJob resource.

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

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

matchLocationFromProjectLocationEndpointName(projectLocationEndpointName)

matchLocationFromProjectLocationEndpointName(projectLocationEndpointName: string): string | number;

Parse the location from ProjectLocationEndpoint resource.

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

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

matchLocationFromProjectLocationFeatureGroupFeatureName(projectLocationFeatureGroupFeatureName)

matchLocationFromProjectLocationFeatureGroupFeatureName(projectLocationFeatureGroupFeatureName: string): string | number;

Parse the location from ProjectLocationFeatureGroupFeature resource.

Parameter
Name	Description
projectLocationFeatureGroupFeatureName	string A fully-qualified path representing project_location_feature_group_feature resource.

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

matchLocationFromProjectLocationFeaturestoreEntityTypeFeatureName(projectLocationFeaturestoreEntityTypeFeatureName)

matchLocationFromProjectLocationFeaturestoreEntityTypeFeatureName(projectLocationFeaturestoreEntityTypeFeatureName: string): string | number;

Parse the location from ProjectLocationFeaturestoreEntityTypeFeature resource.

Parameter
Name	Description
projectLocationFeaturestoreEntityTypeFeatureName	string A fully-qualified path representing project_location_featurestore_entity_type_feature resource.

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

matchLocationFromProjectLocationPublisherModelName(projectLocationPublisherModelName)

matchLocationFromProjectLocationPublisherModelName(projectLocationPublisherModelName: string): string | number;

Parse the location from ProjectLocationPublisherModel resource.

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

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

matchLocationFromSavedQueryName(savedQueryName)

matchLocationFromSavedQueryName(savedQueryName: string): string | number;

Parse the location from SavedQuery resource.

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

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

matchLocationFromScheduleName(scheduleName)

matchLocationFromScheduleName(scheduleName: string): string | number;

Parse the location from Schedule resource.

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

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

matchLocationFromSpecialistPoolName(specialistPoolName)

matchLocationFromSpecialistPoolName(specialistPoolName: string): string | number;

Parse the location from SpecialistPool resource.

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

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

matchLocationFromStudyName(studyName)

matchLocationFromStudyName(studyName: string): string | number;

Parse the location from Study resource.

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

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

matchLocationFromTensorboardExperimentName(tensorboardExperimentName)

matchLocationFromTensorboardExperimentName(tensorboardExperimentName: string): string | number;

Parse the location from TensorboardExperiment resource.

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

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

matchLocationFromTensorboardName(tensorboardName)

matchLocationFromTensorboardName(tensorboardName: string): string | number;

Parse the location from Tensorboard resource.

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

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

matchLocationFromTensorboardRunName(tensorboardRunName)

matchLocationFromTensorboardRunName(tensorboardRunName: string): string | number;

Parse the location from TensorboardRun resource.

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

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

matchLocationFromTensorboardTimeSeriesName(tensorboardTimeSeriesName)

matchLocationFromTensorboardTimeSeriesName(tensorboardTimeSeriesName: string): string | number;

Parse the location from TensorboardTimeSeries resource.

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

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

matchLocationFromTrainingPipelineName(trainingPipelineName)

matchLocationFromTrainingPipelineName(trainingPipelineName: string): string | number;

Parse the location from TrainingPipeline resource.

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

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

matchLocationFromTrialName(trialName)

matchLocationFromTrialName(trialName: string): string | number;

Parse the location from Trial resource.

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

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

matchMetadataSchemaFromMetadataSchemaName(metadataSchemaName)

matchMetadataSchemaFromMetadataSchemaName(metadataSchemaName: string): string | number;

Parse the metadata_schema from MetadataSchema resource.

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

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

matchMetadataStoreFromArtifactName(artifactName)

matchMetadataStoreFromArtifactName(artifactName: string): string | number;

Parse the metadata_store from Artifact resource.

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

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

matchMetadataStoreFromContextName(contextName)

matchMetadataStoreFromContextName(contextName: string): string | number;

Parse the metadata_store from Context resource.

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

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

matchMetadataStoreFromExecutionName(executionName)

matchMetadataStoreFromExecutionName(executionName: string): string | number;

Parse the metadata_store from Execution resource.

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

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

matchMetadataStoreFromMetadataSchemaName(metadataSchemaName)

matchMetadataStoreFromMetadataSchemaName(metadataSchemaName: string): string | number;

Parse the metadata_store from MetadataSchema resource.

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

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

matchMetadataStoreFromMetadataStoreName(metadataStoreName)

matchMetadataStoreFromMetadataStoreName(metadataStoreName: string): string | number;

Parse the metadata_store from MetadataStore resource.

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

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

matchModelDeploymentMonitoringJobFromModelDeploymentMonitoringJobName(modelDeploymentMonitoringJobName)

matchModelDeploymentMonitoringJobFromModelDeploymentMonitoringJobName(modelDeploymentMonitoringJobName: string): string | number;

Parse the model_deployment_monitoring_job from ModelDeploymentMonitoringJob resource.

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

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

matchModelFromModelEvaluationName(modelEvaluationName)

matchModelFromModelEvaluationName(modelEvaluationName: string): string | number;

Parse the model from ModelEvaluation resource.

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

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

matchModelFromModelEvaluationSliceName(modelEvaluationSliceName)

matchModelFromModelEvaluationSliceName(modelEvaluationSliceName: string): string | number;

Parse the model from ModelEvaluationSlice resource.

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

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

matchModelFromModelName(modelName)

matchModelFromModelName(modelName: string): string | number;

Parse the model from Model resource.

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

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

matchModelFromProjectLocationPublisherModelName(projectLocationPublisherModelName)

matchModelFromProjectLocationPublisherModelName(projectLocationPublisherModelName: string): string | number;

Parse the model from ProjectLocationPublisherModel resource.

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

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

matchModelFromPublisherModelName(publisherModelName)

matchModelFromPublisherModelName(publisherModelName: string): string | number;

Parse the model from PublisherModel resource.

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

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

matchNasJobFromNasJobName(nasJobName)

matchNasJobFromNasJobName(nasJobName: string): string | number;

Parse the nas_job from NasJob resource.

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

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

matchNasJobFromNasTrialDetailName(nasTrialDetailName)

matchNasJobFromNasTrialDetailName(nasTrialDetailName: string): string | number;

Parse the nas_job from NasTrialDetail resource.

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

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

matchNasTrialDetailFromNasTrialDetailName(nasTrialDetailName)

matchNasTrialDetailFromNasTrialDetailName(nasTrialDetailName: string): string | number;

Parse the nas_trial_detail from NasTrialDetail resource.

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

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

matchPipelineJobFromPipelineJobName(pipelineJobName)

matchPipelineJobFromPipelineJobName(pipelineJobName: string): string | number;

Parse the pipeline_job from PipelineJob resource.

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

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

matchProjectFromAnnotationName(annotationName)

matchProjectFromAnnotationName(annotationName: string): string | number;

Parse the project from Annotation resource.

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

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

matchProjectFromAnnotationSpecName(annotationSpecName)

matchProjectFromAnnotationSpecName(annotationSpecName: string): string | number;

Parse the project from AnnotationSpec resource.

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

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

matchProjectFromArtifactName(artifactName)

matchProjectFromArtifactName(artifactName: string): string | number;

Parse the project from Artifact resource.

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

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

matchProjectFromBatchPredictionJobName(batchPredictionJobName)

matchProjectFromBatchPredictionJobName(batchPredictionJobName: string): string | number;

Parse the project from BatchPredictionJob resource.

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

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

matchProjectFromContextName(contextName)

matchProjectFromContextName(contextName: string): string | number;

Parse the project from Context resource.

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

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

matchProjectFromCustomJobName(customJobName)

matchProjectFromCustomJobName(customJobName: string): string | number;

Parse the project from CustomJob resource.

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

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

matchProjectFromDataItemName(dataItemName)

matchProjectFromDataItemName(dataItemName: string): string | number;

Parse the project from DataItem resource.

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

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

matchProjectFromDataLabelingJobName(dataLabelingJobName)

matchProjectFromDataLabelingJobName(dataLabelingJobName: string): string | number;

Parse the project from DataLabelingJob resource.

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

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

matchProjectFromDatasetName(datasetName)

matchProjectFromDatasetName(datasetName: string): string | number;

Parse the project from Dataset resource.

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

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

matchProjectFromDatasetVersionName(datasetVersionName)

matchProjectFromDatasetVersionName(datasetVersionName: string): string | number;

Parse the project from DatasetVersion resource.

Parameter
Name	Description
datasetVersionName	string A fully-qualified path representing DatasetVersion resource.

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

matchProjectFromEntityTypeName(entityTypeName)

matchProjectFromEntityTypeName(entityTypeName: string): string | number;

Parse the project from EntityType resource.

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

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

matchProjectFromExecutionName(executionName)

matchProjectFromExecutionName(executionName: string): string | number;

Parse the project from Execution resource.

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

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

matchProjectFromFeatureGroupName(featureGroupName)

matchProjectFromFeatureGroupName(featureGroupName: string): string | number;

Parse the project from FeatureGroup resource.

Parameter
Name	Description
featureGroupName	string A fully-qualified path representing FeatureGroup resource.

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

matchProjectFromFeatureOnlineStoreName(featureOnlineStoreName)

matchProjectFromFeatureOnlineStoreName(featureOnlineStoreName: string): string | number;

Parse the project from FeatureOnlineStore resource.

Parameter
Name	Description
featureOnlineStoreName	string A fully-qualified path representing FeatureOnlineStore resource.

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

matchProjectFromFeaturestoreName(featurestoreName)

matchProjectFromFeaturestoreName(featurestoreName: string): string | number;

Parse the project from Featurestore resource.

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

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

matchProjectFromFeatureViewName(featureViewName)

matchProjectFromFeatureViewName(featureViewName: string): string | number;

Parse the project from FeatureView resource.

Parameter
Name	Description
featureViewName	string A fully-qualified path representing FeatureView resource.

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

matchProjectFromFeatureViewSyncName(featureViewSyncName)

matchProjectFromFeatureViewSyncName(featureViewSyncName: string): string | number;

Parse the project from FeatureViewSync resource.

Parameter
Name	Description
featureViewSyncName	string A fully-qualified path representing FeatureViewSync resource.

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

matchProjectFromHyperparameterTuningJobName(hyperparameterTuningJobName)

matchProjectFromHyperparameterTuningJobName(hyperparameterTuningJobName: string): string | number;

Parse the project from HyperparameterTuningJob resource.

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

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

matchProjectFromIndexEndpointName(indexEndpointName)

matchProjectFromIndexEndpointName(indexEndpointName: string): string | number;

Parse the project from IndexEndpoint resource.

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

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

matchProjectFromIndexName(indexName)

matchProjectFromIndexName(indexName: string): string | number;

Parse the project from Index resource.

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

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

matchProjectFromLocationName(locationName)

matchProjectFromLocationName(locationName: string): string | number;

Parse the project from Location resource.

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

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

matchProjectFromMetadataSchemaName(metadataSchemaName)

matchProjectFromMetadataSchemaName(metadataSchemaName: string): string | number;

Parse the project from MetadataSchema resource.

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

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

matchProjectFromMetadataStoreName(metadataStoreName)

matchProjectFromMetadataStoreName(metadataStoreName: string): string | number;

Parse the project from MetadataStore resource.

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

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

matchProjectFromModelDeploymentMonitoringJobName(modelDeploymentMonitoringJobName)

matchProjectFromModelDeploymentMonitoringJobName(modelDeploymentMonitoringJobName: string): string | number;

Parse the project from ModelDeploymentMonitoringJob resource.

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

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

matchProjectFromModelEvaluationName(modelEvaluationName)

matchProjectFromModelEvaluationName(modelEvaluationName: string): string | number;

Parse the project from ModelEvaluation resource.

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

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

matchProjectFromModelEvaluationSliceName(modelEvaluationSliceName)

matchProjectFromModelEvaluationSliceName(modelEvaluationSliceName: string): string | number;

Parse the project from ModelEvaluationSlice resource.

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

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

matchProjectFromModelName(modelName)

matchProjectFromModelName(modelName: string): string | number;

Parse the project from Model resource.

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

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

matchProjectFromNasJobName(nasJobName)

matchProjectFromNasJobName(nasJobName: string): string | number;

Parse the project from NasJob resource.

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

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

matchProjectFromNasTrialDetailName(nasTrialDetailName)

matchProjectFromNasTrialDetailName(nasTrialDetailName: string): string | number;

Parse the project from NasTrialDetail resource.

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

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

matchProjectFromPipelineJobName(pipelineJobName)

matchProjectFromPipelineJobName(pipelineJobName: string): string | number;

Parse the project from PipelineJob resource.

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

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

matchProjectFromProjectLocationEndpointName(projectLocationEndpointName)

matchProjectFromProjectLocationEndpointName(projectLocationEndpointName: string): string | number;

Parse the project from ProjectLocationEndpoint resource.

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

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

matchProjectFromProjectLocationFeatureGroupFeatureName(projectLocationFeatureGroupFeatureName)

matchProjectFromProjectLocationFeatureGroupFeatureName(projectLocationFeatureGroupFeatureName: string): string | number;

Parse the project from ProjectLocationFeatureGroupFeature resource.

Parameter
Name	Description
projectLocationFeatureGroupFeatureName	string A fully-qualified path representing project_location_feature_group_feature resource.

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

matchProjectFromProjectLocationFeaturestoreEntityTypeFeatureName(projectLocationFeaturestoreEntityTypeFeatureName)

matchProjectFromProjectLocationFeaturestoreEntityTypeFeatureName(projectLocationFeaturestoreEntityTypeFeatureName: string): string | number;

Parse the project from ProjectLocationFeaturestoreEntityTypeFeature resource.

Parameter
Name	Description
projectLocationFeaturestoreEntityTypeFeatureName	string A fully-qualified path representing project_location_featurestore_entity_type_feature resource.

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

matchProjectFromProjectLocationPublisherModelName(projectLocationPublisherModelName)

matchProjectFromProjectLocationPublisherModelName(projectLocationPublisherModelName: string): string | number;

Parse the project from ProjectLocationPublisherModel resource.

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

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

matchProjectFromSavedQueryName(savedQueryName)

matchProjectFromSavedQueryName(savedQueryName: string): string | number;

Parse the project from SavedQuery resource.

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

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

matchProjectFromScheduleName(scheduleName)

matchProjectFromScheduleName(scheduleName: string): string | number;

Parse the project from Schedule resource.

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

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

matchProjectFromSpecialistPoolName(specialistPoolName)

matchProjectFromSpecialistPoolName(specialistPoolName: string): string | number;

Parse the project from SpecialistPool resource.

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

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

matchProjectFromStudyName(studyName)

matchProjectFromStudyName(studyName: string): string | number;

Parse the project from Study resource.

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

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

matchProjectFromTensorboardExperimentName(tensorboardExperimentName)

matchProjectFromTensorboardExperimentName(tensorboardExperimentName: string): string | number;

Parse the project from TensorboardExperiment resource.

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

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

matchProjectFromTensorboardName(tensorboardName)

matchProjectFromTensorboardName(tensorboardName: string): string | number;

Parse the project from Tensorboard resource.

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

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

matchProjectFromTensorboardRunName(tensorboardRunName)

matchProjectFromTensorboardRunName(tensorboardRunName: string): string | number;

Parse the project from TensorboardRun resource.

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

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

matchProjectFromTensorboardTimeSeriesName(tensorboardTimeSeriesName)

matchProjectFromTensorboardTimeSeriesName(tensorboardTimeSeriesName: string): string | number;

Parse the project from TensorboardTimeSeries resource.

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

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

matchProjectFromTrainingPipelineName(trainingPipelineName)

matchProjectFromTrainingPipelineName(trainingPipelineName: string): string | number;

Parse the project from TrainingPipeline resource.

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

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

matchProjectFromTrialName(trialName)

matchProjectFromTrialName(trialName: string): string | number;

Parse the project from Trial resource.

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

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

matchPublisherFromProjectLocationPublisherModelName(projectLocationPublisherModelName)

matchPublisherFromProjectLocationPublisherModelName(projectLocationPublisherModelName: string): string | number;

Parse the publisher from ProjectLocationPublisherModel resource.

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

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

matchPublisherFromPublisherModelName(publisherModelName)

matchPublisherFromPublisherModelName(publisherModelName: string): string | number;

Parse the publisher from PublisherModel resource.

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

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

matchRunFromTensorboardRunName(tensorboardRunName)

matchRunFromTensorboardRunName(tensorboardRunName: string): string | number;

Parse the run from TensorboardRun resource.

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

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

matchRunFromTensorboardTimeSeriesName(tensorboardTimeSeriesName)

matchRunFromTensorboardTimeSeriesName(tensorboardTimeSeriesName: string): string | number;

Parse the run from TensorboardTimeSeries resource.

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

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

matchSavedQueryFromSavedQueryName(savedQueryName)

matchSavedQueryFromSavedQueryName(savedQueryName: string): string | number;

Parse the saved_query from SavedQuery resource.

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

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

matchScheduleFromScheduleName(scheduleName)

matchScheduleFromScheduleName(scheduleName: string): string | number;

Parse the schedule from Schedule resource.

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

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

matchSliceFromModelEvaluationSliceName(modelEvaluationSliceName)

matchSliceFromModelEvaluationSliceName(modelEvaluationSliceName: string): string | number;

Parse the slice from ModelEvaluationSlice resource.

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

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

matchSpecialistPoolFromSpecialistPoolName(specialistPoolName)

matchSpecialistPoolFromSpecialistPoolName(specialistPoolName: string): string | number;

Parse the specialist_pool from SpecialistPool resource.

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

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

matchStudyFromStudyName(studyName)

matchStudyFromStudyName(studyName: string): string | number;

Parse the study from Study resource.

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

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

matchStudyFromTrialName(trialName)

matchStudyFromTrialName(trialName: string): string | number;

Parse the study from Trial resource.

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

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

matchTensorboardFromTensorboardExperimentName(tensorboardExperimentName)

matchTensorboardFromTensorboardExperimentName(tensorboardExperimentName: string): string | number;

Parse the tensorboard from TensorboardExperiment resource.

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

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

matchTensorboardFromTensorboardName(tensorboardName)

matchTensorboardFromTensorboardName(tensorboardName: string): string | number;

Parse the tensorboard from Tensorboard resource.

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

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

matchTensorboardFromTensorboardRunName(tensorboardRunName)

matchTensorboardFromTensorboardRunName(tensorboardRunName: string): string | number;

Parse the tensorboard from TensorboardRun resource.

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

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

matchTensorboardFromTensorboardTimeSeriesName(tensorboardTimeSeriesName)

matchTensorboardFromTensorboardTimeSeriesName(tensorboardTimeSeriesName: string): string | number;

Parse the tensorboard from TensorboardTimeSeries resource.

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

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

matchTimeSeriesFromTensorboardTimeSeriesName(tensorboardTimeSeriesName)

matchTimeSeriesFromTensorboardTimeSeriesName(tensorboardTimeSeriesName: string): string | number;

Parse the time_series from TensorboardTimeSeries resource.

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

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

matchTrainingPipelineFromTrainingPipelineName(trainingPipelineName)

matchTrainingPipelineFromTrainingPipelineName(trainingPipelineName: string): string | number;

Parse the training_pipeline from TrainingPipeline resource.

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

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

matchTrialFromTrialName(trialName)

matchTrialFromTrialName(trialName: string): string | number;

Parse the trial from Trial resource.

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

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

metadataSchemaPath(project, location, metadataStore, metadataSchema)

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

Return a fully-qualified metadataSchema resource name string.

Parameters
Name	Description
project	string
location	string
metadataStore	string
metadataSchema	string

Returns
Type	Description
string	{string} Resource name string.

metadataStorePath(project, location, metadataStore)

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

Return a fully-qualified metadataStore resource name string.

Parameters
Name	Description
project	string
location	string
metadataStore	string

Returns
Type	Description
string	{string} Resource name string.

modelDeploymentMonitoringJobPath(project, location, modelDeploymentMonitoringJob)

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

Return a fully-qualified modelDeploymentMonitoringJob resource name string.

Parameters
Name	Description
project	string
location	string
modelDeploymentMonitoringJob	string

Returns
Type	Description
string	{string} Resource name string.

modelEvaluationPath(project, location, model, evaluation)

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

Return a fully-qualified modelEvaluation resource name string.

Parameters
Name	Description
project	string
location	string
model	string
evaluation	string

Returns
Type	Description
string	{string} Resource name string.

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

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

Return a fully-qualified modelEvaluationSlice resource name string.

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

Returns
Type	Description
string	{string} Resource name string.

modelPath(project, location, model)

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

Return a fully-qualified model resource name string.

Parameters
Name	Description
project	string
location	string
model	string

Returns
Type	Description
string	{string} Resource name string.

nasJobPath(project, location, nasJob)

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

Return a fully-qualified nasJob resource name string.

Parameters
Name	Description
project	string
location	string
nasJob	string

Returns
Type	Description
string	{string} Resource name string.

nasTrialDetailPath(project, location, nasJob, nasTrialDetail)

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

Return a fully-qualified nasTrialDetail resource name string.

Parameters
Name	Description
project	string
location	string
nasJob	string
nasTrialDetail	string

Returns
Type	Description
string	{string} Resource name string.

pipelineJobPath(project, location, pipelineJob)

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

Return a fully-qualified pipelineJob resource name string.

Parameters
Name	Description
project	string
location	string
pipelineJob	string

Returns
Type	Description
string	{string} Resource name string.

projectLocationEndpointPath(project, location, endpoint)

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

Return a fully-qualified projectLocationEndpoint resource name string.

Parameters
Name	Description
project	string
location	string
endpoint	string

Returns
Type	Description
string	{string} Resource name string.

projectLocationFeatureGroupFeaturePath(project, location, featureGroup, feature)

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

Return a fully-qualified projectLocationFeatureGroupFeature resource name string.

Parameters
Name	Description
project	string
location	string
featureGroup	string
feature	string

Returns
Type	Description
string	{string} Resource name string.

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

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

Return a fully-qualified projectLocationFeaturestoreEntityTypeFeature resource name string.

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

Returns
Type	Description
string	{string} Resource name string.

projectLocationPublisherModelPath(project, location, publisher, model)

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

Return a fully-qualified projectLocationPublisherModel resource name string.

Parameters
Name	Description
project	string
location	string
publisher	string
model	string

Returns
Type	Description
string	{string} Resource name string.

publisherModelPath(publisher, model)

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

Return a fully-qualified publisherModel resource name string.

Parameters
Name	Description
publisher	string
model	string

Returns
Type	Description
string	{string} Resource name string.

restoreDatasetVersion(request, options)

restoreDatasetVersion(request?: protos.google.cloud.aiplatform.v1.IRestoreDatasetVersionRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.cloud.aiplatform.v1.IDatasetVersion, protos.google.cloud.aiplatform.v1.IRestoreDatasetVersionOperationMetadata>,
        protos.google.longrunning.IOperation | undefined,
        {} | undefined
    ]>;

Restores a dataset version.

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

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

Example

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

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

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

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

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

  callRestoreDatasetVersion();

restoreDatasetVersion(request, options, callback)

restoreDatasetVersion(request: protos.google.cloud.aiplatform.v1.IRestoreDatasetVersionRequest, options: CallOptions, callback: Callback<LROperation<protos.google.cloud.aiplatform.v1.IDatasetVersion, protos.google.cloud.aiplatform.v1.IRestoreDatasetVersionOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
request	IRestoreDatasetVersionRequest
options	CallOptions
callback	Callback<LROperation<protos.google.cloud.aiplatform.v1.IDatasetVersion, protos.google.cloud.aiplatform.v1.IRestoreDatasetVersionOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>

Returns
Type	Description
void

restoreDatasetVersion(request, callback)

restoreDatasetVersion(request: protos.google.cloud.aiplatform.v1.IRestoreDatasetVersionRequest, callback: Callback<LROperation<protos.google.cloud.aiplatform.v1.IDatasetVersion, protos.google.cloud.aiplatform.v1.IRestoreDatasetVersionOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
request	IRestoreDatasetVersionRequest
callback	Callback<LROperation<protos.google.cloud.aiplatform.v1.IDatasetVersion, protos.google.cloud.aiplatform.v1.IRestoreDatasetVersionOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>

Returns
Type	Description
void

savedQueryPath(project, location, dataset, savedQuery)

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

Return a fully-qualified savedQuery resource name string.

Parameters
Name	Description
project	string
location	string
dataset	string
savedQuery	string

Returns
Type	Description
string	{string} Resource name string.

schedulePath(project, location, schedule)

schedulePath(project: string, location: string, schedule: string): string;

Return a fully-qualified schedule resource name string.

Parameters
Name	Description
project	string
location	string
schedule	string

Returns
Type	Description
string	{string} Resource name string.

searchDataItems(request, options)

searchDataItems(request?: protos.google.cloud.aiplatform.v1.ISearchDataItemsRequest, options?: CallOptions): Promise<[
        protos.google.cloud.aiplatform.v1.IDataItemView[],
        protos.google.cloud.aiplatform.v1.ISearchDataItemsRequest | null,
        protos.google.cloud.aiplatform.v1.ISearchDataItemsResponse
    ]>;

Searches DataItems in a Dataset.

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

Returns
Type	Description
Promise<[ protos.google.cloud.aiplatform.v1.IDataItemView[], protos.google.cloud.aiplatform.v1.ISearchDataItemsRequest | null, protos.google.cloud.aiplatform.v1.ISearchDataItemsResponse ]>	{Promise} - The promise which resolves to an array. The first element of the array is Array of DataItemView. 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 searchDataItemsAsync() method described below for async iteration which you can stop as needed. Please see the documentation for more details and examples.

searchDataItems(request, options, callback)

searchDataItems(request: protos.google.cloud.aiplatform.v1.ISearchDataItemsRequest, options: CallOptions, callback: PaginationCallback<protos.google.cloud.aiplatform.v1.ISearchDataItemsRequest, protos.google.cloud.aiplatform.v1.ISearchDataItemsResponse | null | undefined, protos.google.cloud.aiplatform.v1.IDataItemView>): void;

Parameters
Name	Description
request	ISearchDataItemsRequest
options	CallOptions
callback	PaginationCallback<protos.google.cloud.aiplatform.v1.ISearchDataItemsRequest, protos.google.cloud.aiplatform.v1.ISearchDataItemsResponse | null | undefined, protos.google.cloud.aiplatform.v1.IDataItemView>

Returns
Type	Description
void

searchDataItems(request, callback)

searchDataItems(request: protos.google.cloud.aiplatform.v1.ISearchDataItemsRequest, callback: PaginationCallback<protos.google.cloud.aiplatform.v1.ISearchDataItemsRequest, protos.google.cloud.aiplatform.v1.ISearchDataItemsResponse | null | undefined, protos.google.cloud.aiplatform.v1.IDataItemView>): void;

Parameters
Name	Description
request	ISearchDataItemsRequest
callback	PaginationCallback<protos.google.cloud.aiplatform.v1.ISearchDataItemsRequest, protos.google.cloud.aiplatform.v1.ISearchDataItemsResponse | null | undefined, protos.google.cloud.aiplatform.v1.IDataItemView>

Returns
Type	Description
void

searchDataItemsAsync(request, options)

searchDataItemsAsync(request?: protos.google.cloud.aiplatform.v1.ISearchDataItemsRequest, options?: CallOptions): AsyncIterable<protos.google.cloud.aiplatform.v1.IDataItemView>;

Equivalent to searchDataItems, but returns an iterable object.

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

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

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

Example

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  A comma-separated list of data item fields to order by, sorted in
   *  ascending order. Use "desc" after a field name for descending.
   */
  // const orderByDataItem = 'abc123'
  /**
   *  Expression that allows ranking results based on annotation's property.
   */
  // const orderByAnnotation = {}
  /**
   *  Required. The resource name of the Dataset from which to search DataItems.
   *  Format:
   *  `projects/{project}/locations/{location}/datasets/{dataset}`
   */
  // const dataset = 'abc123'
  /**
   *  The resource name of a SavedQuery(annotation set in UI).
   *  Format:
   *  `projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}`
   *  All of the search will be done in the context of this SavedQuery.
   */
  // const savedQuery = 'abc123'
  /**
   *  The resource name of a DataLabelingJob.
   *  Format:
   *  `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
   *  If this field is set, all of the search will be done in the context of
   *  this DataLabelingJob.
   */
  // const dataLabelingJob = 'abc123'
  /**
   *  An expression for filtering the DataItem that will be returned.
   *    * `data_item_id` - for = or !=.
   *    * `labeled` - for = or !=.
   *    * `has_annotation(ANNOTATION_SPEC_ID)` - true only for DataItem that
   *      have at least one annotation with annotation_spec_id =
   *      `ANNOTATION_SPEC_ID` in the context of SavedQuery or DataLabelingJob.
   *  For example:
   *  * `data_item=1`
   *  * `has_annotation(5)`
   */
  // const dataItemFilter = 'abc123'
  /**
   *  An expression for filtering the Annotations that will be returned per
   *  DataItem.
   *    * `annotation_spec_id` - for = or !=.
   */
  // const annotationsFilter = 'abc123'
  /**
   *  An expression that specifies what Annotations will be returned per
   *  DataItem. Annotations satisfied either of the conditions will be returned.
   *    * `annotation_spec_id` - for = or !=.
   *  Must specify `saved_query_id=` - saved query id that annotations should
   *  belong to.
   */
  // const annotationFilters = ['abc','def']
  /**
   *  Mask specifying which fields of
   *  DataItemView google.cloud.aiplatform.v1.DataItemView  to read.
   */
  // const fieldMask = {}
  /**
   *  If set, only up to this many of Annotations will be returned per
   *  DataItemView. The maximum value is 1000. If not set, the maximum value will
   *  be used.
   */
  // const annotationsLimit = 1234
  /**
   *  Requested page size. Server may return fewer results than requested.
   *  Default and maximum page size is 100.
   */
  // const pageSize = 1234
  /**
   *  A comma-separated list of fields to order by, sorted in ascending order.
   *  Use "desc" after a field name for descending.
   */
  // const orderBy = 'abc123'
  /**
   *  A token identifying a page of results for the server to return
   *  Typically obtained via
   *  SearchDataItemsResponse.next_page_token google.cloud.aiplatform.v1.SearchDataItemsResponse.next_page_token 
   *  of the previous
   *  DatasetService.SearchDataItems google.cloud.aiplatform.v1.DatasetService.SearchDataItems 
   *  call.
   */
  // const pageToken = 'abc123'

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

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

  async function callSearchDataItems() {
    // Construct request
    const request = {
      dataset,
    };

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

  callSearchDataItems();

searchDataItemsStream(request, options)

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

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

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

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

setIamPolicy(request, options, callback)

setIamPolicy(request: IamProtos.google.iam.v1.SetIamPolicyRequest, options?: gax.CallOptions | Callback<IamProtos.google.iam.v1.Policy, IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined, {} | null | undefined>, callback?: Callback<IamProtos.google.iam.v1.Policy, IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined, {} | null | undefined>): Promise<[IamProtos.google.iam.v1.Policy]>;

Returns permissions that a caller has on the specified resource. If the resource does not exist, this will return an empty set of permissions, not a NOT_FOUND error.

Note: This operation is designed to be used for building permission-aware UIs and command-line tools, not for authorization checking. This operation may "fail open" without warning.

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

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

specialistPoolPath(project, location, specialistPool)

specialistPoolPath(project: string, location: string, specialistPool: string): string;

Return a fully-qualified specialistPool resource name string.

Parameters
Name	Description
project	string
location	string
specialistPool	string

Returns
Type	Description
string	{string} Resource name string.

studyPath(project, location, study)

studyPath(project: string, location: string, study: string): string;

Return a fully-qualified study resource name string.

Parameters
Name	Description
project	string
location	string
study	string

Returns
Type	Description
string	{string} Resource name string.

tensorboardExperimentPath(project, location, tensorboard, experiment)

tensorboardExperimentPath(project: string, location: string, tensorboard: string, experiment: string): string;

Return a fully-qualified tensorboardExperiment resource name string.

Parameters
Name	Description
project	string
location	string
tensorboard	string
experiment	string

Returns
Type	Description
string	{string} Resource name string.

tensorboardPath(project, location, tensorboard)

tensorboardPath(project: string, location: string, tensorboard: string): string;

Return a fully-qualified tensorboard resource name string.

Parameters
Name	Description
project	string
location	string
tensorboard	string

Returns
Type	Description
string	{string} Resource name string.

tensorboardRunPath(project, location, tensorboard, experiment, run)

tensorboardRunPath(project: string, location: string, tensorboard: string, experiment: string, run: string): string;

Return a fully-qualified tensorboardRun resource name string.

Parameters
Name	Description
project	string
location	string
tensorboard	string
experiment	string
run	string

Returns
Type	Description
string	{string} Resource name string.

tensorboardTimeSeriesPath(project, location, tensorboard, experiment, run, timeSeries)

tensorboardTimeSeriesPath(project: string, location: string, tensorboard: string, experiment: string, run: string, timeSeries: string): string;

Return a fully-qualified tensorboardTimeSeries resource name string.

Parameters
Name	Description
project	string
location	string
tensorboard	string
experiment	string
run	string
timeSeries	string

Returns
Type	Description
string	{string} Resource name string.

testIamPermissions(request, options, callback)

testIamPermissions(request: IamProtos.google.iam.v1.TestIamPermissionsRequest, options?: gax.CallOptions | Callback<IamProtos.google.iam.v1.TestIamPermissionsResponse, IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined, {} | null | undefined>, callback?: Callback<IamProtos.google.iam.v1.TestIamPermissionsResponse, IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined, {} | null | undefined>): Promise<[IamProtos.google.iam.v1.TestIamPermissionsResponse]>;

Returns permissions that a caller has on the specified resource. If the resource does not exist, this will return an empty set of permissions, not a NOT_FOUND error.

Note: This operation is designed to be used for building permission-aware UIs and command-line tools, not for authorization checking. This operation may "fail open" without warning.

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

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

trainingPipelinePath(project, location, trainingPipeline)

trainingPipelinePath(project: string, location: string, trainingPipeline: string): string;

Return a fully-qualified trainingPipeline resource name string.

Parameters
Name	Description
project	string
location	string
trainingPipeline	string

Returns
Type	Description
string	{string} Resource name string.

trialPath(project, location, study, trial)

trialPath(project: string, location: string, study: string, trial: string): string;

Return a fully-qualified trial resource name string.

Parameters
Name	Description
project	string
location	string
study	string
trial	string

Returns
Type	Description
string	{string} Resource name string.

updateDataset(request, options)

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

Updates a Dataset.

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

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

Example

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The Dataset which replaces the resource on the server.
   */
  // const dataset = {}
  /**
   *  Required. The update mask applies to the resource.
   *  For the `FieldMask` definition, see
   *  google.protobuf.FieldMask google.protobuf.FieldMask. Updatable fields:
   *    * `display_name`
   *    * `description`
   *    * `labels`
   */
  // const updateMask = {}

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

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

  async function callUpdateDataset() {
    // Construct request
    const request = {
      dataset,
      updateMask,
    };

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

  callUpdateDataset();

updateDataset(request, options, callback)

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

Parameters
Name	Description
request	IUpdateDatasetRequest
options	CallOptions
callback	Callback<protos.google.cloud.aiplatform.v1.IDataset, protos.google.cloud.aiplatform.v1.IUpdateDatasetRequest | null | undefined, {} | null | undefined>

Returns
Type	Description
void

updateDataset(request, callback)

updateDataset(request: protos.google.cloud.aiplatform.v1.IUpdateDatasetRequest, callback: Callback<protos.google.cloud.aiplatform.v1.IDataset, protos.google.cloud.aiplatform.v1.IUpdateDatasetRequest | null | undefined, {} | null | undefined>): void;

Parameters
Name	Description
request	IUpdateDatasetRequest
callback	Callback<protos.google.cloud.aiplatform.v1.IDataset, protos.google.cloud.aiplatform.v1.IUpdateDatasetRequest | null | undefined, {} | null | undefined>

Returns
Type	Description
void