Google Cloud Ai Platform V1 Client - Class ModelServiceClient (0.30.0)

Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class ModelServiceClient.

Service Description: A service for managing Vertex AI's machine learning Models.

This class provides the ability to make remote calls to the backing service through method calls that map to API methods.

Many parameters require resource names to be formatted in a particular way. To assist with these names, this class includes a format method for each type of name, and additionally a parseName method to extract the individual identifiers contained within formatted names that are returned by the API.

This class is currently experimental and may be subject to changes. See Google\Cloud\AIPlatform\V1\ModelServiceClient for the stable implementation

Namespace

Google \ Cloud \ AIPlatform \ V1 \ Client

Methods

__construct

Constructor.

Parameters
Name	Description
`options`	`array` Optional. Options for configuring the service API wrapper.
`↳ apiEndpoint`	`string` The address of the API remote host. May optionally include the port, formatted as "
`↳ credentials`	`string\|array\|FetchAuthTokenInterface\|CredentialsWrapper` The credentials to be used by the client to authorize API calls. This option accepts either a path to a credentials file, or a decoded credentials file as a PHP array. Advanced usage: In addition, this option can also accept a pre-constructed Google\Auth\FetchAuthTokenInterface object or Google\ApiCore\CredentialsWrapper object. Note that when one of these objects are provided, any settings in $credentialsConfig will be ignored.
`↳ credentialsConfig`	`array` Options used to configure credentials, including auth token caching, for the client. For a full list of supporting configuration options, see Google\ApiCore\CredentialsWrapper::build() .
`↳ disableRetries`	`bool` Determines whether or not retries defined by the client configuration should be disabled. Defaults to `false`.
`↳ clientConfig`	`string\|array` Client method configuration, including retry settings. This option can be either a path to a JSON file, or a PHP array containing the decoded JSON data. By default this settings points to the default client config file, which is provided in the resources folder.
`↳ transport`	`string\|TransportInterface` The transport used for executing network requests. May be either the string `rest` or `grpc`. Defaults to `grpc` if gRPC support is detected on the system. Advanced usage: Additionally, it is possible to pass in an already instantiated Google\ApiCore\Transport\TransportInterface object. Note that when this object is provided, any settings in $transportConfig, and any $apiEndpoint setting, will be ignored.
`↳ transportConfig`	`array` Configuration options that will be used to construct the transport. Options for each supported transport type should be passed in a key for that transport. For example: $transportConfig = [ 'grpc' => [...], 'rest' => [...], ]; See the Google\ApiCore\Transport\GrpcTransport::build() and Google\ApiCore\Transport\RestTransport::build() methods for the supported options.
`↳ clientCertSource`	`callable` A callable which returns the client cert as a string. This can be used to provide a certificate and private key to the transport layer for mTLS.

batchImportEvaluatedAnnotations

Imports a list of externally generated EvaluatedAnnotations.

The async variant is Google\Cloud\AIPlatform\V1\Client\ModelServiceClient::batchImportEvaluatedAnnotationsAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\BatchImportEvaluatedAnnotationsRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\BatchImportEvaluatedAnnotationsResponse`

Example

use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\BatchImportEvaluatedAnnotationsRequest;
use Google\Cloud\AIPlatform\V1\BatchImportEvaluatedAnnotationsResponse;
use Google\Cloud\AIPlatform\V1\Client\ModelServiceClient;
use Google\Cloud\AIPlatform\V1\EvaluatedAnnotation;

/**
 * @param string $formattedParent The name of the parent ModelEvaluationSlice resource.
 *                                Format:
 *                                `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}`
 *                                Please see {@see ModelServiceClient::modelEvaluationSliceName()} for help formatting this field.
 */
function batch_import_evaluated_annotations_sample(string $formattedParent): void
{
    // Create a client.
    $modelServiceClient = new ModelServiceClient();

    // Prepare the request message.
    $evaluatedAnnotations = [new EvaluatedAnnotation()];
    $request = (new BatchImportEvaluatedAnnotationsRequest())
        ->setParent($formattedParent)
        ->setEvaluatedAnnotations($evaluatedAnnotations);

    // Call the API and handle any network failures.
    try {
        /** @var BatchImportEvaluatedAnnotationsResponse $response */
        $response = $modelServiceClient->batchImportEvaluatedAnnotations($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample 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.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedParent = ModelServiceClient::modelEvaluationSliceName(
        '[PROJECT]',
        '[LOCATION]',
        '[MODEL]',
        '[EVALUATION]',
        '[SLICE]'
    );

    batch_import_evaluated_annotations_sample($formattedParent);
}

batchImportModelEvaluationSlices

Imports a list of externally generated ModelEvaluationSlice.

The async variant is Google\Cloud\AIPlatform\V1\Client\ModelServiceClient::batchImportModelEvaluationSlicesAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\BatchImportModelEvaluationSlicesRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\BatchImportModelEvaluationSlicesResponse`

Example

use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\BatchImportModelEvaluationSlicesRequest;
use Google\Cloud\AIPlatform\V1\BatchImportModelEvaluationSlicesResponse;
use Google\Cloud\AIPlatform\V1\Client\ModelServiceClient;
use Google\Cloud\AIPlatform\V1\ModelEvaluationSlice;

/**
 * @param string $formattedParent The name of the parent ModelEvaluation resource.
 *                                Format:
 *                                `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
 *                                Please see {@see ModelServiceClient::modelEvaluationName()} for help formatting this field.
 */
function batch_import_model_evaluation_slices_sample(string $formattedParent): void
{
    // Create a client.
    $modelServiceClient = new ModelServiceClient();

    // Prepare the request message.
    $modelEvaluationSlices = [new ModelEvaluationSlice()];
    $request = (new BatchImportModelEvaluationSlicesRequest())
        ->setParent($formattedParent)
        ->setModelEvaluationSlices($modelEvaluationSlices);

    // Call the API and handle any network failures.
    try {
        /** @var BatchImportModelEvaluationSlicesResponse $response */
        $response = $modelServiceClient->batchImportModelEvaluationSlices($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample 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.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedParent = ModelServiceClient::modelEvaluationName(
        '[PROJECT]',
        '[LOCATION]',
        '[MODEL]',
        '[EVALUATION]'
    );

    batch_import_model_evaluation_slices_sample($formattedParent);
}

copyModel

Copies an already existing Vertex AI Model into the specified Location.

The source Model must exist in the same Project. When copying custom Models, the users themselves are responsible for Model.metadata content to be region-agnostic, as well as making sure that any resources (e.g. files) it depends on remain accessible.

The async variant is Google\Cloud\AIPlatform\V1\Client\ModelServiceClient::copyModelAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\CopyModelRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\OperationResponse`

Example

use Google\ApiCore\ApiException;
use Google\ApiCore\OperationResponse;
use Google\Cloud\AIPlatform\V1\Client\ModelServiceClient;
use Google\Cloud\AIPlatform\V1\CopyModelRequest;
use Google\Cloud\AIPlatform\V1\CopyModelResponse;
use Google\Rpc\Status;

/**
 * @param string $formattedParent      The resource name of the Location into which to copy the Model.
 *                                     Format: `projects/{project}/locations/{location}`
 *                                     Please see {@see ModelServiceClient::locationName()} for help formatting this field.
 * @param string $formattedSourceModel The resource name of the Model to copy. That Model must be in the
 *                                     same Project. Format:
 *                                     `projects/{project}/locations/{location}/models/{model}`
 *                                     Please see {@see ModelServiceClient::modelName()} for help formatting this field.
 */
function copy_model_sample(string $formattedParent, string $formattedSourceModel): void
{
    // Create a client.
    $modelServiceClient = new ModelServiceClient();

    // Prepare the request message.
    $request = (new CopyModelRequest())
        ->setParent($formattedParent)
        ->setSourceModel($formattedSourceModel);

    // Call the API and handle any network failures.
    try {
        /** @var OperationResponse $response */
        $response = $modelServiceClient->copyModel($request);
        $response->pollUntilComplete();

        if ($response->operationSucceeded()) {
            /** @var CopyModelResponse $result */
            $result = $response->getResult();
            printf('Operation successful with response data: %s' . PHP_EOL, $result->serializeToJsonString());
        } else {
            /** @var Status $error */
            $error = $response->getError();
            printf('Operation failed with error data: %s' . PHP_EOL, $error->serializeToJsonString());
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample 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.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedParent = ModelServiceClient::locationName('[PROJECT]', '[LOCATION]');
    $formattedSourceModel = ModelServiceClient::modelName('[PROJECT]', '[LOCATION]', '[MODEL]');

    copy_model_sample($formattedParent, $formattedSourceModel);
}

deleteModel

Deletes a Model.

A model cannot be deleted if any Endpoint resource has a DeployedModel based on the model in its deployed_models field.

The async variant is Google\Cloud\AIPlatform\V1\Client\ModelServiceClient::deleteModelAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\DeleteModelRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\OperationResponse`

Example

use Google\ApiCore\ApiException;
use Google\ApiCore\OperationResponse;
use Google\Cloud\AIPlatform\V1\Client\ModelServiceClient;
use Google\Cloud\AIPlatform\V1\DeleteModelRequest;
use Google\Rpc\Status;

/**
 * @param string $formattedName The name of the Model resource to be deleted.
 *                              Format: `projects/{project}/locations/{location}/models/{model}`
 *                              Please see {@see ModelServiceClient::modelName()} for help formatting this field.
 */
function delete_model_sample(string $formattedName): void
{
    // Create a client.
    $modelServiceClient = new ModelServiceClient();

    // Prepare the request message.
    $request = (new DeleteModelRequest())
        ->setName($formattedName);

    // Call the API and handle any network failures.
    try {
        /** @var OperationResponse $response */
        $response = $modelServiceClient->deleteModel($request);
        $response->pollUntilComplete();

        if ($response->operationSucceeded()) {
            printf('Operation completed successfully.' . PHP_EOL);
        } else {
            /** @var Status $error */
            $error = $response->getError();
            printf('Operation failed with error data: %s' . PHP_EOL, $error->serializeToJsonString());
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample 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.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedName = ModelServiceClient::modelName('[PROJECT]', '[LOCATION]', '[MODEL]');

    delete_model_sample($formattedName);
}

deleteModelVersion

Deletes a Model version.

Model version can only be deleted if there are no DeployedModels created from it. Deleting the only version in the Model is not allowed. Use DeleteModel for deleting the Model instead.

The async variant is Google\Cloud\AIPlatform\V1\Client\ModelServiceClient::deleteModelVersionAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\DeleteModelVersionRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\OperationResponse`

Example

use Google\ApiCore\ApiException;
use Google\ApiCore\OperationResponse;
use Google\Cloud\AIPlatform\V1\Client\ModelServiceClient;
use Google\Cloud\AIPlatform\V1\DeleteModelVersionRequest;
use Google\Rpc\Status;

/**
 * @param string $formattedName The name of the model version to be deleted, with a version ID
 *                              explicitly included.
 *
 *                              Example: `projects/{project}/locations/{location}/models/{model}&#64;1234`
 *                              Please see {@see ModelServiceClient::modelName()} for help formatting this field.
 */
function delete_model_version_sample(string $formattedName): void
{
    // Create a client.
    $modelServiceClient = new ModelServiceClient();

    // Prepare the request message.
    $request = (new DeleteModelVersionRequest())
        ->setName($formattedName);

    // Call the API and handle any network failures.
    try {
        /** @var OperationResponse $response */
        $response = $modelServiceClient->deleteModelVersion($request);
        $response->pollUntilComplete();

        if ($response->operationSucceeded()) {
            printf('Operation completed successfully.' . PHP_EOL);
        } else {
            /** @var Status $error */
            $error = $response->getError();
            printf('Operation failed with error data: %s' . PHP_EOL, $error->serializeToJsonString());
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample 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.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedName = ModelServiceClient::modelName('[PROJECT]', '[LOCATION]', '[MODEL]');

    delete_model_version_sample($formattedName);
}

exportModel

Exports a trained, exportable Model to a location specified by the user. A Model is considered to be exportable if it has at least one supported export format.

The async variant is Google\Cloud\AIPlatform\V1\Client\ModelServiceClient::exportModelAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\ExportModelRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\OperationResponse`

Example

use Google\ApiCore\ApiException;
use Google\ApiCore\OperationResponse;
use Google\Cloud\AIPlatform\V1\Client\ModelServiceClient;
use Google\Cloud\AIPlatform\V1\ExportModelRequest;
use Google\Cloud\AIPlatform\V1\ExportModelRequest\OutputConfig;
use Google\Cloud\AIPlatform\V1\ExportModelResponse;
use Google\Rpc\Status;

/**
 * @param string $formattedName The resource name of the Model to export.
 *                              The resource name may contain version id or version alias to specify the
 *                              version, if no version is specified, the default version will be exported. Please see
 *                              {@see ModelServiceClient::modelName()} for help formatting this field.
 */
function export_model_sample(string $formattedName): void
{
    // Create a client.
    $modelServiceClient = new ModelServiceClient();

    // Prepare the request message.
    $outputConfig = new OutputConfig();
    $request = (new ExportModelRequest())
        ->setName($formattedName)
        ->setOutputConfig($outputConfig);

    // Call the API and handle any network failures.
    try {
        /** @var OperationResponse $response */
        $response = $modelServiceClient->exportModel($request);
        $response->pollUntilComplete();

        if ($response->operationSucceeded()) {
            /** @var ExportModelResponse $result */
            $result = $response->getResult();
            printf('Operation successful with response data: %s' . PHP_EOL, $result->serializeToJsonString());
        } else {
            /** @var Status $error */
            $error = $response->getError();
            printf('Operation failed with error data: %s' . PHP_EOL, $error->serializeToJsonString());
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample 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.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedName = ModelServiceClient::modelName('[PROJECT]', '[LOCATION]', '[MODEL]');

    export_model_sample($formattedName);
}

getModel

Gets a Model.

The async variant is Google\Cloud\AIPlatform\V1\Client\ModelServiceClient::getModelAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\GetModelRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\Model`

Example

use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\ModelServiceClient;
use Google\Cloud\AIPlatform\V1\GetModelRequest;
use Google\Cloud\AIPlatform\V1\Model;

/**
 * @param string $formattedName The name of the Model resource.
 *                              Format: `projects/{project}/locations/{location}/models/{model}`
 *
 *                              In order to retrieve a specific version of the model, also provide
 *                              the version ID or version alias.
 *                              Example: `projects/{project}/locations/{location}/models/{model}&#64;2`
 *                              or
 *                              `projects/{project}/locations/{location}/models/{model}&#64;golden`
 *                              If no version ID or alias is specified, the "default" version will be
 *                              returned. The "default" version alias is created for the first version of
 *                              the model, and can be moved to other versions later on. There will be
 *                              exactly one default version. Please see
 *                              {@see ModelServiceClient::modelName()} for help formatting this field.
 */
function get_model_sample(string $formattedName): void
{
    // Create a client.
    $modelServiceClient = new ModelServiceClient();

    // Prepare the request message.
    $request = (new GetModelRequest())
        ->setName($formattedName);

    // Call the API and handle any network failures.
    try {
        /** @var Model $response */
        $response = $modelServiceClient->getModel($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample 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.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedName = ModelServiceClient::modelName('[PROJECT]', '[LOCATION]', '[MODEL]');

    get_model_sample($formattedName);
}

getModelEvaluation

Gets a ModelEvaluation.

The async variant is Google\Cloud\AIPlatform\V1\Client\ModelServiceClient::getModelEvaluationAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\GetModelEvaluationRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\ModelEvaluation`

Example

use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\ModelServiceClient;
use Google\Cloud\AIPlatform\V1\GetModelEvaluationRequest;
use Google\Cloud\AIPlatform\V1\ModelEvaluation;

/**
 * @param string $formattedName The name of the ModelEvaluation resource.
 *                              Format:
 *                              `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
 *                              Please see {@see ModelServiceClient::modelEvaluationName()} for help formatting this field.
 */
function get_model_evaluation_sample(string $formattedName): void
{
    // Create a client.
    $modelServiceClient = new ModelServiceClient();

    // Prepare the request message.
    $request = (new GetModelEvaluationRequest())
        ->setName($formattedName);

    // Call the API and handle any network failures.
    try {
        /** @var ModelEvaluation $response */
        $response = $modelServiceClient->getModelEvaluation($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample 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.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedName = ModelServiceClient::modelEvaluationName(
        '[PROJECT]',
        '[LOCATION]',
        '[MODEL]',
        '[EVALUATION]'
    );

    get_model_evaluation_sample($formattedName);
}

getModelEvaluationSlice

Gets a ModelEvaluationSlice.

The async variant is Google\Cloud\AIPlatform\V1\Client\ModelServiceClient::getModelEvaluationSliceAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\GetModelEvaluationSliceRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\ModelEvaluationSlice`

Example

use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\ModelServiceClient;
use Google\Cloud\AIPlatform\V1\GetModelEvaluationSliceRequest;
use Google\Cloud\AIPlatform\V1\ModelEvaluationSlice;

/**
 * @param string $formattedName The name of the ModelEvaluationSlice resource.
 *                              Format:
 *                              `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}`
 *                              Please see {@see ModelServiceClient::modelEvaluationSliceName()} for help formatting this field.
 */
function get_model_evaluation_slice_sample(string $formattedName): void
{
    // Create a client.
    $modelServiceClient = new ModelServiceClient();

    // Prepare the request message.
    $request = (new GetModelEvaluationSliceRequest())
        ->setName($formattedName);

    // Call the API and handle any network failures.
    try {
        /** @var ModelEvaluationSlice $response */
        $response = $modelServiceClient->getModelEvaluationSlice($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample 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.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedName = ModelServiceClient::modelEvaluationSliceName(
        '[PROJECT]',
        '[LOCATION]',
        '[MODEL]',
        '[EVALUATION]',
        '[SLICE]'
    );

    get_model_evaluation_slice_sample($formattedName);
}

importModelEvaluation

Imports an externally generated ModelEvaluation.

The async variant is Google\Cloud\AIPlatform\V1\Client\ModelServiceClient::importModelEvaluationAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\ImportModelEvaluationRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\ModelEvaluation`

Example

use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\ModelServiceClient;
use Google\Cloud\AIPlatform\V1\ImportModelEvaluationRequest;
use Google\Cloud\AIPlatform\V1\ModelEvaluation;

/**
 * @param string $formattedParent The name of the parent model resource.
 *                                Format: `projects/{project}/locations/{location}/models/{model}`
 *                                Please see {@see ModelServiceClient::modelName()} for help formatting this field.
 */
function import_model_evaluation_sample(string $formattedParent): void
{
    // Create a client.
    $modelServiceClient = new ModelServiceClient();

    // Prepare the request message.
    $modelEvaluation = new ModelEvaluation();
    $request = (new ImportModelEvaluationRequest())
        ->setParent($formattedParent)
        ->setModelEvaluation($modelEvaluation);

    // Call the API and handle any network failures.
    try {
        /** @var ModelEvaluation $response */
        $response = $modelServiceClient->importModelEvaluation($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample 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.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedParent = ModelServiceClient::modelName('[PROJECT]', '[LOCATION]', '[MODEL]');

    import_model_evaluation_sample($formattedParent);
}

listModelEvaluationSlices

Lists ModelEvaluationSlices in a ModelEvaluation.

The async variant is Google\Cloud\AIPlatform\V1\Client\ModelServiceClient::listModelEvaluationSlicesAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\ListModelEvaluationSlicesRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\PagedListResponse`

Example

use Google\ApiCore\ApiException;
use Google\ApiCore\PagedListResponse;
use Google\Cloud\AIPlatform\V1\Client\ModelServiceClient;
use Google\Cloud\AIPlatform\V1\ListModelEvaluationSlicesRequest;
use Google\Cloud\AIPlatform\V1\ModelEvaluationSlice;

/**
 * @param string $formattedParent The resource name of the ModelEvaluation to list the
 *                                ModelEvaluationSlices from. Format:
 *                                `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
 *                                Please see {@see ModelServiceClient::modelEvaluationName()} for help formatting this field.
 */
function list_model_evaluation_slices_sample(string $formattedParent): void
{
    // Create a client.
    $modelServiceClient = new ModelServiceClient();

    // Prepare the request message.
    $request = (new ListModelEvaluationSlicesRequest())
        ->setParent($formattedParent);

    // Call the API and handle any network failures.
    try {
        /** @var PagedListResponse $response */
        $response = $modelServiceClient->listModelEvaluationSlices($request);

        /** @var ModelEvaluationSlice $element */
        foreach ($response as $element) {
            printf('Element data: %s' . PHP_EOL, $element->serializeToJsonString());
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample 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.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedParent = ModelServiceClient::modelEvaluationName(
        '[PROJECT]',
        '[LOCATION]',
        '[MODEL]',
        '[EVALUATION]'
    );

    list_model_evaluation_slices_sample($formattedParent);
}

listModelEvaluations

Lists ModelEvaluations in a Model.

The async variant is Google\Cloud\AIPlatform\V1\Client\ModelServiceClient::listModelEvaluationsAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\ListModelEvaluationsRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\PagedListResponse`

Example

use Google\ApiCore\ApiException;
use Google\ApiCore\PagedListResponse;
use Google\Cloud\AIPlatform\V1\Client\ModelServiceClient;
use Google\Cloud\AIPlatform\V1\ListModelEvaluationsRequest;
use Google\Cloud\AIPlatform\V1\ModelEvaluation;

/**
 * @param string $formattedParent The resource name of the Model to list the ModelEvaluations from.
 *                                Format: `projects/{project}/locations/{location}/models/{model}`
 *                                Please see {@see ModelServiceClient::modelName()} for help formatting this field.
 */
function list_model_evaluations_sample(string $formattedParent): void
{
    // Create a client.
    $modelServiceClient = new ModelServiceClient();

    // Prepare the request message.
    $request = (new ListModelEvaluationsRequest())
        ->setParent($formattedParent);

    // Call the API and handle any network failures.
    try {
        /** @var PagedListResponse $response */
        $response = $modelServiceClient->listModelEvaluations($request);

        /** @var ModelEvaluation $element */
        foreach ($response as $element) {
            printf('Element data: %s' . PHP_EOL, $element->serializeToJsonString());
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample 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.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedParent = ModelServiceClient::modelName('[PROJECT]', '[LOCATION]', '[MODEL]');

    list_model_evaluations_sample($formattedParent);
}

listModelVersions

Lists versions of the specified model.

The async variant is Google\Cloud\AIPlatform\V1\Client\ModelServiceClient::listModelVersionsAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\ListModelVersionsRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\PagedListResponse`

Example

use Google\ApiCore\ApiException;
use Google\ApiCore\PagedListResponse;
use Google\Cloud\AIPlatform\V1\Client\ModelServiceClient;
use Google\Cloud\AIPlatform\V1\ListModelVersionsRequest;
use Google\Cloud\AIPlatform\V1\Model;

/**
 * @param string $formattedName The name of the model to list versions for. Please see
 *                              {@see ModelServiceClient::modelName()} for help formatting this field.
 */
function list_model_versions_sample(string $formattedName): void
{
    // Create a client.
    $modelServiceClient = new ModelServiceClient();

    // Prepare the request message.
    $request = (new ListModelVersionsRequest())
        ->setName($formattedName);

    // Call the API and handle any network failures.
    try {
        /** @var PagedListResponse $response */
        $response = $modelServiceClient->listModelVersions($request);

        /** @var Model $element */
        foreach ($response as $element) {
            printf('Element data: %s' . PHP_EOL, $element->serializeToJsonString());
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample 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.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedName = ModelServiceClient::modelName('[PROJECT]', '[LOCATION]', '[MODEL]');

    list_model_versions_sample($formattedName);
}

listModels

Lists Models in a Location.

The async variant is Google\Cloud\AIPlatform\V1\Client\ModelServiceClient::listModelsAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\ListModelsRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\PagedListResponse`

Example

use Google\ApiCore\ApiException;
use Google\ApiCore\PagedListResponse;
use Google\Cloud\AIPlatform\V1\Client\ModelServiceClient;
use Google\Cloud\AIPlatform\V1\ListModelsRequest;
use Google\Cloud\AIPlatform\V1\Model;

/**
 * @param string $formattedParent The resource name of the Location to list the Models from.
 *                                Format: `projects/{project}/locations/{location}`
 *                                Please see {@see ModelServiceClient::locationName()} for help formatting this field.
 */
function list_models_sample(string $formattedParent): void
{
    // Create a client.
    $modelServiceClient = new ModelServiceClient();

    // Prepare the request message.
    $request = (new ListModelsRequest())
        ->setParent($formattedParent);

    // Call the API and handle any network failures.
    try {
        /** @var PagedListResponse $response */
        $response = $modelServiceClient->listModels($request);

        /** @var Model $element */
        foreach ($response as $element) {
            printf('Element data: %s' . PHP_EOL, $element->serializeToJsonString());
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample 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.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedParent = ModelServiceClient::locationName('[PROJECT]', '[LOCATION]');

    list_models_sample($formattedParent);
}

mergeVersionAliases

Merges a set of aliases for a Model version.

The async variant is Google\Cloud\AIPlatform\V1\Client\ModelServiceClient::mergeVersionAliasesAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\MergeVersionAliasesRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\Model`

Example

use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\ModelServiceClient;
use Google\Cloud\AIPlatform\V1\MergeVersionAliasesRequest;
use Google\Cloud\AIPlatform\V1\Model;

/**
 * @param string $formattedName         The name of the model version to merge aliases, with a version ID
 *                                      explicitly included.
 *
 *                                      Example: `projects/{project}/locations/{location}/models/{model}&#64;1234`
 *                                      Please see {@see ModelServiceClient::modelName()} for help formatting this field.
 * @param string $versionAliasesElement The set of version aliases to merge.
 *                                      The alias should be at most 128 characters, and match
 *                                      `[a-z][a-zA-Z0-9-]{0,126}[a-z-0-9]`.
 *                                      Add the `-` prefix to an alias means removing that alias from the version.
 *                                      `-` is NOT counted in the 128 characters. Example: `-golden` means removing
 *                                      the `golden` alias from the version.
 *
 *                                      There is NO ordering in aliases, which means
 *                                      1) The aliases returned from GetModel API might not have the exactly same
 *                                      order from this MergeVersionAliases API. 2) Adding and deleting the same
 *                                      alias in the request is not recommended, and the 2 operations will be
 *                                      cancelled out.
 */
function merge_version_aliases_sample(string $formattedName, string $versionAliasesElement): void
{
    // Create a client.
    $modelServiceClient = new ModelServiceClient();

    // Prepare the request message.
    $versionAliases = [$versionAliasesElement,];
    $request = (new MergeVersionAliasesRequest())
        ->setName($formattedName)
        ->setVersionAliases($versionAliases);

    // Call the API and handle any network failures.
    try {
        /** @var Model $response */
        $response = $modelServiceClient->mergeVersionAliases($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample 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.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedName = ModelServiceClient::modelName('[PROJECT]', '[LOCATION]', '[MODEL]');
    $versionAliasesElement = '[VERSION_ALIASES]';

    merge_version_aliases_sample($formattedName, $versionAliasesElement);
}

updateExplanationDataset

Incrementally update the dataset used for an examples model.

The async variant is Google\Cloud\AIPlatform\V1\Client\ModelServiceClient::updateExplanationDatasetAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\UpdateExplanationDatasetRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\OperationResponse`

Example

use Google\ApiCore\ApiException;
use Google\ApiCore\OperationResponse;
use Google\Cloud\AIPlatform\V1\Client\ModelServiceClient;
use Google\Cloud\AIPlatform\V1\UpdateExplanationDatasetRequest;
use Google\Cloud\AIPlatform\V1\UpdateExplanationDatasetResponse;
use Google\Rpc\Status;

/**
 * @param string $formattedModel The resource name of the Model to update.
 *                               Format: `projects/{project}/locations/{location}/models/{model}`
 *                               Please see {@see ModelServiceClient::modelName()} for help formatting this field.
 */
function update_explanation_dataset_sample(string $formattedModel): void
{
    // Create a client.
    $modelServiceClient = new ModelServiceClient();

    // Prepare the request message.
    $request = (new UpdateExplanationDatasetRequest())
        ->setModel($formattedModel);

    // Call the API and handle any network failures.
    try {
        /** @var OperationResponse $response */
        $response = $modelServiceClient->updateExplanationDataset($request);
        $response->pollUntilComplete();

        if ($response->operationSucceeded()) {
            /** @var UpdateExplanationDatasetResponse $result */
            $result = $response->getResult();
            printf('Operation successful with response data: %s' . PHP_EOL, $result->serializeToJsonString());
        } else {
            /** @var Status $error */
            $error = $response->getError();
            printf('Operation failed with error data: %s' . PHP_EOL, $error->serializeToJsonString());
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample 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.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedModel = ModelServiceClient::modelName('[PROJECT]', '[LOCATION]', '[MODEL]');

    update_explanation_dataset_sample($formattedModel);
}

updateModel

Updates a Model.

The async variant is Google\Cloud\AIPlatform\V1\Client\ModelServiceClient::updateModelAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\UpdateModelRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\Model`

Example

use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\ModelServiceClient;
use Google\Cloud\AIPlatform\V1\Model;
use Google\Cloud\AIPlatform\V1\UpdateModelRequest;
use Google\Protobuf\FieldMask;

/**
 * @param string $modelDisplayName The display name of the Model.
 *                                 The name can be up to 128 characters long and can consist of any UTF-8
 *                                 characters.
 */
function update_model_sample(string $modelDisplayName): void
{
    // Create a client.
    $modelServiceClient = new ModelServiceClient();

    // Prepare the request message.
    $model = (new Model())
        ->setDisplayName($modelDisplayName);
    $updateMask = new FieldMask();
    $request = (new UpdateModelRequest())
        ->setModel($model)
        ->setUpdateMask($updateMask);

    // Call the API and handle any network failures.
    try {
        /** @var Model $response */
        $response = $modelServiceClient->updateModel($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample 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.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $modelDisplayName = '[DISPLAY_NAME]';

    update_model_sample($modelDisplayName);
}

uploadModel

Uploads a Model artifact into Vertex AI.

The async variant is Google\Cloud\AIPlatform\V1\Client\ModelServiceClient::uploadModelAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\UploadModelRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\OperationResponse`

Example

use Google\ApiCore\ApiException;
use Google\ApiCore\OperationResponse;
use Google\Cloud\AIPlatform\V1\Client\ModelServiceClient;
use Google\Cloud\AIPlatform\V1\Model;
use Google\Cloud\AIPlatform\V1\UploadModelRequest;
use Google\Cloud\AIPlatform\V1\UploadModelResponse;
use Google\Rpc\Status;

/**
 * @param string $formattedParent  The resource name of the Location into which to upload the Model.
 *                                 Format: `projects/{project}/locations/{location}`
 *                                 Please see {@see ModelServiceClient::locationName()} for help formatting this field.
 * @param string $modelDisplayName The display name of the Model.
 *                                 The name can be up to 128 characters long and can consist of any UTF-8
 *                                 characters.
 */
function upload_model_sample(string $formattedParent, string $modelDisplayName): void
{
    // Create a client.
    $modelServiceClient = new ModelServiceClient();

    // Prepare the request message.
    $model = (new Model())
        ->setDisplayName($modelDisplayName);
    $request = (new UploadModelRequest())
        ->setParent($formattedParent)
        ->setModel($model);

    // Call the API and handle any network failures.
    try {
        /** @var OperationResponse $response */
        $response = $modelServiceClient->uploadModel($request);
        $response->pollUntilComplete();

        if ($response->operationSucceeded()) {
            /** @var UploadModelResponse $result */
            $result = $response->getResult();
            printf('Operation successful with response data: %s' . PHP_EOL, $result->serializeToJsonString());
        } else {
            /** @var Status $error */
            $error = $response->getError();
            printf('Operation failed with error data: %s' . PHP_EOL, $error->serializeToJsonString());
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample 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.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedParent = ModelServiceClient::locationName('[PROJECT]', '[LOCATION]');
    $modelDisplayName = '[DISPLAY_NAME]';

    upload_model_sample($formattedParent, $modelDisplayName);
}

getLocation

Gets information about a location.

The async variant is Google\Cloud\AIPlatform\V1\Client\ModelServiceClient::getLocationAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\Location\GetLocationRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\Location\Location`

Example

use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\ModelServiceClient;
use Google\Cloud\Location\GetLocationRequest;
use Google\Cloud\Location\Location;

/**
 * This sample 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.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function get_location_sample(): void
{
    // Create a client.
    $modelServiceClient = new ModelServiceClient();

    // Prepare the request message.
    $request = new GetLocationRequest();

    // Call the API and handle any network failures.
    try {
        /** @var Location $response */
        $response = $modelServiceClient->getLocation($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

listLocations

Lists information about the supported locations for this service.

The async variant is Google\Cloud\AIPlatform\V1\Client\ModelServiceClient::listLocationsAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\Location\ListLocationsRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\PagedListResponse`

Example

use Google\ApiCore\ApiException;
use Google\ApiCore\PagedListResponse;
use Google\Cloud\AIPlatform\V1\Client\ModelServiceClient;
use Google\Cloud\Location\ListLocationsRequest;
use Google\Cloud\Location\Location;

/**
 * This sample 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.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function list_locations_sample(): void
{
    // Create a client.
    $modelServiceClient = new ModelServiceClient();

    // Prepare the request message.
    $request = new ListLocationsRequest();

    // Call the API and handle any network failures.
    try {
        /** @var PagedListResponse $response */
        $response = $modelServiceClient->listLocations($request);

        /** @var Location $element */
        foreach ($response as $element) {
            printf('Element data: %s' . PHP_EOL, $element->serializeToJsonString());
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

getIamPolicy

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

The async variant is Google\Cloud\AIPlatform\V1\Client\ModelServiceClient::getIamPolicyAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\Iam\V1\GetIamPolicyRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\Iam\V1\Policy`

Example

use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\ModelServiceClient;
use Google\Cloud\Iam\V1\GetIamPolicyRequest;
use Google\Cloud\Iam\V1\Policy;

/**
 * @param string $resource REQUIRED: The resource for which the policy is being requested.
 *                         See the operation documentation for the appropriate value for this field.
 */
function get_iam_policy_sample(string $resource): void
{
    // Create a client.
    $modelServiceClient = new ModelServiceClient();

    // Prepare the request message.
    $request = (new GetIamPolicyRequest())
        ->setResource($resource);

    // Call the API and handle any network failures.
    try {
        /** @var Policy $response */
        $response = $modelServiceClient->getIamPolicy($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample 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.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $resource = '[RESOURCE]';

    get_iam_policy_sample($resource);
}

setIamPolicy

Sets the access control policy on the specified resource. Replaces any existing policy.

Can return NOT_FOUND, INVALID_ARGUMENT, and PERMISSION_DENIED errors.

The async variant is Google\Cloud\AIPlatform\V1\Client\ModelServiceClient::setIamPolicyAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\Iam\V1\SetIamPolicyRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\Iam\V1\Policy`

Example

use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\ModelServiceClient;
use Google\Cloud\Iam\V1\Policy;
use Google\Cloud\Iam\V1\SetIamPolicyRequest;

/**
 * @param string $resource REQUIRED: The resource for which the policy is being specified.
 *                         See the operation documentation for the appropriate value for this field.
 */
function set_iam_policy_sample(string $resource): void
{
    // Create a client.
    $modelServiceClient = new ModelServiceClient();

    // Prepare the request message.
    $policy = new Policy();
    $request = (new SetIamPolicyRequest())
        ->setResource($resource)
        ->setPolicy($policy);

    // Call the API and handle any network failures.
    try {
        /** @var Policy $response */
        $response = $modelServiceClient->setIamPolicy($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample 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.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $resource = '[RESOURCE]';

    set_iam_policy_sample($resource);
}

testIamPermissions

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.

The async variant is Google\Cloud\AIPlatform\V1\Client\ModelServiceClient::testIamPermissionsAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\Iam\V1\TestIamPermissionsRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\Iam\V1\TestIamPermissionsResponse`

Example

use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\ModelServiceClient;
use Google\Cloud\Iam\V1\TestIamPermissionsRequest;
use Google\Cloud\Iam\V1\TestIamPermissionsResponse;

/**
 * @param string $resource           REQUIRED: The resource for which the policy detail is being requested.
 *                                   See the operation documentation for the appropriate value for this field.
 * @param string $permissionsElement The set of permissions to check for the `resource`. Permissions with
 *                                   wildcards (such as '*' or 'storage.*') are not allowed. For more
 *                                   information see
 *                                   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
 */
function test_iam_permissions_sample(string $resource, string $permissionsElement): void
{
    // Create a client.
    $modelServiceClient = new ModelServiceClient();

    // Prepare the request message.
    $permissions = [$permissionsElement,];
    $request = (new TestIamPermissionsRequest())
        ->setResource($resource)
        ->setPermissions($permissions);

    // Call the API and handle any network failures.
    try {
        /** @var TestIamPermissionsResponse $response */
        $response = $modelServiceClient->testIamPermissions($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample 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.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $resource = '[RESOURCE]';
    $permissionsElement = '[PERMISSIONS]';

    test_iam_permissions_sample($resource, $permissionsElement);
}

batchImportEvaluatedAnnotationsAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\BatchImportEvaluatedAnnotationsRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

batchImportModelEvaluationSlicesAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\BatchImportModelEvaluationSlicesRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

copyModelAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\CopyModelRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

deleteModelAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\DeleteModelRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

deleteModelVersionAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\DeleteModelVersionRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

exportModelAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\ExportModelRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

getModelAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\GetModelRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

getModelEvaluationAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\GetModelEvaluationRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

getModelEvaluationSliceAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\GetModelEvaluationSliceRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

importModelEvaluationAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\ImportModelEvaluationRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

listModelEvaluationSlicesAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\ListModelEvaluationSlicesRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

listModelEvaluationsAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\ListModelEvaluationsRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

listModelVersionsAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\ListModelVersionsRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

listModelsAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\ListModelsRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

mergeVersionAliasesAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\MergeVersionAliasesRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

updateExplanationDatasetAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\UpdateExplanationDatasetRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

updateModelAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\UpdateModelRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

uploadModelAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\UploadModelRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

getLocationAsync

Parameters
Name	Description
`request`	`Google\Cloud\Location\GetLocationRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

listLocationsAsync

Parameters
Name	Description
`request`	`Google\Cloud\Location\ListLocationsRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

getIamPolicyAsync

Parameters
Name	Description
`request`	`Google\Cloud\Iam\V1\GetIamPolicyRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

setIamPolicyAsync

Parameters
Name	Description
`request`	`Google\Cloud\Iam\V1\SetIamPolicyRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

testIamPermissionsAsync

Parameters
Name	Description
`request`	`Google\Cloud\Iam\V1\TestIamPermissionsRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

getOperationsClient

Return an OperationsClient object with the same endpoint as $this.

Returns
Type	Description
`Google\ApiCore\LongRunning\OperationsClient`

resumeOperation

Resume an existing long running operation that was previously started by a long running API method. If $methodName is not provided, or does not match a long running API method, then the operation can still be resumed, but the OperationResponse object will not deserialize the final response.

Parameters
Name	Description
`operationName`	`string` The name of the long running operation
`methodName`	`string` The name of the method used to start the operation

Returns
Type	Description
`Google\ApiCore\OperationResponse`

static::endpointName

Formats a string containing the fully-qualified path to represent a endpoint resource.

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

Returns
Type	Description
`string`	The formatted endpoint resource.

static::locationName

Formats a string containing the fully-qualified path to represent a location resource.

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

Returns
Type	Description
`string`	The formatted location resource.

static::modelName

Formats a string containing the fully-qualified path to represent a model resource.

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

Returns
Type	Description
`string`	The formatted model resource.

static::modelEvaluationName

Formats a string containing the fully-qualified path to represent a model_evaluation resource.

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

Returns
Type	Description
`string`	The formatted model_evaluation resource.

static::modelEvaluationSliceName

Formats a string containing the fully-qualified path to represent a model_evaluation_slice resource.

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

Returns
Type	Description
`string`	The formatted model_evaluation_slice resource.

static::pipelineJobName

Formats a string containing the fully-qualified path to represent a pipeline_job resource.

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

Returns
Type	Description
`string`	The formatted pipeline_job resource.

static::projectLocationEndpointName

Formats a string containing the fully-qualified path to represent a project_location_endpoint resource.

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

Returns
Type	Description
`string`	The formatted project_location_endpoint resource.

static::projectLocationPublisherModelName

Formats a string containing the fully-qualified path to represent a project_location_publisher_model resource.

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

Returns
Type	Description
`string`	The formatted project_location_publisher_model resource.

static::trainingPipelineName

Formats a string containing the fully-qualified path to represent a training_pipeline resource.

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

Returns
Type	Description
`string`	The formatted training_pipeline resource.

static::parseName

Parses a formatted name string and returns an associative array of the components in the name.

The following name formats are supported: Template: Pattern

endpoint: projects/{project}/locations/{location}/endpoints/{endpoint}
location: projects/{project}/locations/{location}
model: projects/{project}/locations/{location}/models/{model}
modelEvaluation: projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}
modelEvaluationSlice: projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}
pipelineJob: projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}
projectLocationEndpoint: projects/{project}/locations/{location}/endpoints/{endpoint}
projectLocationPublisherModel: projects/{project}/locations/{location}/publishers/{publisher}/models/{model}
trainingPipeline: projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}

The optional $template argument can be supplied to specify a particular pattern, and must match one of the templates listed above. If no $template argument is provided, or if the $template argument does not match one of the templates listed, then parseName will check each of the supported templates, and return the first match.

Parameters
Name	Description
`formattedName`	`string` The formatted name string
`template`	`string` Optional name of template to match

Returns
Type	Description
`array`	An associative array from name component IDs to component values.