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<?php
/*
* Copyright 2014 Google Inc.
*
* 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
*
* http://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.
*/
namespace Google\Service\CloudMachineLearningEngine\Resource;
use Google\Service\CloudMachineLearningEngine\GoogleApiHttpBody;
use Google\Service\CloudMachineLearningEngine\GoogleCloudMlV1ExplainRequest;
use Google\Service\CloudMachineLearningEngine\GoogleCloudMlV1GetConfigResponse;
use Google\Service\CloudMachineLearningEngine\GoogleCloudMlV1PredictRequest;
/**
* The "projects" collection of methods.
* Typical usage is:
* <code>
* $mlService = new Google\Service\CloudMachineLearningEngine(...);
* $projects = $mlService->projects;
* </code>
*/
class Projects extends \Google\Service\Resource
{
/**
* Performs explanation on the data in the request. {% dynamic include "/ai-
* platform/includes/___explain-request" %} (projects.explain)
*
* @param string $name Required. The resource name of a model or a version.
* Authorization: requires the `predict` permission on the specified resource.
* @param GoogleCloudMlV1ExplainRequest $postBody
* @param array $optParams Optional parameters.
* @return GoogleApiHttpBody
* @throws \Google\Service\Exception
*/
public function explain($name, GoogleCloudMlV1ExplainRequest $postBody, $optParams = [])
{
$params = ['name' => $name, 'postBody' => $postBody];
$params = array_merge($params, $optParams);
return $this->call('explain', [$params], GoogleApiHttpBody::class);
}
/**
* Get the service account information associated with your project. You need
* this information in order to grant the service account permissions for the
* Google Cloud Storage location where you put your model training code for
* training the model with Google Cloud Machine Learning. (projects.getConfig)
*
* @param string $name Required. The project name.
* @param array $optParams Optional parameters.
* @return GoogleCloudMlV1GetConfigResponse
* @throws \Google\Service\Exception
*/
public function getConfig($name, $optParams = [])
{
$params = ['name' => $name];
$params = array_merge($params, $optParams);
return $this->call('getConfig', [$params], GoogleCloudMlV1GetConfigResponse::class);
}
/**
* Performs online prediction on the data in the request. {% dynamic include
* "/ai-platform/includes/___predict-request" %} (projects.predict)
*
* @param string $name Required. The resource name of a model or a version.
* Authorization: requires the `predict` permission on the specified resource.
* @param GoogleCloudMlV1PredictRequest $postBody
* @param array $optParams Optional parameters.
* @return GoogleApiHttpBody
* @throws \Google\Service\Exception
*/
public function predict($name, GoogleCloudMlV1PredictRequest $postBody, $optParams = [])
{
$params = ['name' => $name, 'postBody' => $postBody];
$params = array_merge($params, $optParams);
return $this->call('predict', [$params], GoogleApiHttpBody::class);
}
}
// Adding a class alias for backwards compatibility with the previous class name.
class_alias(Projects::class, 'Google_Service_CloudMachineLearningEngine_Resource_Projects');