90 lines
3.6 KiB
PHP
90 lines
3.6 KiB
PHP
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<?php
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/*
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* Copyright 2014 Google Inc.
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*
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* Licensed under the Apache License, Version 2.0 (the "License"); you may not
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* use this file except in compliance with the License. You may obtain a copy of
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* the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations under
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* the License.
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*/
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namespace Google\Service\CloudMachineLearningEngine\Resource;
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use Google\Service\CloudMachineLearningEngine\GoogleApiHttpBody;
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use Google\Service\CloudMachineLearningEngine\GoogleCloudMlV1ExplainRequest;
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use Google\Service\CloudMachineLearningEngine\GoogleCloudMlV1GetConfigResponse;
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use Google\Service\CloudMachineLearningEngine\GoogleCloudMlV1PredictRequest;
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/**
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* The "projects" collection of methods.
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* Typical usage is:
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* <code>
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* $mlService = new Google\Service\CloudMachineLearningEngine(...);
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* $projects = $mlService->projects;
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* </code>
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*/
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class Projects extends \Google\Service\Resource
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{
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/**
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* Performs explanation on the data in the request. {% dynamic include "/ai-
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* platform/includes/___explain-request" %} (projects.explain)
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*
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* @param string $name Required. The resource name of a model or a version.
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* Authorization: requires the `predict` permission on the specified resource.
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* @param GoogleCloudMlV1ExplainRequest $postBody
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* @param array $optParams Optional parameters.
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* @return GoogleApiHttpBody
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* @throws \Google\Service\Exception
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*/
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public function explain($name, GoogleCloudMlV1ExplainRequest $postBody, $optParams = [])
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{
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$params = ['name' => $name, 'postBody' => $postBody];
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$params = array_merge($params, $optParams);
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return $this->call('explain', [$params], GoogleApiHttpBody::class);
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}
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/**
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* Get the service account information associated with your project. You need
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* this information in order to grant the service account permissions for the
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* Google Cloud Storage location where you put your model training code for
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* training the model with Google Cloud Machine Learning. (projects.getConfig)
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*
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* @param string $name Required. The project name.
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* @param array $optParams Optional parameters.
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* @return GoogleCloudMlV1GetConfigResponse
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* @throws \Google\Service\Exception
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*/
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public function getConfig($name, $optParams = [])
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{
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$params = ['name' => $name];
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$params = array_merge($params, $optParams);
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return $this->call('getConfig', [$params], GoogleCloudMlV1GetConfigResponse::class);
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}
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/**
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* Performs online prediction on the data in the request. {% dynamic include
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* "/ai-platform/includes/___predict-request" %} (projects.predict)
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*
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* @param string $name Required. The resource name of a model or a version.
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* Authorization: requires the `predict` permission on the specified resource.
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* @param GoogleCloudMlV1PredictRequest $postBody
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* @param array $optParams Optional parameters.
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* @return GoogleApiHttpBody
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* @throws \Google\Service\Exception
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*/
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public function predict($name, GoogleCloudMlV1PredictRequest $postBody, $optParams = [])
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{
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$params = ['name' => $name, 'postBody' => $postBody];
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$params = array_merge($params, $optParams);
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return $this->call('predict', [$params], GoogleApiHttpBody::class);
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}
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}
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// Adding a class alias for backwards compatibility with the previous class name.
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class_alias(Projects::class, 'Google_Service_CloudMachineLearningEngine_Resource_Projects');
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