430 lines
14 KiB
PHP
430 lines
14 KiB
PHP
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<?php
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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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/**
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* The "trainedmodels" collection of methods.
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* Typical usage is:
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* <code>
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* $predictionService = new Google_PredictionService(...);
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* $trainedmodels = $predictionService->trainedmodels;
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* </code>
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*/
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class Google_TrainedmodelsServiceResource extends Google_ServiceResource {
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/**
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* Submit model id and request a prediction (trainedmodels.predict)
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*
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* @param string $id The unique name for the predictive model.
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* @param Google_Input $postBody
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* @param array $optParams Optional parameters.
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* @return Google_Output
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*/
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public function predict($id, Google_Input $postBody, $optParams = array()) {
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$params = array('id' => $id, 'postBody' => $postBody);
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$params = array_merge($params, $optParams);
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$data = $this->__call('predict', array($params));
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if ($this->useObjects()) {
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return new Google_Output($data);
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} else {
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return $data;
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}
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}
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/**
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* Begin training your model. (trainedmodels.insert)
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*
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* @param Google_Training $postBody
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* @param array $optParams Optional parameters.
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* @return Google_Training
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*/
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public function insert(Google_Training $postBody, $optParams = array()) {
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$params = array('postBody' => $postBody);
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$params = array_merge($params, $optParams);
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$data = $this->__call('insert', array($params));
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if ($this->useObjects()) {
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return new Google_Training($data);
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} else {
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return $data;
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}
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}
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/**
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* Check training status of your model. (trainedmodels.get)
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*
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* @param string $id The unique name for the predictive model.
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* @param array $optParams Optional parameters.
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* @return Google_Training
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*/
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public function get($id, $optParams = array()) {
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$params = array('id' => $id);
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$params = array_merge($params, $optParams);
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$data = $this->__call('get', array($params));
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if ($this->useObjects()) {
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return new Google_Training($data);
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} else {
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return $data;
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}
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}
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/**
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* Add new data to a trained model. (trainedmodels.update)
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*
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* @param string $id The unique name for the predictive model.
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* @param Google_Update $postBody
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* @param array $optParams Optional parameters.
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* @return Google_Training
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*/
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public function update($id, Google_Update $postBody, $optParams = array()) {
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$params = array('id' => $id, 'postBody' => $postBody);
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$params = array_merge($params, $optParams);
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$data = $this->__call('update', array($params));
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if ($this->useObjects()) {
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return new Google_Training($data);
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} else {
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return $data;
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}
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}
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/**
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* Delete a trained model. (trainedmodels.delete)
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*
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* @param string $id The unique name for the predictive model.
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* @param array $optParams Optional parameters.
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*/
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public function delete($id, $optParams = array()) {
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$params = array('id' => $id);
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$params = array_merge($params, $optParams);
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$data = $this->__call('delete', array($params));
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return $data;
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}
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}
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/**
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* The "hostedmodels" collection of methods.
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* Typical usage is:
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* <code>
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* $predictionService = new Google_PredictionService(...);
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* $hostedmodels = $predictionService->hostedmodels;
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* </code>
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*/
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class Google_HostedmodelsServiceResource extends Google_ServiceResource {
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/**
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* Submit input and request an output against a hosted model. (hostedmodels.predict)
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*
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* @param string $hostedModelName The name of a hosted model.
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* @param Google_Input $postBody
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* @param array $optParams Optional parameters.
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* @return Google_Output
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*/
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public function predict($hostedModelName, Google_Input $postBody, $optParams = array()) {
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$params = array('hostedModelName' => $hostedModelName, 'postBody' => $postBody);
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$params = array_merge($params, $optParams);
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$data = $this->__call('predict', array($params));
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if ($this->useObjects()) {
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return new Google_Output($data);
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} else {
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return $data;
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}
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}
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}
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/**
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* Service definition for Google_Prediction (v1.4).
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*
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* <p>
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* Lets you access a cloud hosted machine learning service that makes it easy to build smart apps
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* </p>
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*
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* <p>
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* For more information about this service, see the
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* <a href="http://code.google.com/apis/predict/docs/developer-guide.html" target="_blank">API Documentation</a>
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* </p>
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*
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* @author Google, Inc.
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*/
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class Google_PredictionService extends Google_Service {
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public $trainedmodels;
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public $hostedmodels;
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/**
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* Constructs the internal representation of the Prediction service.
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*
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* @param Google_Client $client
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*/
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public function __construct(Google_Client $client) {
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$this->servicePath = 'prediction/v1.4/';
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$this->version = 'v1.4';
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$this->serviceName = 'prediction';
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$client->addService($this->serviceName, $this->version);
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$this->trainedmodels = new Google_TrainedmodelsServiceResource($this, $this->serviceName, 'trainedmodels', json_decode('{"methods": {"predict": {"scopes": ["https://www.googleapis.com/auth/prediction"], "parameters": {"id": {"required": true, "type": "string", "location": "path"}}, "request": {"$ref": "Input"}, "response": {"$ref": "Output"}, "httpMethod": "POST", "path": "trainedmodels/{id}/predict", "id": "prediction.trainedmodels.predict"}, "insert": {"scopes": ["https://www.googleapis.com/auth/devstorage.read_only", "https://www.googleapis.com/auth/prediction"], "request": {"$ref": "Training"}, "response": {"$ref": "Training"}, "httpMethod": "POST", "path": "trainedmodels", "id": "prediction.trainedmodels.insert"}, "get": {"scopes": ["https://www.googleapis.com/auth/prediction"], "parameters": {"id": {"required": true, "type": "string", "location": "path"}}, "id": "prediction.trainedmodels.get", "httpMethod": "GET", "path": "trainedmodels/{id}", "response": {"$ref": "Training"}}, "update": {"scopes": ["https://www.googleapis.com/auth/prediction"], "parameters": {"id": {"required": true, "type": "string", "location": "path"}}, "request": {"$ref": "Update"}, "response": {"$ref": "Training"}, "httpMethod": "PUT", "path": "trainedmodels/{id}", "id": "prediction.trainedmodels.update"}, "delete": {"scopes": ["https://www.googleapis.com/auth/prediction"], "path": "trainedmodels/{id}", "id": "prediction.trainedmodels.delete", "parameters": {"id": {"required": true, "type": "string", "location": "path"}}, "httpMethod": "DELETE"}}}', true));
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$this->hostedmodels = new Google_HostedmodelsServiceResource($this, $this->serviceName, 'hostedmodels', json_decode('{"methods": {"predict": {"scopes": ["https://www.googleapis.com/auth/prediction"], "parameters": {"hostedModelName": {"required": true, "type": "string", "location": "path"}}, "request": {"$ref": "Input"}, "response": {"$ref": "Output"}, "httpMethod": "POST", "path": "hostedmodels/{hostedModelName}/predict", "id": "prediction.hostedmodels.predict"}}}', true));
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}
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}
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class Google_Input extends Google_Model {
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protected $__inputType = 'Google_InputInput';
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protected $__inputDataType = '';
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public $input;
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public function setInput(Google_InputInput $input) {
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$this->input = $input;
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}
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public function getInput() {
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return $this->input;
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}
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}
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class Google_InputInput extends Google_Model {
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public $csvInstance;
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public function setCsvInstance(/* array(Google_object) */ $csvInstance) {
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$this->assertIsArray($csvInstance, 'Google_object', __METHOD__);
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$this->csvInstance = $csvInstance;
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}
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public function getCsvInstance() {
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return $this->csvInstance;
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}
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}
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class Google_Output extends Google_Model {
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public $kind;
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public $outputLabel;
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public $id;
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protected $__outputMultiType = 'Google_OutputOutputMulti';
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protected $__outputMultiDataType = 'array';
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public $outputMulti;
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public $outputValue;
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public $selfLink;
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public function setKind($kind) {
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$this->kind = $kind;
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}
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public function getKind() {
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return $this->kind;
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}
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public function setOutputLabel($outputLabel) {
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$this->outputLabel = $outputLabel;
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}
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public function getOutputLabel() {
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return $this->outputLabel;
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}
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public function setId($id) {
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$this->id = $id;
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}
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public function getId() {
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return $this->id;
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}
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public function setOutputMulti(/* array(Google_OutputOutputMulti) */ $outputMulti) {
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$this->assertIsArray($outputMulti, 'Google_OutputOutputMulti', __METHOD__);
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$this->outputMulti = $outputMulti;
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}
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public function getOutputMulti() {
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return $this->outputMulti;
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}
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public function setOutputValue($outputValue) {
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$this->outputValue = $outputValue;
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}
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public function getOutputValue() {
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return $this->outputValue;
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}
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public function setSelfLink($selfLink) {
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$this->selfLink = $selfLink;
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}
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public function getSelfLink() {
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return $this->selfLink;
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}
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}
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class Google_OutputOutputMulti extends Google_Model {
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public $score;
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public $label;
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public function setScore($score) {
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$this->score = $score;
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}
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public function getScore() {
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return $this->score;
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}
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public function setLabel($label) {
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$this->label = $label;
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}
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public function getLabel() {
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return $this->label;
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}
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}
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class Google_Training extends Google_Model {
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public $kind;
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public $storageDataLocation;
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public $storagePMMLModelLocation;
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protected $__dataAnalysisType = 'Google_TrainingDataAnalysis';
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protected $__dataAnalysisDataType = '';
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public $dataAnalysis;
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public $trainingStatus;
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protected $__modelInfoType = 'Google_TrainingModelInfo';
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protected $__modelInfoDataType = '';
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public $modelInfo;
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public $storagePMMLLocation;
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public $id;
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public $selfLink;
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public $utility;
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public function setKind($kind) {
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$this->kind = $kind;
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}
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public function getKind() {
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return $this->kind;
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}
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public function setStorageDataLocation($storageDataLocation) {
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$this->storageDataLocation = $storageDataLocation;
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}
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public function getStorageDataLocation() {
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return $this->storageDataLocation;
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}
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public function setStoragePMMLModelLocation($storagePMMLModelLocation) {
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$this->storagePMMLModelLocation = $storagePMMLModelLocation;
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}
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public function getStoragePMMLModelLocation() {
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return $this->storagePMMLModelLocation;
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}
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public function setDataAnalysis(Google_TrainingDataAnalysis $dataAnalysis) {
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$this->dataAnalysis = $dataAnalysis;
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}
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public function getDataAnalysis() {
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return $this->dataAnalysis;
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}
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public function setTrainingStatus($trainingStatus) {
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$this->trainingStatus = $trainingStatus;
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}
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public function getTrainingStatus() {
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return $this->trainingStatus;
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}
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public function setModelInfo(Google_TrainingModelInfo $modelInfo) {
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$this->modelInfo = $modelInfo;
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}
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public function getModelInfo() {
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return $this->modelInfo;
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}
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public function setStoragePMMLLocation($storagePMMLLocation) {
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$this->storagePMMLLocation = $storagePMMLLocation;
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}
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public function getStoragePMMLLocation() {
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return $this->storagePMMLLocation;
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}
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public function setId($id) {
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$this->id = $id;
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}
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public function getId() {
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return $this->id;
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}
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public function setSelfLink($selfLink) {
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$this->selfLink = $selfLink;
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}
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public function getSelfLink() {
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return $this->selfLink;
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}
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public function setUtility(/* array(Google_double) */ $utility) {
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$this->assertIsArray($utility, 'Google_double', __METHOD__);
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$this->utility = $utility;
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}
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public function getUtility() {
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return $this->utility;
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}
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}
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class Google_TrainingDataAnalysis extends Google_Model {
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public $warnings;
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public function setWarnings(/* array(Google_string) */ $warnings) {
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$this->assertIsArray($warnings, 'Google_string', __METHOD__);
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$this->warnings = $warnings;
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}
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public function getWarnings() {
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return $this->warnings;
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}
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}
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class Google_TrainingModelInfo extends Google_Model {
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public $confusionMatrixRowTotals;
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public $numberLabels;
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public $confusionMatrix;
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public $meanSquaredError;
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public $modelType;
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public $numberInstances;
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public $classWeightedAccuracy;
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public $classificationAccuracy;
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public function setConfusionMatrixRowTotals($confusionMatrixRowTotals) {
|
||
|
|
$this->confusionMatrixRowTotals = $confusionMatrixRowTotals;
|
||
|
|
}
|
||
|
|
public function getConfusionMatrixRowTotals() {
|
||
|
|
return $this->confusionMatrixRowTotals;
|
||
|
|
}
|
||
|
|
public function setNumberLabels($numberLabels) {
|
||
|
|
$this->numberLabels = $numberLabels;
|
||
|
|
}
|
||
|
|
public function getNumberLabels() {
|
||
|
|
return $this->numberLabels;
|
||
|
|
}
|
||
|
|
public function setConfusionMatrix($confusionMatrix) {
|
||
|
|
$this->confusionMatrix = $confusionMatrix;
|
||
|
|
}
|
||
|
|
public function getConfusionMatrix() {
|
||
|
|
return $this->confusionMatrix;
|
||
|
|
}
|
||
|
|
public function setMeanSquaredError($meanSquaredError) {
|
||
|
|
$this->meanSquaredError = $meanSquaredError;
|
||
|
|
}
|
||
|
|
public function getMeanSquaredError() {
|
||
|
|
return $this->meanSquaredError;
|
||
|
|
}
|
||
|
|
public function setModelType($modelType) {
|
||
|
|
$this->modelType = $modelType;
|
||
|
|
}
|
||
|
|
public function getModelType() {
|
||
|
|
return $this->modelType;
|
||
|
|
}
|
||
|
|
public function setNumberInstances($numberInstances) {
|
||
|
|
$this->numberInstances = $numberInstances;
|
||
|
|
}
|
||
|
|
public function getNumberInstances() {
|
||
|
|
return $this->numberInstances;
|
||
|
|
}
|
||
|
|
public function setClassWeightedAccuracy($classWeightedAccuracy) {
|
||
|
|
$this->classWeightedAccuracy = $classWeightedAccuracy;
|
||
|
|
}
|
||
|
|
public function getClassWeightedAccuracy() {
|
||
|
|
return $this->classWeightedAccuracy;
|
||
|
|
}
|
||
|
|
public function setClassificationAccuracy($classificationAccuracy) {
|
||
|
|
$this->classificationAccuracy = $classificationAccuracy;
|
||
|
|
}
|
||
|
|
public function getClassificationAccuracy() {
|
||
|
|
return $this->classificationAccuracy;
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
class Google_Update extends Google_Model {
|
||
|
|
public $csvInstance;
|
||
|
|
public $label;
|
||
|
|
public function setCsvInstance(/* array(Google_object) */ $csvInstance) {
|
||
|
|
$this->assertIsArray($csvInstance, 'Google_object', __METHOD__);
|
||
|
|
$this->csvInstance = $csvInstance;
|
||
|
|
}
|
||
|
|
public function getCsvInstance() {
|
||
|
|
return $this->csvInstance;
|
||
|
|
}
|
||
|
|
public function setLabel($label) {
|
||
|
|
$this->label = $label;
|
||
|
|
}
|
||
|
|
public function getLabel() {
|
||
|
|
return $this->label;
|
||
|
|
}
|
||
|
|
}
|