<?php
/*
 * Copyright 2019 Google LLC
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     https://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

/*
 * GENERATED CODE WARNING
 * Generated by gapic-generator-php from the file
 * https://github.com/googleapis/googleapis/blob/master/google/cloud/automl/v1beta1/service.proto
 * Updates to the above are reflected here through a refresh process.
 *
 * @experimental
 */

namespace Google\Cloud\AutoMl\V1beta1\Gapic;

use Google\ApiCore\ApiException;
use Google\ApiCore\CredentialsWrapper;
use Google\ApiCore\GapicClientTrait;
use Google\ApiCore\LongRunning\OperationsClient;
use Google\ApiCore\OperationResponse;
use Google\ApiCore\PathTemplate;
use Google\ApiCore\RequestParamsHeaderDescriptor;
use Google\ApiCore\RetrySettings;
use Google\ApiCore\Transport\TransportInterface;
use Google\ApiCore\ValidationException;
use Google\Auth\FetchAuthTokenInterface;
use Google\Cloud\AutoMl\V1beta1\AnnotationSpec;
use Google\Cloud\AutoMl\V1beta1\ColumnSpec;
use Google\Cloud\AutoMl\V1beta1\CreateDatasetRequest;
use Google\Cloud\AutoMl\V1beta1\CreateModelRequest;
use Google\Cloud\AutoMl\V1beta1\Dataset;
use Google\Cloud\AutoMl\V1beta1\DeleteDatasetRequest;
use Google\Cloud\AutoMl\V1beta1\DeleteModelRequest;
use Google\Cloud\AutoMl\V1beta1\DeployModelRequest;
use Google\Cloud\AutoMl\V1beta1\ExportDataRequest;
use Google\Cloud\AutoMl\V1beta1\ExportEvaluatedExamplesOutputConfig;
use Google\Cloud\AutoMl\V1beta1\ExportEvaluatedExamplesRequest;
use Google\Cloud\AutoMl\V1beta1\ExportModelRequest;
use Google\Cloud\AutoMl\V1beta1\GetAnnotationSpecRequest;
use Google\Cloud\AutoMl\V1beta1\GetColumnSpecRequest;
use Google\Cloud\AutoMl\V1beta1\GetDatasetRequest;
use Google\Cloud\AutoMl\V1beta1\GetModelEvaluationRequest;
use Google\Cloud\AutoMl\V1beta1\GetModelRequest;
use Google\Cloud\AutoMl\V1beta1\GetTableSpecRequest;
use Google\Cloud\AutoMl\V1beta1\ImageClassificationModelDeploymentMetadata;
use Google\Cloud\AutoMl\V1beta1\ImageObjectDetectionModelDeploymentMetadata;
use Google\Cloud\AutoMl\V1beta1\ImportDataRequest;
use Google\Cloud\AutoMl\V1beta1\InputConfig;
use Google\Cloud\AutoMl\V1beta1\ListColumnSpecsRequest;
use Google\Cloud\AutoMl\V1beta1\ListColumnSpecsResponse;
use Google\Cloud\AutoMl\V1beta1\ListDatasetsRequest;
use Google\Cloud\AutoMl\V1beta1\ListDatasetsResponse;
use Google\Cloud\AutoMl\V1beta1\ListModelEvaluationsRequest;
use Google\Cloud\AutoMl\V1beta1\ListModelEvaluationsResponse;
use Google\Cloud\AutoMl\V1beta1\ListModelsRequest;
use Google\Cloud\AutoMl\V1beta1\ListModelsResponse;
use Google\Cloud\AutoMl\V1beta1\ListTableSpecsRequest;
use Google\Cloud\AutoMl\V1beta1\ListTableSpecsResponse;
use Google\Cloud\AutoMl\V1beta1\Model;
use Google\Cloud\AutoMl\V1beta1\ModelEvaluation;
use Google\Cloud\AutoMl\V1beta1\ModelExportOutputConfig;
use Google\Cloud\AutoMl\V1beta1\OutputConfig;
use Google\Cloud\AutoMl\V1beta1\TableSpec;
use Google\Cloud\AutoMl\V1beta1\UndeployModelRequest;
use Google\Cloud\AutoMl\V1beta1\UpdateColumnSpecRequest;
use Google\Cloud\AutoMl\V1beta1\UpdateDatasetRequest;
use Google\Cloud\AutoMl\V1beta1\UpdateTableSpecRequest;
use Google\LongRunning\Operation;
use Google\Protobuf\FieldMask;

/**
 * Service Description: AutoML Server API.
 *
 * The resource names are assigned by the server.
 * The server never reuses names that it has created after the resources with
 * those names are deleted.
 *
 * An ID of a resource is the last element of the item's resource name. For
 * `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`, then
 * the id for the item is `{dataset_id}`.
 *
 * Currently the only supported `location_id` is "us-central1".
 *
 * On any input that is documented to expect a string parameter in
 * snake_case or kebab-case, either of those cases is accepted.
 *
 * This class provides the ability to make remote calls to the backing service through method
 * calls that map to API methods. Sample code to get started:
 *
 * ```
 * $autoMlClient = new Google\Cloud\AutoMl\V1beta1\AutoMlClient();
 * try {
 *     $formattedParent = $autoMlClient->locationName('[PROJECT]', '[LOCATION]');
 *     $dataset = new Google\Cloud\AutoMl\V1beta1\Dataset();
 *     $response = $autoMlClient->createDataset($formattedParent, $dataset);
 * } finally {
 *     $autoMlClient->close();
 * }
 * ```
 *
 * 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.
 *
 * @experimental
 */
class AutoMlGapicClient
{
    use GapicClientTrait;

    /** The name of the service. */
    const SERVICE_NAME = 'google.cloud.automl.v1beta1.AutoMl';

    /** The default address of the service. */
    const SERVICE_ADDRESS = 'automl.googleapis.com';

    /** The default port of the service. */
    const DEFAULT_SERVICE_PORT = 443;

    /** The name of the code generator, to be included in the agent header. */
    const CODEGEN_NAME = 'gapic';

    /** The default scopes required by the service. */
    public static $serviceScopes = [
        'https://www.googleapis.com/auth/cloud-platform',
    ];

    private static $annotationSpecNameTemplate;

    private static $columnSpecNameTemplate;

    private static $datasetNameTemplate;

    private static $locationNameTemplate;

    private static $modelNameTemplate;

    private static $modelEvaluationNameTemplate;

    private static $tableSpecNameTemplate;

    private static $pathTemplateMap;

    private $operationsClient;

    private static function getClientDefaults()
    {
        return [
            'serviceName' => self::SERVICE_NAME,
            'apiEndpoint' =>
                self::SERVICE_ADDRESS . ':' . self::DEFAULT_SERVICE_PORT,
            'clientConfig' =>
                __DIR__ . '/../resources/auto_ml_client_config.json',
            'descriptorsConfigPath' =>
                __DIR__ . '/../resources/auto_ml_descriptor_config.php',
            'gcpApiConfigPath' =>
                __DIR__ . '/../resources/auto_ml_grpc_config.json',
            'credentialsConfig' => [
                'defaultScopes' => self::$serviceScopes,
            ],
            'transportConfig' => [
                'rest' => [
                    'restClientConfigPath' =>
                        __DIR__ .
                        '/../resources/auto_ml_rest_client_config.php',
                ],
            ],
        ];
    }

    private static function getAnnotationSpecNameTemplate()
    {
        if (self::$annotationSpecNameTemplate == null) {
            self::$annotationSpecNameTemplate = new PathTemplate(
                'projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}'
            );
        }

        return self::$annotationSpecNameTemplate;
    }

    private static function getColumnSpecNameTemplate()
    {
        if (self::$columnSpecNameTemplate == null) {
            self::$columnSpecNameTemplate = new PathTemplate(
                'projects/{project}/locations/{location}/datasets/{dataset}/tableSpecs/{table_spec}/columnSpecs/{column_spec}'
            );
        }

        return self::$columnSpecNameTemplate;
    }

    private static function getDatasetNameTemplate()
    {
        if (self::$datasetNameTemplate == null) {
            self::$datasetNameTemplate = new PathTemplate(
                'projects/{project}/locations/{location}/datasets/{dataset}'
            );
        }

        return self::$datasetNameTemplate;
    }

    private static function getLocationNameTemplate()
    {
        if (self::$locationNameTemplate == null) {
            self::$locationNameTemplate = new PathTemplate(
                'projects/{project}/locations/{location}'
            );
        }

        return self::$locationNameTemplate;
    }

    private static function getModelNameTemplate()
    {
        if (self::$modelNameTemplate == null) {
            self::$modelNameTemplate = new PathTemplate(
                'projects/{project}/locations/{location}/models/{model}'
            );
        }

        return self::$modelNameTemplate;
    }

    private static function getModelEvaluationNameTemplate()
    {
        if (self::$modelEvaluationNameTemplate == null) {
            self::$modelEvaluationNameTemplate = new PathTemplate(
                'projects/{project}/locations/{location}/models/{model}/modelEvaluations/{model_evaluation}'
            );
        }

        return self::$modelEvaluationNameTemplate;
    }

    private static function getTableSpecNameTemplate()
    {
        if (self::$tableSpecNameTemplate == null) {
            self::$tableSpecNameTemplate = new PathTemplate(
                'projects/{project}/locations/{location}/datasets/{dataset}/tableSpecs/{table_spec}'
            );
        }

        return self::$tableSpecNameTemplate;
    }

    private static function getPathTemplateMap()
    {
        if (self::$pathTemplateMap == null) {
            self::$pathTemplateMap = [
                'annotationSpec' => self::getAnnotationSpecNameTemplate(),
                'columnSpec' => self::getColumnSpecNameTemplate(),
                'dataset' => self::getDatasetNameTemplate(),
                'location' => self::getLocationNameTemplate(),
                'model' => self::getModelNameTemplate(),
                'modelEvaluation' => self::getModelEvaluationNameTemplate(),
                'tableSpec' => self::getTableSpecNameTemplate(),
            ];
        }

        return self::$pathTemplateMap;
    }

    /**
     * Formats a string containing the fully-qualified path to represent a
     * annotation_spec resource.
     *
     * @param string $project
     * @param string $location
     * @param string $dataset
     * @param string $annotationSpec
     *
     * @return string The formatted annotation_spec resource.
     *
     * @experimental
     */
    public static function annotationSpecName(
        $project,
        $location,
        $dataset,
        $annotationSpec
    ) {
        return self::getAnnotationSpecNameTemplate()->render([
            'project' => $project,
            'location' => $location,
            'dataset' => $dataset,
            'annotation_spec' => $annotationSpec,
        ]);
    }

    /**
     * Formats a string containing the fully-qualified path to represent a column_spec
     * resource.
     *
     * @param string $project
     * @param string $location
     * @param string $dataset
     * @param string $tableSpec
     * @param string $columnSpec
     *
     * @return string The formatted column_spec resource.
     *
     * @experimental
     */
    public static function columnSpecName(
        $project,
        $location,
        $dataset,
        $tableSpec,
        $columnSpec
    ) {
        return self::getColumnSpecNameTemplate()->render([
            'project' => $project,
            'location' => $location,
            'dataset' => $dataset,
            'table_spec' => $tableSpec,
            'column_spec' => $columnSpec,
        ]);
    }

    /**
     * Formats a string containing the fully-qualified path to represent a dataset
     * resource.
     *
     * @param string $project
     * @param string $location
     * @param string $dataset
     *
     * @return string The formatted dataset resource.
     *
     * @experimental
     */
    public static function datasetName($project, $location, $dataset)
    {
        return self::getDatasetNameTemplate()->render([
            'project' => $project,
            'location' => $location,
            'dataset' => $dataset,
        ]);
    }

    /**
     * Formats a string containing the fully-qualified path to represent a location
     * resource.
     *
     * @param string $project
     * @param string $location
     *
     * @return string The formatted location resource.
     *
     * @experimental
     */
    public static function locationName($project, $location)
    {
        return self::getLocationNameTemplate()->render([
            'project' => $project,
            'location' => $location,
        ]);
    }

    /**
     * Formats a string containing the fully-qualified path to represent a model
     * resource.
     *
     * @param string $project
     * @param string $location
     * @param string $model
     *
     * @return string The formatted model resource.
     *
     * @experimental
     */
    public static function modelName($project, $location, $model)
    {
        return self::getModelNameTemplate()->render([
            'project' => $project,
            'location' => $location,
            'model' => $model,
        ]);
    }

    /**
     * Formats a string containing the fully-qualified path to represent a
     * model_evaluation resource.
     *
     * @param string $project
     * @param string $location
     * @param string $model
     * @param string $modelEvaluation
     *
     * @return string The formatted model_evaluation resource.
     *
     * @experimental
     */
    public static function modelEvaluationName(
        $project,
        $location,
        $model,
        $modelEvaluation
    ) {
        return self::getModelEvaluationNameTemplate()->render([
            'project' => $project,
            'location' => $location,
            'model' => $model,
            'model_evaluation' => $modelEvaluation,
        ]);
    }

    /**
     * Formats a string containing the fully-qualified path to represent a table_spec
     * resource.
     *
     * @param string $project
     * @param string $location
     * @param string $dataset
     * @param string $tableSpec
     *
     * @return string The formatted table_spec resource.
     *
     * @experimental
     */
    public static function tableSpecName(
        $project,
        $location,
        $dataset,
        $tableSpec
    ) {
        return self::getTableSpecNameTemplate()->render([
            'project' => $project,
            'location' => $location,
            'dataset' => $dataset,
            'table_spec' => $tableSpec,
        ]);
    }

    /**
     * Parses a formatted name string and returns an associative array of the components in the name.
     * The following name formats are supported:
     * Template: Pattern
     * - annotationSpec: projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}
     * - columnSpec: projects/{project}/locations/{location}/datasets/{dataset}/tableSpecs/{table_spec}/columnSpecs/{column_spec}
     * - dataset: projects/{project}/locations/{location}/datasets/{dataset}
     * - location: projects/{project}/locations/{location}
     * - model: projects/{project}/locations/{location}/models/{model}
     * - modelEvaluation: projects/{project}/locations/{location}/models/{model}/modelEvaluations/{model_evaluation}
     * - tableSpec: projects/{project}/locations/{location}/datasets/{dataset}/tableSpecs/{table_spec}
     *
     * 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.
     *
     * @param string $formattedName The formatted name string
     * @param string $template      Optional name of template to match
     *
     * @return array An associative array from name component IDs to component values.
     *
     * @throws ValidationException If $formattedName could not be matched.
     *
     * @experimental
     */
    public static function parseName($formattedName, $template = null)
    {
        $templateMap = self::getPathTemplateMap();
        if ($template) {
            if (!isset($templateMap[$template])) {
                throw new ValidationException(
                    "Template name $template does not exist"
                );
            }

            return $templateMap[$template]->match($formattedName);
        }

        foreach ($templateMap as $templateName => $pathTemplate) {
            try {
                return $pathTemplate->match($formattedName);
            } catch (ValidationException $ex) {
                // Swallow the exception to continue trying other path templates
            }
        }

        throw new ValidationException(
            "Input did not match any known format. Input: $formattedName"
        );
    }

    /**
     * Return an OperationsClient object with the same endpoint as $this.
     *
     * @return OperationsClient
     *
     * @experimental
     */
    public function getOperationsClient()
    {
        return $this->operationsClient;
    }

    /**
     * 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.
     *
     * @param string $operationName The name of the long running operation
     * @param string $methodName    The name of the method used to start the operation
     *
     * @return OperationResponse
     *
     * @experimental
     */
    public function resumeOperation($operationName, $methodName = null)
    {
        $options = isset($this->descriptors[$methodName]['longRunning'])
            ? $this->descriptors[$methodName]['longRunning']
            : [];
        $operation = new OperationResponse(
            $operationName,
            $this->getOperationsClient(),
            $options
        );
        $operation->reload();
        return $operation;
    }

    /**
     * Constructor.
     *
     * @param array $options {
     *     Optional. Options for configuring the service API wrapper.
     *
     *     @type string $apiEndpoint
     *           The address of the API remote host. May optionally include the port, formatted
     *           as "<uri>:<port>". Default 'automl.googleapis.com:443'.
     *     @type string|array|FetchAuthTokenInterface|CredentialsWrapper $credentials
     *           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
     *           {@see \Google\Auth\FetchAuthTokenInterface} object or
     *           {@see \Google\ApiCore\CredentialsWrapper} object. Note that when one of these
     *           objects are provided, any settings in $credentialsConfig will be ignored.
     *     @type array $credentialsConfig
     *           Options used to configure credentials, including auth token caching, for the
     *           client. For a full list of supporting configuration options, see
     *           {@see \Google\ApiCore\CredentialsWrapper::build()} .
     *     @type bool $disableRetries
     *           Determines whether or not retries defined by the client configuration should be
     *           disabled. Defaults to `false`.
     *     @type string|array $clientConfig
     *           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.
     *     @type string|TransportInterface $transport
     *           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 {@see \Google\ApiCore\Transport\TransportInterface} object. Note
     *           that when this object is provided, any settings in $transportConfig, and any
     *           $apiEndpoint setting, will be ignored.
     *     @type array $transportConfig
     *           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 {@see \Google\ApiCore\Transport\GrpcTransport::build()} and
     *           {@see \Google\ApiCore\Transport\RestTransport::build()} methods for the
     *           supported options.
     *     @type callable $clientCertSource
     *           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.
     * }
     *
     * @throws ValidationException
     *
     * @experimental
     */
    public function __construct(array $options = [])
    {
        $clientOptions = $this->buildClientOptions($options);
        $this->setClientOptions($clientOptions);
        $this->operationsClient = $this->createOperationsClient($clientOptions);
    }

    /**
     * Creates a dataset.
     *
     * Sample code:
     * ```
     * $autoMlClient = new Google\Cloud\AutoMl\V1beta1\AutoMlClient();
     * try {
     *     $formattedParent = $autoMlClient->locationName('[PROJECT]', '[LOCATION]');
     *     $dataset = new Google\Cloud\AutoMl\V1beta1\Dataset();
     *     $response = $autoMlClient->createDataset($formattedParent, $dataset);
     * } finally {
     *     $autoMlClient->close();
     * }
     * ```
     *
     * @param string  $parent       Required. The resource name of the project to create the dataset for.
     * @param Dataset $dataset      Required. The dataset to create.
     * @param array   $optionalArgs {
     *     Optional.
     *
     *     @type RetrySettings|array $retrySettings
     *           Retry settings to use for this call. Can be a {@see RetrySettings} object, or an
     *           associative array of retry settings parameters. See the documentation on
     *           {@see RetrySettings} for example usage.
     * }
     *
     * @return \Google\Cloud\AutoMl\V1beta1\Dataset
     *
     * @throws ApiException if the remote call fails
     *
     * @experimental
     */
    public function createDataset($parent, $dataset, array $optionalArgs = [])
    {
        $request = new CreateDatasetRequest();
        $requestParamHeaders = [];
        $request->setParent($parent);
        $request->setDataset($dataset);
        $requestParamHeaders['parent'] = $parent;
        $requestParams = new RequestParamsHeaderDescriptor(
            $requestParamHeaders
        );
        $optionalArgs['headers'] = isset($optionalArgs['headers'])
            ? array_merge($requestParams->getHeader(), $optionalArgs['headers'])
            : $requestParams->getHeader();
        return $this->startCall(
            'CreateDataset',
            Dataset::class,
            $optionalArgs,
            $request
        )->wait();
    }

    /**
     * Creates a model.
     * Returns a Model in the [response][google.longrunning.Operation.response]
     * field when it completes.
     * When you create a model, several model evaluations are created for it:
     * a global evaluation, and one evaluation for each annotation spec.
     *
     * Sample code:
     * ```
     * $autoMlClient = new Google\Cloud\AutoMl\V1beta1\AutoMlClient();
     * try {
     *     $formattedParent = $autoMlClient->locationName('[PROJECT]', '[LOCATION]');
     *     $model = new Model();
     *     $operationResponse = $autoMlClient->createModel($formattedParent, $model);
     *     $operationResponse->pollUntilComplete();
     *     if ($operationResponse->operationSucceeded()) {
     *         $result = $operationResponse->getResult();
     *     // doSomethingWith($result)
     *     } else {
     *         $error = $operationResponse->getError();
     *         // handleError($error)
     *     }
     *     // Alternatively:
     *     // start the operation, keep the operation name, and resume later
     *     $operationResponse = $autoMlClient->createModel($formattedParent, $model);
     *     $operationName = $operationResponse->getName();
     *     // ... do other work
     *     $newOperationResponse = $autoMlClient->resumeOperation($operationName, 'createModel');
     *     while (!$newOperationResponse->isDone()) {
     *         // ... do other work
     *         $newOperationResponse->reload();
     *     }
     *     if ($newOperationResponse->operationSucceeded()) {
     *         $result = $newOperationResponse->getResult();
     *     // doSomethingWith($result)
     *     } else {
     *         $error = $newOperationResponse->getError();
     *         // handleError($error)
     *     }
     * } finally {
     *     $autoMlClient->close();
     * }
     * ```
     *
     * @param string $parent       Required. Resource name of the parent project where the model is being created.
     * @param Model  $model        Required. The model to create.
     * @param array  $optionalArgs {
     *     Optional.
     *
     *     @type RetrySettings|array $retrySettings
     *           Retry settings to use for this call. Can be a {@see RetrySettings} object, or an
     *           associative array of retry settings parameters. See the documentation on
     *           {@see RetrySettings} for example usage.
     * }
     *
     * @return \Google\ApiCore\OperationResponse
     *
     * @throws ApiException if the remote call fails
     *
     * @experimental
     */
    public function createModel($parent, $model, array $optionalArgs = [])
    {
        $request = new CreateModelRequest();
        $requestParamHeaders = [];
        $request->setParent($parent);
        $request->setModel($model);
        $requestParamHeaders['parent'] = $parent;
        $requestParams = new RequestParamsHeaderDescriptor(
            $requestParamHeaders
        );
        $optionalArgs['headers'] = isset($optionalArgs['headers'])
            ? array_merge($requestParams->getHeader(), $optionalArgs['headers'])
            : $requestParams->getHeader();
        return $this->startOperationsCall(
            'CreateModel',
            $optionalArgs,
            $request,
            $this->getOperationsClient()
        )->wait();
    }

    /**
     * Deletes a dataset and all of its contents.
     * Returns empty response in the
     * [response][google.longrunning.Operation.response] field when it completes,
     * and `delete_details` in the
     * [metadata][google.longrunning.Operation.metadata] field.
     *
     * Sample code:
     * ```
     * $autoMlClient = new Google\Cloud\AutoMl\V1beta1\AutoMlClient();
     * try {
     *     $formattedName = $autoMlClient->datasetName('[PROJECT]', '[LOCATION]', '[DATASET]');
     *     $operationResponse = $autoMlClient->deleteDataset($formattedName);
     *     $operationResponse->pollUntilComplete();
     *     if ($operationResponse->operationSucceeded()) {
     *         // operation succeeded and returns no value
     *     } else {
     *         $error = $operationResponse->getError();
     *         // handleError($error)
     *     }
     *     // Alternatively:
     *     // start the operation, keep the operation name, and resume later
     *     $operationResponse = $autoMlClient->deleteDataset($formattedName);
     *     $operationName = $operationResponse->getName();
     *     // ... do other work
     *     $newOperationResponse = $autoMlClient->resumeOperation($operationName, 'deleteDataset');
     *     while (!$newOperationResponse->isDone()) {
     *         // ... do other work
     *         $newOperationResponse->reload();
     *     }
     *     if ($newOperationResponse->operationSucceeded()) {
     *         // operation succeeded and returns no value
     *     } else {
     *         $error = $newOperationResponse->getError();
     *         // handleError($error)
     *     }
     * } finally {
     *     $autoMlClient->close();
     * }
     * ```
     *
     * @param string $name         Required. The resource name of the dataset to delete.
     * @param array  $optionalArgs {
     *     Optional.
     *
     *     @type RetrySettings|array $retrySettings
     *           Retry settings to use for this call. Can be a {@see RetrySettings} object, or an
     *           associative array of retry settings parameters. See the documentation on
     *           {@see RetrySettings} for example usage.
     * }
     *
     * @return \Google\ApiCore\OperationResponse
     *
     * @throws ApiException if the remote call fails
     *
     * @experimental
     */
    public function deleteDataset($name, array $optionalArgs = [])
    {
        $request = new DeleteDatasetRequest();
        $requestParamHeaders = [];
        $request->setName($name);
        $requestParamHeaders['name'] = $name;
        $requestParams = new RequestParamsHeaderDescriptor(
            $requestParamHeaders
        );
        $optionalArgs['headers'] = isset($optionalArgs['headers'])
            ? array_merge($requestParams->getHeader(), $optionalArgs['headers'])
            : $requestParams->getHeader();
        return $this->startOperationsCall(
            'DeleteDataset',
            $optionalArgs,
            $request,
            $this->getOperationsClient()
        )->wait();
    }

    /**
     * Deletes a model.
     * Returns `google.protobuf.Empty` in the
     * [response][google.longrunning.Operation.response] field when it completes,
     * and `delete_details` in the
     * [metadata][google.longrunning.Operation.metadata] field.
     *
     * Sample code:
     * ```
     * $autoMlClient = new Google\Cloud\AutoMl\V1beta1\AutoMlClient();
     * try {
     *     $formattedName = $autoMlClient->modelName('[PROJECT]', '[LOCATION]', '[MODEL]');
     *     $operationResponse = $autoMlClient->deleteModel($formattedName);
     *     $operationResponse->pollUntilComplete();
     *     if ($operationResponse->operationSucceeded()) {
     *         // operation succeeded and returns no value
     *     } else {
     *         $error = $operationResponse->getError();
     *         // handleError($error)
     *     }
     *     // Alternatively:
     *     // start the operation, keep the operation name, and resume later
     *     $operationResponse = $autoMlClient->deleteModel($formattedName);
     *     $operationName = $operationResponse->getName();
     *     // ... do other work
     *     $newOperationResponse = $autoMlClient->resumeOperation($operationName, 'deleteModel');
     *     while (!$newOperationResponse->isDone()) {
     *         // ... do other work
     *         $newOperationResponse->reload();
     *     }
     *     if ($newOperationResponse->operationSucceeded()) {
     *         // operation succeeded and returns no value
     *     } else {
     *         $error = $newOperationResponse->getError();
     *         // handleError($error)
     *     }
     * } finally {
     *     $autoMlClient->close();
     * }
     * ```
     *
     * @param string $name         Required. Resource name of the model being deleted.
     * @param array  $optionalArgs {
     *     Optional.
     *
     *     @type RetrySettings|array $retrySettings
     *           Retry settings to use for this call. Can be a {@see RetrySettings} object, or an
     *           associative array of retry settings parameters. See the documentation on
     *           {@see RetrySettings} for example usage.
     * }
     *
     * @return \Google\ApiCore\OperationResponse
     *
     * @throws ApiException if the remote call fails
     *
     * @experimental
     */
    public function deleteModel($name, array $optionalArgs = [])
    {
        $request = new DeleteModelRequest();
        $requestParamHeaders = [];
        $request->setName($name);
        $requestParamHeaders['name'] = $name;
        $requestParams = new RequestParamsHeaderDescriptor(
            $requestParamHeaders
        );
        $optionalArgs['headers'] = isset($optionalArgs['headers'])
            ? array_merge($requestParams->getHeader(), $optionalArgs['headers'])
            : $requestParams->getHeader();
        return $this->startOperationsCall(
            'DeleteModel',
            $optionalArgs,
            $request,
            $this->getOperationsClient()
        )->wait();
    }

    /**
     * Deploys a model. If a model is already deployed, deploying it with the
     * same parameters has no effect. Deploying with different parametrs
     * (as e.g. changing
     *
     * [node_number][google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number])
     * will reset the deployment state without pausing the model's availability.
     *
     * Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage
     * deployment automatically.
     *
     * Returns an empty response in the
     * [response][google.longrunning.Operation.response] field when it completes.
     *
     * Sample code:
     * ```
     * $autoMlClient = new Google\Cloud\AutoMl\V1beta1\AutoMlClient();
     * try {
     *     $formattedName = $autoMlClient->modelName('[PROJECT]', '[LOCATION]', '[MODEL]');
     *     $operationResponse = $autoMlClient->deployModel($formattedName);
     *     $operationResponse->pollUntilComplete();
     *     if ($operationResponse->operationSucceeded()) {
     *         // operation succeeded and returns no value
     *     } else {
     *         $error = $operationResponse->getError();
     *         // handleError($error)
     *     }
     *     // Alternatively:
     *     // start the operation, keep the operation name, and resume later
     *     $operationResponse = $autoMlClient->deployModel($formattedName);
     *     $operationName = $operationResponse->getName();
     *     // ... do other work
     *     $newOperationResponse = $autoMlClient->resumeOperation($operationName, 'deployModel');
     *     while (!$newOperationResponse->isDone()) {
     *         // ... do other work
     *         $newOperationResponse->reload();
     *     }
     *     if ($newOperationResponse->operationSucceeded()) {
     *         // operation succeeded and returns no value
     *     } else {
     *         $error = $newOperationResponse->getError();
     *         // handleError($error)
     *     }
     * } finally {
     *     $autoMlClient->close();
     * }
     * ```
     *
     * @param string $name         Required. Resource name of the model to deploy.
     * @param array  $optionalArgs {
     *     Optional.
     *
     *     @type ImageObjectDetectionModelDeploymentMetadata $imageObjectDetectionModelDeploymentMetadata
     *           Model deployment metadata specific to Image Object Detection.
     *     @type ImageClassificationModelDeploymentMetadata $imageClassificationModelDeploymentMetadata
     *           Model deployment metadata specific to Image Classification.
     *     @type RetrySettings|array $retrySettings
     *           Retry settings to use for this call. Can be a {@see RetrySettings} object, or an
     *           associative array of retry settings parameters. See the documentation on
     *           {@see RetrySettings} for example usage.
     * }
     *
     * @return \Google\ApiCore\OperationResponse
     *
     * @throws ApiException if the remote call fails
     *
     * @experimental
     */
    public function deployModel($name, array $optionalArgs = [])
    {
        $request = new DeployModelRequest();
        $requestParamHeaders = [];
        $request->setName($name);
        $requestParamHeaders['name'] = $name;
        if (
            isset($optionalArgs['imageObjectDetectionModelDeploymentMetadata'])
        ) {
            $request->setImageObjectDetectionModelDeploymentMetadata(
                $optionalArgs['imageObjectDetectionModelDeploymentMetadata']
            );
        }

        if (
            isset($optionalArgs['imageClassificationModelDeploymentMetadata'])
        ) {
            $request->setImageClassificationModelDeploymentMetadata(
                $optionalArgs['imageClassificationModelDeploymentMetadata']
            );
        }

        $requestParams = new RequestParamsHeaderDescriptor(
            $requestParamHeaders
        );
        $optionalArgs['headers'] = isset($optionalArgs['headers'])
            ? array_merge($requestParams->getHeader(), $optionalArgs['headers'])
            : $requestParams->getHeader();
        return $this->startOperationsCall(
            'DeployModel',
            $optionalArgs,
            $request,
            $this->getOperationsClient()
        )->wait();
    }

    /**
     * Exports dataset's data to the provided output location.
     * Returns an empty response in the
     * [response][google.longrunning.Operation.response] field when it completes.
     *
     * Sample code:
     * ```
     * $autoMlClient = new Google\Cloud\AutoMl\V1beta1\AutoMlClient();
     * try {
     *     $formattedName = $autoMlClient->datasetName('[PROJECT]', '[LOCATION]', '[DATASET]');
     *     $outputConfig = new OutputConfig();
     *     $operationResponse = $autoMlClient->exportData($formattedName, $outputConfig);
     *     $operationResponse->pollUntilComplete();
     *     if ($operationResponse->operationSucceeded()) {
     *         // operation succeeded and returns no value
     *     } else {
     *         $error = $operationResponse->getError();
     *         // handleError($error)
     *     }
     *     // Alternatively:
     *     // start the operation, keep the operation name, and resume later
     *     $operationResponse = $autoMlClient->exportData($formattedName, $outputConfig);
     *     $operationName = $operationResponse->getName();
     *     // ... do other work
     *     $newOperationResponse = $autoMlClient->resumeOperation($operationName, 'exportData');
     *     while (!$newOperationResponse->isDone()) {
     *         // ... do other work
     *         $newOperationResponse->reload();
     *     }
     *     if ($newOperationResponse->operationSucceeded()) {
     *         // operation succeeded and returns no value
     *     } else {
     *         $error = $newOperationResponse->getError();
     *         // handleError($error)
     *     }
     * } finally {
     *     $autoMlClient->close();
     * }
     * ```
     *
     * @param string       $name         Required. The resource name of the dataset.
     * @param OutputConfig $outputConfig Required. The desired output location.
     * @param array        $optionalArgs {
     *     Optional.
     *
     *     @type RetrySettings|array $retrySettings
     *           Retry settings to use for this call. Can be a {@see RetrySettings} object, or an
     *           associative array of retry settings parameters. See the documentation on
     *           {@see RetrySettings} for example usage.
     * }
     *
     * @return \Google\ApiCore\OperationResponse
     *
     * @throws ApiException if the remote call fails
     *
     * @experimental
     */
    public function exportData($name, $outputConfig, array $optionalArgs = [])
    {
        $request = new ExportDataRequest();
        $requestParamHeaders = [];
        $request->setName($name);
        $request->setOutputConfig($outputConfig);
        $requestParamHeaders['name'] = $name;
        $requestParams = new RequestParamsHeaderDescriptor(
            $requestParamHeaders
        );
        $optionalArgs['headers'] = isset($optionalArgs['headers'])
            ? array_merge($requestParams->getHeader(), $optionalArgs['headers'])
            : $requestParams->getHeader();
        return $this->startOperationsCall(
            'ExportData',
            $optionalArgs,
            $request,
            $this->getOperationsClient()
        )->wait();
    }

    /**
     * Exports examples on which the model was evaluated (i.e. which were in the
     * TEST set of the dataset the model was created from), together with their
     * ground truth annotations and the annotations created (predicted) by the
     * model.
     * The examples, ground truth and predictions are exported in the state
     * they were at the moment the model was evaluated.
     *
     * This export is available only for 30 days since the model evaluation is
     * created.
     *
     * Currently only available for Tables.
     *
     * Returns an empty response in the
     * [response][google.longrunning.Operation.response] field when it completes.
     *
     * Sample code:
     * ```
     * $autoMlClient = new Google\Cloud\AutoMl\V1beta1\AutoMlClient();
     * try {
     *     $formattedName = $autoMlClient->modelName('[PROJECT]', '[LOCATION]', '[MODEL]');
     *     $outputConfig = new Google\Cloud\AutoMl\V1beta1\ExportEvaluatedExamplesOutputConfig();
     *     $operationResponse = $autoMlClient->exportEvaluatedExamples($formattedName, $outputConfig);
     *     $operationResponse->pollUntilComplete();
     *     if ($operationResponse->operationSucceeded()) {
     *         // operation succeeded and returns no value
     *     } else {
     *         $error = $operationResponse->getError();
     *         // handleError($error)
     *     }
     *     // Alternatively:
     *     // start the operation, keep the operation name, and resume later
     *     $operationResponse = $autoMlClient->exportEvaluatedExamples($formattedName, $outputConfig);
     *     $operationName = $operationResponse->getName();
     *     // ... do other work
     *     $newOperationResponse = $autoMlClient->resumeOperation($operationName, 'exportEvaluatedExamples');
     *     while (!$newOperationResponse->isDone()) {
     *         // ... do other work
     *         $newOperationResponse->reload();
     *     }
     *     if ($newOperationResponse->operationSucceeded()) {
     *         // operation succeeded and returns no value
     *     } else {
     *         $error = $newOperationResponse->getError();
     *         // handleError($error)
     *     }
     * } finally {
     *     $autoMlClient->close();
     * }
     * ```
     *
     * @param string                              $name         Required. The resource name of the model whose evaluated examples are to
     *                                                          be exported.
     * @param ExportEvaluatedExamplesOutputConfig $outputConfig Required. The desired output location and configuration.
     * @param array                               $optionalArgs {
     *     Optional.
     *
     *     @type RetrySettings|array $retrySettings
     *           Retry settings to use for this call. Can be a {@see RetrySettings} object, or an
     *           associative array of retry settings parameters. See the documentation on
     *           {@see RetrySettings} for example usage.
     * }
     *
     * @return \Google\ApiCore\OperationResponse
     *
     * @throws ApiException if the remote call fails
     *
     * @experimental
     */
    public function exportEvaluatedExamples(
        $name,
        $outputConfig,
        array $optionalArgs = []
    ) {
        $request = new ExportEvaluatedExamplesRequest();
        $requestParamHeaders = [];
        $request->setName($name);
        $request->setOutputConfig($outputConfig);
        $requestParamHeaders['name'] = $name;
        $requestParams = new RequestParamsHeaderDescriptor(
            $requestParamHeaders
        );
        $optionalArgs['headers'] = isset($optionalArgs['headers'])
            ? array_merge($requestParams->getHeader(), $optionalArgs['headers'])
            : $requestParams->getHeader();
        return $this->startOperationsCall(
            'ExportEvaluatedExamples',
            $optionalArgs,
            $request,
            $this->getOperationsClient()
        )->wait();
    }

    /**
     * Exports a trained, "export-able", model to a user specified Google Cloud
     * Storage location. A model is considered export-able if and only if it has
     * an export format defined for it in
     *
     * [ModelExportOutputConfig][google.cloud.automl.v1beta1.ModelExportOutputConfig].
     *
     * Returns an empty response in the
     * [response][google.longrunning.Operation.response] field when it completes.
     *
     * Sample code:
     * ```
     * $autoMlClient = new Google\Cloud\AutoMl\V1beta1\AutoMlClient();
     * try {
     *     $formattedName = $autoMlClient->modelName('[PROJECT]', '[LOCATION]', '[MODEL]');
     *     $outputConfig = new Google\Cloud\AutoMl\V1beta1\ModelExportOutputConfig();
     *     $operationResponse = $autoMlClient->exportModel($formattedName, $outputConfig);
     *     $operationResponse->pollUntilComplete();
     *     if ($operationResponse->operationSucceeded()) {
     *         // operation succeeded and returns no value
     *     } else {
     *         $error = $operationResponse->getError();
     *         // handleError($error)
     *     }
     *     // Alternatively:
     *     // start the operation, keep the operation name, and resume later
     *     $operationResponse = $autoMlClient->exportModel($formattedName, $outputConfig);
     *     $operationName = $operationResponse->getName();
     *     // ... do other work
     *     $newOperationResponse = $autoMlClient->resumeOperation($operationName, 'exportModel');
     *     while (!$newOperationResponse->isDone()) {
     *         // ... do other work
     *         $newOperationResponse->reload();
     *     }
     *     if ($newOperationResponse->operationSucceeded()) {
     *         // operation succeeded and returns no value
     *     } else {
     *         $error = $newOperationResponse->getError();
     *         // handleError($error)
     *     }
     * } finally {
     *     $autoMlClient->close();
     * }
     * ```
     *
     * @param string                  $name         Required. The resource name of the model to export.
     * @param ModelExportOutputConfig $outputConfig Required. The desired output location and configuration.
     * @param array                   $optionalArgs {
     *     Optional.
     *
     *     @type RetrySettings|array $retrySettings
     *           Retry settings to use for this call. Can be a {@see RetrySettings} object, or an
     *           associative array of retry settings parameters. See the documentation on
     *           {@see RetrySettings} for example usage.
     * }
     *
     * @return \Google\ApiCore\OperationResponse
     *
     * @throws ApiException if the remote call fails
     *
     * @experimental
     */
    public function exportModel($name, $outputConfig, array $optionalArgs = [])
    {
        $request = new ExportModelRequest();
        $requestParamHeaders = [];
        $request->setName($name);
        $request->setOutputConfig($outputConfig);
        $requestParamHeaders['name'] = $name;
        $requestParams = new RequestParamsHeaderDescriptor(
            $requestParamHeaders
        );
        $optionalArgs['headers'] = isset($optionalArgs['headers'])
            ? array_merge($requestParams->getHeader(), $optionalArgs['headers'])
            : $requestParams->getHeader();
        return $this->startOperationsCall(
            'ExportModel',
            $optionalArgs,
            $request,
            $this->getOperationsClient()
        )->wait();
    }

    /**
     * Gets an annotation spec.
     *
     * Sample code:
     * ```
     * $autoMlClient = new Google\Cloud\AutoMl\V1beta1\AutoMlClient();
     * try {
     *     $formattedName = $autoMlClient->annotationSpecName('[PROJECT]', '[LOCATION]', '[DATASET]', '[ANNOTATION_SPEC]');
     *     $response = $autoMlClient->getAnnotationSpec($formattedName);
     * } finally {
     *     $autoMlClient->close();
     * }
     * ```
     *
     * @param string $name         Required. The resource name of the annotation spec to retrieve.
     * @param array  $optionalArgs {
     *     Optional.
     *
     *     @type RetrySettings|array $retrySettings
     *           Retry settings to use for this call. Can be a {@see RetrySettings} object, or an
     *           associative array of retry settings parameters. See the documentation on
     *           {@see RetrySettings} for example usage.
     * }
     *
     * @return \Google\Cloud\AutoMl\V1beta1\AnnotationSpec
     *
     * @throws ApiException if the remote call fails
     *
     * @experimental
     */
    public function getAnnotationSpec($name, array $optionalArgs = [])
    {
        $request = new GetAnnotationSpecRequest();
        $requestParamHeaders = [];
        $request->setName($name);
        $requestParamHeaders['name'] = $name;
        $requestParams = new RequestParamsHeaderDescriptor(
            $requestParamHeaders
        );
        $optionalArgs['headers'] = isset($optionalArgs['headers'])
            ? array_merge($requestParams->getHeader(), $optionalArgs['headers'])
            : $requestParams->getHeader();
        return $this->startCall(
            'GetAnnotationSpec',
            AnnotationSpec::class,
            $optionalArgs,
            $request
        )->wait();
    }

    /**
     * Gets a column spec.
     *
     * Sample code:
     * ```
     * $autoMlClient = new Google\Cloud\AutoMl\V1beta1\AutoMlClient();
     * try {
     *     $formattedName = $autoMlClient->columnSpecName('[PROJECT]', '[LOCATION]', '[DATASET]', '[TABLE_SPEC]', '[COLUMN_SPEC]');
     *     $response = $autoMlClient->getColumnSpec($formattedName);
     * } finally {
     *     $autoMlClient->close();
     * }
     * ```
     *
     * @param string $name         Required. The resource name of the column spec to retrieve.
     * @param array  $optionalArgs {
     *     Optional.
     *
     *     @type FieldMask $fieldMask
     *           Mask specifying which fields to read.
     *     @type RetrySettings|array $retrySettings
     *           Retry settings to use for this call. Can be a {@see RetrySettings} object, or an
     *           associative array of retry settings parameters. See the documentation on
     *           {@see RetrySettings} for example usage.
     * }
     *
     * @return \Google\Cloud\AutoMl\V1beta1\ColumnSpec
     *
     * @throws ApiException if the remote call fails
     *
     * @experimental
     */
    public function getColumnSpec($name, array $optionalArgs = [])
    {
        $request = new GetColumnSpecRequest();
        $requestParamHeaders = [];
        $request->setName($name);
        $requestParamHeaders['name'] = $name;
        if (isset($optionalArgs['fieldMask'])) {
            $request->setFieldMask($optionalArgs['fieldMask']);
        }

        $requestParams = new RequestParamsHeaderDescriptor(
            $requestParamHeaders
        );
        $optionalArgs['headers'] = isset($optionalArgs['headers'])
            ? array_merge($requestParams->getHeader(), $optionalArgs['headers'])
            : $requestParams->getHeader();
        return $this->startCall(
            'GetColumnSpec',
            ColumnSpec::class,
            $optionalArgs,
            $request
        )->wait();
    }

    /**
     * Gets a dataset.
     *
     * Sample code:
     * ```
     * $autoMlClient = new Google\Cloud\AutoMl\V1beta1\AutoMlClient();
     * try {
     *     $formattedName = $autoMlClient->datasetName('[PROJECT]', '[LOCATION]', '[DATASET]');
     *     $response = $autoMlClient->getDataset($formattedName);
     * } finally {
     *     $autoMlClient->close();
     * }
     * ```
     *
     * @param string $name         Required. The resource name of the dataset to retrieve.
     * @param array  $optionalArgs {
     *     Optional.
     *
     *     @type RetrySettings|array $retrySettings
     *           Retry settings to use for this call. Can be a {@see RetrySettings} object, or an
     *           associative array of retry settings parameters. See the documentation on
     *           {@see RetrySettings} for example usage.
     * }
     *
     * @return \Google\Cloud\AutoMl\V1beta1\Dataset
     *
     * @throws ApiException if the remote call fails
     *
     * @experimental
     */
    public function getDataset($name, array $optionalArgs = [])
    {
        $request = new GetDatasetRequest();
        $requestParamHeaders = [];
        $request->setName($name);
        $requestParamHeaders['name'] = $name;
        $requestParams = new RequestParamsHeaderDescriptor(
            $requestParamHeaders
        );
        $optionalArgs['headers'] = isset($optionalArgs['headers'])
            ? array_merge($requestParams->getHeader(), $optionalArgs['headers'])
            : $requestParams->getHeader();
        return $this->startCall(
            'GetDataset',
            Dataset::class,
            $optionalArgs,
            $request
        )->wait();
    }

    /**
     * Gets a model.
     *
     * Sample code:
     * ```
     * $autoMlClient = new Google\Cloud\AutoMl\V1beta1\AutoMlClient();
     * try {
     *     $formattedName = $autoMlClient->modelName('[PROJECT]', '[LOCATION]', '[MODEL]');
     *     $response = $autoMlClient->getModel($formattedName);
     * } finally {
     *     $autoMlClient->close();
     * }
     * ```
     *
     * @param string $name         Required. Resource name of the model.
     * @param array  $optionalArgs {
     *     Optional.
     *
     *     @type RetrySettings|array $retrySettings
     *           Retry settings to use for this call. Can be a {@see RetrySettings} object, or an
     *           associative array of retry settings parameters. See the documentation on
     *           {@see RetrySettings} for example usage.
     * }
     *
     * @return \Google\Cloud\AutoMl\V1beta1\Model
     *
     * @throws ApiException if the remote call fails
     *
     * @experimental
     */
    public function getModel($name, array $optionalArgs = [])
    {
        $request = new GetModelRequest();
        $requestParamHeaders = [];
        $request->setName($name);
        $requestParamHeaders['name'] = $name;
        $requestParams = new RequestParamsHeaderDescriptor(
            $requestParamHeaders
        );
        $optionalArgs['headers'] = isset($optionalArgs['headers'])
            ? array_merge($requestParams->getHeader(), $optionalArgs['headers'])
            : $requestParams->getHeader();
        return $this->startCall(
            'GetModel',
            Model::class,
            $optionalArgs,
            $request
        )->wait();
    }

    /**
     * Gets a model evaluation.
     *
     * Sample code:
     * ```
     * $autoMlClient = new Google\Cloud\AutoMl\V1beta1\AutoMlClient();
     * try {
     *     $formattedName = $autoMlClient->modelEvaluationName('[PROJECT]', '[LOCATION]', '[MODEL]', '[MODEL_EVALUATION]');
     *     $response = $autoMlClient->getModelEvaluation($formattedName);
     * } finally {
     *     $autoMlClient->close();
     * }
     * ```
     *
     * @param string $name         Required. Resource name for the model evaluation.
     * @param array  $optionalArgs {
     *     Optional.
     *
     *     @type RetrySettings|array $retrySettings
     *           Retry settings to use for this call. Can be a {@see RetrySettings} object, or an
     *           associative array of retry settings parameters. See the documentation on
     *           {@see RetrySettings} for example usage.
     * }
     *
     * @return \Google\Cloud\AutoMl\V1beta1\ModelEvaluation
     *
     * @throws ApiException if the remote call fails
     *
     * @experimental
     */
    public function getModelEvaluation($name, array $optionalArgs = [])
    {
        $request = new GetModelEvaluationRequest();
        $requestParamHeaders = [];
        $request->setName($name);
        $requestParamHeaders['name'] = $name;
        $requestParams = new RequestParamsHeaderDescriptor(
            $requestParamHeaders
        );
        $optionalArgs['headers'] = isset($optionalArgs['headers'])
            ? array_merge($requestParams->getHeader(), $optionalArgs['headers'])
            : $requestParams->getHeader();
        return $this->startCall(
            'GetModelEvaluation',
            ModelEvaluation::class,
            $optionalArgs,
            $request
        )->wait();
    }

    /**
     * Gets a table spec.
     *
     * Sample code:
     * ```
     * $autoMlClient = new Google\Cloud\AutoMl\V1beta1\AutoMlClient();
     * try {
     *     $formattedName = $autoMlClient->tableSpecName('[PROJECT]', '[LOCATION]', '[DATASET]', '[TABLE_SPEC]');
     *     $response = $autoMlClient->getTableSpec($formattedName);
     * } finally {
     *     $autoMlClient->close();
     * }
     * ```
     *
     * @param string $name         Required. The resource name of the table spec to retrieve.
     * @param array  $optionalArgs {
     *     Optional.
     *
     *     @type FieldMask $fieldMask
     *           Mask specifying which fields to read.
     *     @type RetrySettings|array $retrySettings
     *           Retry settings to use for this call. Can be a {@see RetrySettings} object, or an
     *           associative array of retry settings parameters. See the documentation on
     *           {@see RetrySettings} for example usage.
     * }
     *
     * @return \Google\Cloud\AutoMl\V1beta1\TableSpec
     *
     * @throws ApiException if the remote call fails
     *
     * @experimental
     */
    public function getTableSpec($name, array $optionalArgs = [])
    {
        $request = new GetTableSpecRequest();
        $requestParamHeaders = [];
        $request->setName($name);
        $requestParamHeaders['name'] = $name;
        if (isset($optionalArgs['fieldMask'])) {
            $request->setFieldMask($optionalArgs['fieldMask']);
        }

        $requestParams = new RequestParamsHeaderDescriptor(
            $requestParamHeaders
        );
        $optionalArgs['headers'] = isset($optionalArgs['headers'])
            ? array_merge($requestParams->getHeader(), $optionalArgs['headers'])
            : $requestParams->getHeader();
        return $this->startCall(
            'GetTableSpec',
            TableSpec::class,
            $optionalArgs,
            $request
        )->wait();
    }

    /**
     * Imports data into a dataset.
     * For Tables this method can only be called on an empty Dataset.
     *
     * For Tables:
     * *   A
     * [schema_inference_version][google.cloud.automl.v1beta1.InputConfig.params]
     * parameter must be explicitly set.
     * Returns an empty response in the
     * [response][google.longrunning.Operation.response] field when it completes.
     *
     * Sample code:
     * ```
     * $autoMlClient = new Google\Cloud\AutoMl\V1beta1\AutoMlClient();
     * try {
     *     $formattedName = $autoMlClient->datasetName('[PROJECT]', '[LOCATION]', '[DATASET]');
     *     $inputConfig = new InputConfig();
     *     $operationResponse = $autoMlClient->importData($formattedName, $inputConfig);
     *     $operationResponse->pollUntilComplete();
     *     if ($operationResponse->operationSucceeded()) {
     *         // operation succeeded and returns no value
     *     } else {
     *         $error = $operationResponse->getError();
     *         // handleError($error)
     *     }
     *     // Alternatively:
     *     // start the operation, keep the operation name, and resume later
     *     $operationResponse = $autoMlClient->importData($formattedName, $inputConfig);
     *     $operationName = $operationResponse->getName();
     *     // ... do other work
     *     $newOperationResponse = $autoMlClient->resumeOperation($operationName, 'importData');
     *     while (!$newOperationResponse->isDone()) {
     *         // ... do other work
     *         $newOperationResponse->reload();
     *     }
     *     if ($newOperationResponse->operationSucceeded()) {
     *         // operation succeeded and returns no value
     *     } else {
     *         $error = $newOperationResponse->getError();
     *         // handleError($error)
     *     }
     * } finally {
     *     $autoMlClient->close();
     * }
     * ```
     *
     * @param string      $name         Required. Dataset name. Dataset must already exist. All imported
     *                                  annotations and examples will be added.
     * @param InputConfig $inputConfig  Required. The desired input location and its domain specific semantics,
     *                                  if any.
     * @param array       $optionalArgs {
     *     Optional.
     *
     *     @type RetrySettings|array $retrySettings
     *           Retry settings to use for this call. Can be a {@see RetrySettings} object, or an
     *           associative array of retry settings parameters. See the documentation on
     *           {@see RetrySettings} for example usage.
     * }
     *
     * @return \Google\ApiCore\OperationResponse
     *
     * @throws ApiException if the remote call fails
     *
     * @experimental
     */
    public function importData($name, $inputConfig, array $optionalArgs = [])
    {
        $request = new ImportDataRequest();
        $requestParamHeaders = [];
        $request->setName($name);
        $request->setInputConfig($inputConfig);
        $requestParamHeaders['name'] = $name;
        $requestParams = new RequestParamsHeaderDescriptor(
            $requestParamHeaders
        );
        $optionalArgs['headers'] = isset($optionalArgs['headers'])
            ? array_merge($requestParams->getHeader(), $optionalArgs['headers'])
            : $requestParams->getHeader();
        return $this->startOperationsCall(
            'ImportData',
            $optionalArgs,
            $request,
            $this->getOperationsClient()
        )->wait();
    }

    /**
     * Lists column specs in a table spec.
     *
     * Sample code:
     * ```
     * $autoMlClient = new Google\Cloud\AutoMl\V1beta1\AutoMlClient();
     * try {
     *     $formattedParent = $autoMlClient->tableSpecName('[PROJECT]', '[LOCATION]', '[DATASET]', '[TABLE_SPEC]');
     *     // Iterate over pages of elements
     *     $pagedResponse = $autoMlClient->listColumnSpecs($formattedParent);
     *     foreach ($pagedResponse->iteratePages() as $page) {
     *         foreach ($page as $element) {
     *             // doSomethingWith($element);
     *         }
     *     }
     *     // Alternatively:
     *     // Iterate through all elements
     *     $pagedResponse = $autoMlClient->listColumnSpecs($formattedParent);
     *     foreach ($pagedResponse->iterateAllElements() as $element) {
     *         // doSomethingWith($element);
     *     }
     * } finally {
     *     $autoMlClient->close();
     * }
     * ```
     *
     * @param string $parent       Required. The resource name of the table spec to list column specs from.
     * @param array  $optionalArgs {
     *     Optional.
     *
     *     @type FieldMask $fieldMask
     *           Mask specifying which fields to read.
     *     @type string $filter
     *           Filter expression, see go/filtering.
     *     @type int $pageSize
     *           The maximum number of resources contained in the underlying API
     *           response. The API may return fewer values in a page, even if
     *           there are additional values to be retrieved.
     *     @type string $pageToken
     *           A page token is used to specify a page of values to be returned.
     *           If no page token is specified (the default), the first page
     *           of values will be returned. Any page token used here must have
     *           been generated by a previous call to the API.
     *     @type RetrySettings|array $retrySettings
     *           Retry settings to use for this call. Can be a {@see RetrySettings} object, or an
     *           associative array of retry settings parameters. See the documentation on
     *           {@see RetrySettings} for example usage.
     * }
     *
     * @return \Google\ApiCore\PagedListResponse
     *
     * @throws ApiException if the remote call fails
     *
     * @experimental
     */
    public function listColumnSpecs($parent, array $optionalArgs = [])
    {
        $request = new ListColumnSpecsRequest();
        $requestParamHeaders = [];
        $request->setParent($parent);
        $requestParamHeaders['parent'] = $parent;
        if (isset($optionalArgs['fieldMask'])) {
            $request->setFieldMask($optionalArgs['fieldMask']);
        }

        if (isset($optionalArgs['filter'])) {
            $request->setFilter($optionalArgs['filter']);
        }

        if (isset($optionalArgs['pageSize'])) {
            $request->setPageSize($optionalArgs['pageSize']);
        }

        if (isset($optionalArgs['pageToken'])) {
            $request->setPageToken($optionalArgs['pageToken']);
        }

        $requestParams = new RequestParamsHeaderDescriptor(
            $requestParamHeaders
        );
        $optionalArgs['headers'] = isset($optionalArgs['headers'])
            ? array_merge($requestParams->getHeader(), $optionalArgs['headers'])
            : $requestParams->getHeader();
        return $this->getPagedListResponse(
            'ListColumnSpecs',
            $optionalArgs,
            ListColumnSpecsResponse::class,
            $request
        );
    }

    /**
     * Lists datasets in a project.
     *
     * Sample code:
     * ```
     * $autoMlClient = new Google\Cloud\AutoMl\V1beta1\AutoMlClient();
     * try {
     *     $formattedParent = $autoMlClient->locationName('[PROJECT]', '[LOCATION]');
     *     // Iterate over pages of elements
     *     $pagedResponse = $autoMlClient->listDatasets($formattedParent);
     *     foreach ($pagedResponse->iteratePages() as $page) {
     *         foreach ($page as $element) {
     *             // doSomethingWith($element);
     *         }
     *     }
     *     // Alternatively:
     *     // Iterate through all elements
     *     $pagedResponse = $autoMlClient->listDatasets($formattedParent);
     *     foreach ($pagedResponse->iterateAllElements() as $element) {
     *         // doSomethingWith($element);
     *     }
     * } finally {
     *     $autoMlClient->close();
     * }
     * ```
     *
     * @param string $parent       Required. The resource name of the project from which to list datasets.
     * @param array  $optionalArgs {
     *     Optional.
     *
     *     @type string $filter
     *           An expression for filtering the results of the request.
     *
     *           * `dataset_metadata` - for existence of the case (e.g.
     *           `image_classification_dataset_metadata:*`). Some examples of
     *           using the filter are:
     *
     *           * `translation_dataset_metadata:*` --> The dataset has
     *           `translation_dataset_metadata`.
     *     @type int $pageSize
     *           The maximum number of resources contained in the underlying API
     *           response. The API may return fewer values in a page, even if
     *           there are additional values to be retrieved.
     *     @type string $pageToken
     *           A page token is used to specify a page of values to be returned.
     *           If no page token is specified (the default), the first page
     *           of values will be returned. Any page token used here must have
     *           been generated by a previous call to the API.
     *     @type RetrySettings|array $retrySettings
     *           Retry settings to use for this call. Can be a {@see RetrySettings} object, or an
     *           associative array of retry settings parameters. See the documentation on
     *           {@see RetrySettings} for example usage.
     * }
     *
     * @return \Google\ApiCore\PagedListResponse
     *
     * @throws ApiException if the remote call fails
     *
     * @experimental
     */
    public function listDatasets($parent, array $optionalArgs = [])
    {
        $request = new ListDatasetsRequest();
        $requestParamHeaders = [];
        $request->setParent($parent);
        $requestParamHeaders['parent'] = $parent;
        if (isset($optionalArgs['filter'])) {
            $request->setFilter($optionalArgs['filter']);
        }

        if (isset($optionalArgs['pageSize'])) {
            $request->setPageSize($optionalArgs['pageSize']);
        }

        if (isset($optionalArgs['pageToken'])) {
            $request->setPageToken($optionalArgs['pageToken']);
        }

        $requestParams = new RequestParamsHeaderDescriptor(
            $requestParamHeaders
        );
        $optionalArgs['headers'] = isset($optionalArgs['headers'])
            ? array_merge($requestParams->getHeader(), $optionalArgs['headers'])
            : $requestParams->getHeader();
        return $this->getPagedListResponse(
            'ListDatasets',
            $optionalArgs,
            ListDatasetsResponse::class,
            $request
        );
    }

    /**
     * Lists model evaluations.
     *
     * Sample code:
     * ```
     * $autoMlClient = new Google\Cloud\AutoMl\V1beta1\AutoMlClient();
     * try {
     *     $formattedParent = $autoMlClient->modelName('[PROJECT]', '[LOCATION]', '[MODEL]');
     *     // Iterate over pages of elements
     *     $pagedResponse = $autoMlClient->listModelEvaluations($formattedParent);
     *     foreach ($pagedResponse->iteratePages() as $page) {
     *         foreach ($page as $element) {
     *             // doSomethingWith($element);
     *         }
     *     }
     *     // Alternatively:
     *     // Iterate through all elements
     *     $pagedResponse = $autoMlClient->listModelEvaluations($formattedParent);
     *     foreach ($pagedResponse->iterateAllElements() as $element) {
     *         // doSomethingWith($element);
     *     }
     * } finally {
     *     $autoMlClient->close();
     * }
     * ```
     *
     * @param string $parent       Required. Resource name of the model to list the model evaluations for.
     *                             If modelId is set as "-", this will list model evaluations from across all
     *                             models of the parent location.
     * @param array  $optionalArgs {
     *     Optional.
     *
     *     @type string $filter
     *           An expression for filtering the results of the request.
     *
     *           * `annotation_spec_id` - for =, !=  or existence. See example below for
     *           the last.
     *
     *           Some examples of using the filter are:
     *
     *           * `annotation_spec_id!=4` --> The model evaluation was done for
     *           annotation spec with ID different than 4.
     *           * `NOT annotation_spec_id:*` --> The model evaluation was done for
     *           aggregate of all annotation specs.
     *     @type int $pageSize
     *           The maximum number of resources contained in the underlying API
     *           response. The API may return fewer values in a page, even if
     *           there are additional values to be retrieved.
     *     @type string $pageToken
     *           A page token is used to specify a page of values to be returned.
     *           If no page token is specified (the default), the first page
     *           of values will be returned. Any page token used here must have
     *           been generated by a previous call to the API.
     *     @type RetrySettings|array $retrySettings
     *           Retry settings to use for this call. Can be a {@see RetrySettings} object, or an
     *           associative array of retry settings parameters. See the documentation on
     *           {@see RetrySettings} for example usage.
     * }
     *
     * @return \Google\ApiCore\PagedListResponse
     *
     * @throws ApiException if the remote call fails
     *
     * @experimental
     */
    public function listModelEvaluations($parent, array $optionalArgs = [])
    {
        $request = new ListModelEvaluationsRequest();
        $requestParamHeaders = [];
        $request->setParent($parent);
        $requestParamHeaders['parent'] = $parent;
        if (isset($optionalArgs['filter'])) {
            $request->setFilter($optionalArgs['filter']);
        }

        if (isset($optionalArgs['pageSize'])) {
            $request->setPageSize($optionalArgs['pageSize']);
        }

        if (isset($optionalArgs['pageToken'])) {
            $request->setPageToken($optionalArgs['pageToken']);
        }

        $requestParams = new RequestParamsHeaderDescriptor(
            $requestParamHeaders
        );
        $optionalArgs['headers'] = isset($optionalArgs['headers'])
            ? array_merge($requestParams->getHeader(), $optionalArgs['headers'])
            : $requestParams->getHeader();
        return $this->getPagedListResponse(
            'ListModelEvaluations',
            $optionalArgs,
            ListModelEvaluationsResponse::class,
            $request
        );
    }

    /**
     * Lists models.
     *
     * Sample code:
     * ```
     * $autoMlClient = new Google\Cloud\AutoMl\V1beta1\AutoMlClient();
     * try {
     *     $formattedParent = $autoMlClient->locationName('[PROJECT]', '[LOCATION]');
     *     // Iterate over pages of elements
     *     $pagedResponse = $autoMlClient->listModels($formattedParent);
     *     foreach ($pagedResponse->iteratePages() as $page) {
     *         foreach ($page as $element) {
     *             // doSomethingWith($element);
     *         }
     *     }
     *     // Alternatively:
     *     // Iterate through all elements
     *     $pagedResponse = $autoMlClient->listModels($formattedParent);
     *     foreach ($pagedResponse->iterateAllElements() as $element) {
     *         // doSomethingWith($element);
     *     }
     * } finally {
     *     $autoMlClient->close();
     * }
     * ```
     *
     * @param string $parent       Required. Resource name of the project, from which to list the models.
     * @param array  $optionalArgs {
     *     Optional.
     *
     *     @type string $filter
     *           An expression for filtering the results of the request.
     *
     *           * `model_metadata` - for existence of the case (e.g.
     *           `video_classification_model_metadata:*`).
     *           * `dataset_id` - for = or !=. Some examples of using the filter are:
     *
     *           * `image_classification_model_metadata:*` --> The model has
     *           `image_classification_model_metadata`.
     *           * `dataset_id=5` --> The model was created from a dataset with ID 5.
     *     @type int $pageSize
     *           The maximum number of resources contained in the underlying API
     *           response. The API may return fewer values in a page, even if
     *           there are additional values to be retrieved.
     *     @type string $pageToken
     *           A page token is used to specify a page of values to be returned.
     *           If no page token is specified (the default), the first page
     *           of values will be returned. Any page token used here must have
     *           been generated by a previous call to the API.
     *     @type RetrySettings|array $retrySettings
     *           Retry settings to use for this call. Can be a {@see RetrySettings} object, or an
     *           associative array of retry settings parameters. See the documentation on
     *           {@see RetrySettings} for example usage.
     * }
     *
     * @return \Google\ApiCore\PagedListResponse
     *
     * @throws ApiException if the remote call fails
     *
     * @experimental
     */
    public function listModels($parent, array $optionalArgs = [])
    {
        $request = new ListModelsRequest();
        $requestParamHeaders = [];
        $request->setParent($parent);
        $requestParamHeaders['parent'] = $parent;
        if (isset($optionalArgs['filter'])) {
            $request->setFilter($optionalArgs['filter']);
        }

        if (isset($optionalArgs['pageSize'])) {
            $request->setPageSize($optionalArgs['pageSize']);
        }

        if (isset($optionalArgs['pageToken'])) {
            $request->setPageToken($optionalArgs['pageToken']);
        }

        $requestParams = new RequestParamsHeaderDescriptor(
            $requestParamHeaders
        );
        $optionalArgs['headers'] = isset($optionalArgs['headers'])
            ? array_merge($requestParams->getHeader(), $optionalArgs['headers'])
            : $requestParams->getHeader();
        return $this->getPagedListResponse(
            'ListModels',
            $optionalArgs,
            ListModelsResponse::class,
            $request
        );
    }

    /**
     * Lists table specs in a dataset.
     *
     * Sample code:
     * ```
     * $autoMlClient = new Google\Cloud\AutoMl\V1beta1\AutoMlClient();
     * try {
     *     $formattedParent = $autoMlClient->datasetName('[PROJECT]', '[LOCATION]', '[DATASET]');
     *     // Iterate over pages of elements
     *     $pagedResponse = $autoMlClient->listTableSpecs($formattedParent);
     *     foreach ($pagedResponse->iteratePages() as $page) {
     *         foreach ($page as $element) {
     *             // doSomethingWith($element);
     *         }
     *     }
     *     // Alternatively:
     *     // Iterate through all elements
     *     $pagedResponse = $autoMlClient->listTableSpecs($formattedParent);
     *     foreach ($pagedResponse->iterateAllElements() as $element) {
     *         // doSomethingWith($element);
     *     }
     * } finally {
     *     $autoMlClient->close();
     * }
     * ```
     *
     * @param string $parent       Required. The resource name of the dataset to list table specs from.
     * @param array  $optionalArgs {
     *     Optional.
     *
     *     @type FieldMask $fieldMask
     *           Mask specifying which fields to read.
     *     @type string $filter
     *           Filter expression, see go/filtering.
     *     @type int $pageSize
     *           The maximum number of resources contained in the underlying API
     *           response. The API may return fewer values in a page, even if
     *           there are additional values to be retrieved.
     *     @type string $pageToken
     *           A page token is used to specify a page of values to be returned.
     *           If no page token is specified (the default), the first page
     *           of values will be returned. Any page token used here must have
     *           been generated by a previous call to the API.
     *     @type RetrySettings|array $retrySettings
     *           Retry settings to use for this call. Can be a {@see RetrySettings} object, or an
     *           associative array of retry settings parameters. See the documentation on
     *           {@see RetrySettings} for example usage.
     * }
     *
     * @return \Google\ApiCore\PagedListResponse
     *
     * @throws ApiException if the remote call fails
     *
     * @experimental
     */
    public function listTableSpecs($parent, array $optionalArgs = [])
    {
        $request = new ListTableSpecsRequest();
        $requestParamHeaders = [];
        $request->setParent($parent);
        $requestParamHeaders['parent'] = $parent;
        if (isset($optionalArgs['fieldMask'])) {
            $request->setFieldMask($optionalArgs['fieldMask']);
        }

        if (isset($optionalArgs['filter'])) {
            $request->setFilter($optionalArgs['filter']);
        }

        if (isset($optionalArgs['pageSize'])) {
            $request->setPageSize($optionalArgs['pageSize']);
        }

        if (isset($optionalArgs['pageToken'])) {
            $request->setPageToken($optionalArgs['pageToken']);
        }

        $requestParams = new RequestParamsHeaderDescriptor(
            $requestParamHeaders
        );
        $optionalArgs['headers'] = isset($optionalArgs['headers'])
            ? array_merge($requestParams->getHeader(), $optionalArgs['headers'])
            : $requestParams->getHeader();
        return $this->getPagedListResponse(
            'ListTableSpecs',
            $optionalArgs,
            ListTableSpecsResponse::class,
            $request
        );
    }

    /**
     * Undeploys a model. If the model is not deployed this method has no effect.
     *
     * Only applicable for Text Classification, Image Object Detection and Tables;
     * all other domains manage deployment automatically.
     *
     * Returns an empty response in the
     * [response][google.longrunning.Operation.response] field when it completes.
     *
     * Sample code:
     * ```
     * $autoMlClient = new Google\Cloud\AutoMl\V1beta1\AutoMlClient();
     * try {
     *     $formattedName = $autoMlClient->modelName('[PROJECT]', '[LOCATION]', '[MODEL]');
     *     $operationResponse = $autoMlClient->undeployModel($formattedName);
     *     $operationResponse->pollUntilComplete();
     *     if ($operationResponse->operationSucceeded()) {
     *         // operation succeeded and returns no value
     *     } else {
     *         $error = $operationResponse->getError();
     *         // handleError($error)
     *     }
     *     // Alternatively:
     *     // start the operation, keep the operation name, and resume later
     *     $operationResponse = $autoMlClient->undeployModel($formattedName);
     *     $operationName = $operationResponse->getName();
     *     // ... do other work
     *     $newOperationResponse = $autoMlClient->resumeOperation($operationName, 'undeployModel');
     *     while (!$newOperationResponse->isDone()) {
     *         // ... do other work
     *         $newOperationResponse->reload();
     *     }
     *     if ($newOperationResponse->operationSucceeded()) {
     *         // operation succeeded and returns no value
     *     } else {
     *         $error = $newOperationResponse->getError();
     *         // handleError($error)
     *     }
     * } finally {
     *     $autoMlClient->close();
     * }
     * ```
     *
     * @param string $name         Required. Resource name of the model to undeploy.
     * @param array  $optionalArgs {
     *     Optional.
     *
     *     @type RetrySettings|array $retrySettings
     *           Retry settings to use for this call. Can be a {@see RetrySettings} object, or an
     *           associative array of retry settings parameters. See the documentation on
     *           {@see RetrySettings} for example usage.
     * }
     *
     * @return \Google\ApiCore\OperationResponse
     *
     * @throws ApiException if the remote call fails
     *
     * @experimental
     */
    public function undeployModel($name, array $optionalArgs = [])
    {
        $request = new UndeployModelRequest();
        $requestParamHeaders = [];
        $request->setName($name);
        $requestParamHeaders['name'] = $name;
        $requestParams = new RequestParamsHeaderDescriptor(
            $requestParamHeaders
        );
        $optionalArgs['headers'] = isset($optionalArgs['headers'])
            ? array_merge($requestParams->getHeader(), $optionalArgs['headers'])
            : $requestParams->getHeader();
        return $this->startOperationsCall(
            'UndeployModel',
            $optionalArgs,
            $request,
            $this->getOperationsClient()
        )->wait();
    }

    /**
     * Updates a column spec.
     *
     * Sample code:
     * ```
     * $autoMlClient = new Google\Cloud\AutoMl\V1beta1\AutoMlClient();
     * try {
     *     $columnSpec = new Google\Cloud\AutoMl\V1beta1\ColumnSpec();
     *     $response = $autoMlClient->updateColumnSpec($columnSpec);
     * } finally {
     *     $autoMlClient->close();
     * }
     * ```
     *
     * @param ColumnSpec $columnSpec   Required. The column spec which replaces the resource on the server.
     * @param array      $optionalArgs {
     *     Optional.
     *
     *     @type FieldMask $updateMask
     *           The update mask applies to the resource.
     *     @type RetrySettings|array $retrySettings
     *           Retry settings to use for this call. Can be a {@see RetrySettings} object, or an
     *           associative array of retry settings parameters. See the documentation on
     *           {@see RetrySettings} for example usage.
     * }
     *
     * @return \Google\Cloud\AutoMl\V1beta1\ColumnSpec
     *
     * @throws ApiException if the remote call fails
     *
     * @experimental
     */
    public function updateColumnSpec($columnSpec, array $optionalArgs = [])
    {
        $request = new UpdateColumnSpecRequest();
        $requestParamHeaders = [];
        $request->setColumnSpec($columnSpec);
        $requestParamHeaders['column_spec.name'] = $columnSpec->getName();
        if (isset($optionalArgs['updateMask'])) {
            $request->setUpdateMask($optionalArgs['updateMask']);
        }

        $requestParams = new RequestParamsHeaderDescriptor(
            $requestParamHeaders
        );
        $optionalArgs['headers'] = isset($optionalArgs['headers'])
            ? array_merge($requestParams->getHeader(), $optionalArgs['headers'])
            : $requestParams->getHeader();
        return $this->startCall(
            'UpdateColumnSpec',
            ColumnSpec::class,
            $optionalArgs,
            $request
        )->wait();
    }

    /**
     * Updates a dataset.
     *
     * Sample code:
     * ```
     * $autoMlClient = new Google\Cloud\AutoMl\V1beta1\AutoMlClient();
     * try {
     *     $dataset = new Google\Cloud\AutoMl\V1beta1\Dataset();
     *     $response = $autoMlClient->updateDataset($dataset);
     * } finally {
     *     $autoMlClient->close();
     * }
     * ```
     *
     * @param Dataset $dataset      Required. The dataset which replaces the resource on the server.
     * @param array   $optionalArgs {
     *     Optional.
     *
     *     @type FieldMask $updateMask
     *           The update mask applies to the resource.
     *     @type RetrySettings|array $retrySettings
     *           Retry settings to use for this call. Can be a {@see RetrySettings} object, or an
     *           associative array of retry settings parameters. See the documentation on
     *           {@see RetrySettings} for example usage.
     * }
     *
     * @return \Google\Cloud\AutoMl\V1beta1\Dataset
     *
     * @throws ApiException if the remote call fails
     *
     * @experimental
     */
    public function updateDataset($dataset, array $optionalArgs = [])
    {
        $request = new UpdateDatasetRequest();
        $requestParamHeaders = [];
        $request->setDataset($dataset);
        $requestParamHeaders['dataset.name'] = $dataset->getName();
        if (isset($optionalArgs['updateMask'])) {
            $request->setUpdateMask($optionalArgs['updateMask']);
        }

        $requestParams = new RequestParamsHeaderDescriptor(
            $requestParamHeaders
        );
        $optionalArgs['headers'] = isset($optionalArgs['headers'])
            ? array_merge($requestParams->getHeader(), $optionalArgs['headers'])
            : $requestParams->getHeader();
        return $this->startCall(
            'UpdateDataset',
            Dataset::class,
            $optionalArgs,
            $request
        )->wait();
    }

    /**
     * Updates a table spec.
     *
     * Sample code:
     * ```
     * $autoMlClient = new Google\Cloud\AutoMl\V1beta1\AutoMlClient();
     * try {
     *     $tableSpec = new Google\Cloud\AutoMl\V1beta1\TableSpec();
     *     $response = $autoMlClient->updateTableSpec($tableSpec);
     * } finally {
     *     $autoMlClient->close();
     * }
     * ```
     *
     * @param TableSpec $tableSpec    Required. The table spec which replaces the resource on the server.
     * @param array     $optionalArgs {
     *     Optional.
     *
     *     @type FieldMask $updateMask
     *           The update mask applies to the resource.
     *     @type RetrySettings|array $retrySettings
     *           Retry settings to use for this call. Can be a {@see RetrySettings} object, or an
     *           associative array of retry settings parameters. See the documentation on
     *           {@see RetrySettings} for example usage.
     * }
     *
     * @return \Google\Cloud\AutoMl\V1beta1\TableSpec
     *
     * @throws ApiException if the remote call fails
     *
     * @experimental
     */
    public function updateTableSpec($tableSpec, array $optionalArgs = [])
    {
        $request = new UpdateTableSpecRequest();
        $requestParamHeaders = [];
        $request->setTableSpec($tableSpec);
        $requestParamHeaders['table_spec.name'] = $tableSpec->getName();
        if (isset($optionalArgs['updateMask'])) {
            $request->setUpdateMask($optionalArgs['updateMask']);
        }

        $requestParams = new RequestParamsHeaderDescriptor(
            $requestParamHeaders
        );
        $optionalArgs['headers'] = isset($optionalArgs['headers'])
            ? array_merge($requestParams->getHeader(), $optionalArgs['headers'])
            : $requestParams->getHeader();
        return $this->startCall(
            'UpdateTableSpec',
            TableSpec::class,
            $optionalArgs,
            $request
        )->wait();
    }
}