* $predictionService = new apiPredictionService(...); * $trainedmodels = $predictionService->trainedmodels; * */ class TrainedmodelsServiceResource extends apiServiceResource { /** * Submit model id and request a prediction (trainedmodels.predict) * @param string $id The unique name for the predictive model. * @param Input $postBody * @return Output */ public function predict($id, Input $postBody, $optParams = array()) { $params = array('id' => $id, 'postBody' => $postBody); $params = array_merge($params, $optParams); $data = $this->__call('predict', array($params)); if ($this->useObjects()) { return new Output($data); } else { return $data; } } /** * Begin training your model. (trainedmodels.insert) * @param Training $postBody * @return Training */ public function insert(Training $postBody, $optParams = array()) { $params = array('postBody' => $postBody); $params = array_merge($params, $optParams); $data = $this->__call('insert', array($params)); if ($this->useObjects()) { return new Training($data); } else { return $data; } } /** * Check training status of your model. (trainedmodels.get) * @param string $id The unique name for the predictive model. * @return Training */ public function get($id, $optParams = array()) { $params = array('id' => $id); $params = array_merge($params, $optParams); $data = $this->__call('get', array($params)); if ($this->useObjects()) { return new Training($data); } else { return $data; } } /** * Add new data to a trained model. (trainedmodels.update) * @param string $id The unique name for the predictive model. * @param Update $postBody * @return Training */ public function update($id, Update $postBody, $optParams = array()) { $params = array('id' => $id, 'postBody' => $postBody); $params = array_merge($params, $optParams); $data = $this->__call('update', array($params)); if ($this->useObjects()) { return new Training($data); } else { return $data; } } /** * Delete a trained model. (trainedmodels.delete) * @param string $id The unique name for the predictive model. */ public function delete($id, $optParams = array()) { $params = array('id' => $id); $params = array_merge($params, $optParams); $data = $this->__call('delete', array($params)); return $data; } } /** * The "hostedmodels" collection of methods. * Typical usage is: * * $predictionService = new apiPredictionService(...); * $hostedmodels = $predictionService->hostedmodels; * */ class HostedmodelsServiceResource extends apiServiceResource { /** * Submit input and request an output against a hosted model. (hostedmodels.predict) * @param string $hostedModelName The name of a hosted model. * @param Input $postBody * @return Output */ public function predict($hostedModelName, Input $postBody, $optParams = array()) { $params = array('hostedModelName' => $hostedModelName, 'postBody' => $postBody); $params = array_merge($params, $optParams); $data = $this->__call('predict', array($params)); if ($this->useObjects()) { return new Output($data); } else { return $data; } } } /** * Service definition for Prediction (v1.4). *

* Lets you access a cloud hosted machine learning service that makes it easy to build smart apps *

*

* For more information about this service, see the * API Documentation *

* @author Google, Inc. */ class apiPredictionService extends apiService { public $trainedmodels; public $hostedmodels; /** * Constructs the internal representation of the Prediction service. * @param apiClient apiClient */ public function __construct(apiClient $apiClient) { $this->rpcPath = '/rpc'; $this->restBasePath = '/prediction/v1.4/'; $this->version = 'v1.4'; $this->serviceName = 'prediction'; $apiClient->addService($this->serviceName, $this->version); $this->trainedmodels = new TrainedmodelsServiceResource($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"}, "id": "prediction.trainedmodels.predict", "httpMethod": "POST", "path": "trainedmodels/{id}/predict", "response": {"$ref": "Output"}}, "insert": {"scopes": ["https://www.googleapis.com/auth/prediction"], "request": {"$ref": "Training"}, "response": {"$ref": "Training"}, "httpMethod": "POST", "path": "trainedmodels", "id": "prediction.trainedmodels.insert"}, "delete": {"scopes": ["https://www.googleapis.com/auth/prediction"], "parameters": {"id": {"required": true, "type": "string", "location": "path"}}, "httpMethod": "DELETE", "path": "trainedmodels/{id}", "id": "prediction.trainedmodels.delete"}, "update": {"scopes": ["https://www.googleapis.com/auth/prediction"], "parameters": {"id": {"required": true, "type": "string", "location": "path"}}, "request": {"$ref": "Update"}, "id": "prediction.trainedmodels.update", "httpMethod": "PUT", "path": "trainedmodels/{id}", "response": {"$ref": "Training"}}, "get": {"scopes": ["https://www.googleapis.com/auth/prediction"], "parameters": {"id": {"required": true, "type": "string", "location": "path"}}, "id": "prediction.trainedmodels.get", "httpMethod": "GET", "path": "trainedmodels/{id}", "response": {"$ref": "Training"}}}}', true)); $this->hostedmodels = new HostedmodelsServiceResource($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"}, "id": "prediction.hostedmodels.predict", "httpMethod": "POST", "path": "hostedmodels/{hostedModelName}/predict", "response": {"$ref": "Output"}}}}', true)); } } class Input extends apiModel { protected $__inputType = 'InputInput'; protected $__inputDataType = ''; public $input; public function setInput(InputInput $input) { $this->input = $input; } public function getInput() { return $this->input; } } class InputInput extends apiModel { public $csvInstance; public function setCsvInstance(/* array(object) */ $csvInstance) { $this->assertIsArray($csvInstance, 'object', __METHOD__); $this->csvInstance = $csvInstance; } public function getCsvInstance() { return $this->csvInstance; } } class Output extends apiModel { public $kind; public $outputLabel; public $id; protected $__outputMultiType = 'OutputOutputMulti'; protected $__outputMultiDataType = 'array'; public $outputMulti; public $outputValue; public $selfLink; public function setKind($kind) { $this->kind = $kind; } public function getKind() { return $this->kind; } public function setOutputLabel($outputLabel) { $this->outputLabel = $outputLabel; } public function getOutputLabel() { return $this->outputLabel; } public function setId($id) { $this->id = $id; } public function getId() { return $this->id; } public function setOutputMulti(/* array(OutputOutputMulti) */ $outputMulti) { $this->assertIsArray($outputMulti, 'OutputOutputMulti', __METHOD__); $this->outputMulti = $outputMulti; } public function getOutputMulti() { return $this->outputMulti; } public function setOutputValue($outputValue) { $this->outputValue = $outputValue; } public function getOutputValue() { return $this->outputValue; } public function setSelfLink($selfLink) { $this->selfLink = $selfLink; } public function getSelfLink() { return $this->selfLink; } } class OutputOutputMulti extends apiModel { public $score; public $label; public function setScore($score) { $this->score = $score; } public function getScore() { return $this->score; } public function setLabel($label) { $this->label = $label; } public function getLabel() { return $this->label; } } class Training extends apiModel { public $kind; public $storageDataLocation; public $storagePMMLModelLocation; protected $__dataAnalysisType = 'TrainingDataAnalysis'; protected $__dataAnalysisDataType = ''; public $dataAnalysis; public $trainingStatus; protected $__modelInfoType = 'TrainingModelInfo'; protected $__modelInfoDataType = ''; public $modelInfo; public $storagePMMLLocation; public $id; public $selfLink; public $utility; public function setKind($kind) { $this->kind = $kind; } public function getKind() { return $this->kind; } public function setStorageDataLocation($storageDataLocation) { $this->storageDataLocation = $storageDataLocation; } public function getStorageDataLocation() { return $this->storageDataLocation; } public function setStoragePMMLModelLocation($storagePMMLModelLocation) { $this->storagePMMLModelLocation = $storagePMMLModelLocation; } public function getStoragePMMLModelLocation() { return $this->storagePMMLModelLocation; } public function setDataAnalysis(TrainingDataAnalysis $dataAnalysis) { $this->dataAnalysis = $dataAnalysis; } public function getDataAnalysis() { return $this->dataAnalysis; } public function setTrainingStatus($trainingStatus) { $this->trainingStatus = $trainingStatus; } public function getTrainingStatus() { return $this->trainingStatus; } public function setModelInfo(TrainingModelInfo $modelInfo) { $this->modelInfo = $modelInfo; } public function getModelInfo() { return $this->modelInfo; } public function setStoragePMMLLocation($storagePMMLLocation) { $this->storagePMMLLocation = $storagePMMLLocation; } public function getStoragePMMLLocation() { return $this->storagePMMLLocation; } public function setId($id) { $this->id = $id; } public function getId() { return $this->id; } public function setSelfLink($selfLink) { $this->selfLink = $selfLink; } public function getSelfLink() { return $this->selfLink; } public function setUtility(/* array(double) */ $utility) { $this->assertIsArray($utility, 'double', __METHOD__); $this->utility = $utility; } public function getUtility() { return $this->utility; } } class TrainingDataAnalysis extends apiModel { public $warnings; public function setWarnings(/* array(string) */ $warnings) { $this->assertIsArray($warnings, 'string', __METHOD__); $this->warnings = $warnings; } public function getWarnings() { return $this->warnings; } } class TrainingModelInfo extends apiModel { public $confusionMatrixRowTotals; public $numberLabels; public $confusionMatrix; public $meanSquaredError; public $modelType; public $numberInstances; public $classWeightedAccuracy; public $classificationAccuracy; public function setConfusionMatrixRowTotals($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 Update extends apiModel { public $csvInstance; public $label; public function setCsvInstance(/* array(object) */ $csvInstance) { $this->assertIsArray($csvInstance, 'object', __METHOD__); $this->csvInstance = $csvInstance; } public function getCsvInstance() { return $this->csvInstance; } public function setLabel($label) { $this->label = $label; } public function getLabel() { return $this->label; } }