iflrandevu/src/application/libraries/external/google-api-php-client/contrib/Google_PredictionService.php
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2013-05-17 13:09:10 +00:00

429 lines
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PHP

<?php
/*
* 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.
*/
/**
* The "trainedmodels" collection of methods.
* Typical usage is:
* <code>
* $predictionService = new Google_PredictionService(...);
* $trainedmodels = $predictionService->trainedmodels;
* </code>
*/
class Google_TrainedmodelsServiceResource extends Google_ServiceResource {
/**
* Submit model id and request a prediction (trainedmodels.predict)
*
* @param string $id The unique name for the predictive model.
* @param Google_Input $postBody
* @param array $optParams Optional parameters.
* @return Google_Output
*/
public function predict($id, Google_Input $postBody, $optParams = array()) {
$params = array('id' => $id, 'postBody' => $postBody);
$params = array_merge($params, $optParams);
$data = $this->__call('predict', array($params));
if ($this->useObjects()) {
return new Google_Output($data);
} else {
return $data;
}
}
/**
* Begin training your model. (trainedmodels.insert)
*
* @param Google_Training $postBody
* @param array $optParams Optional parameters.
* @return Google_Training
*/
public function insert(Google_Training $postBody, $optParams = array()) {
$params = array('postBody' => $postBody);
$params = array_merge($params, $optParams);
$data = $this->__call('insert', array($params));
if ($this->useObjects()) {
return new Google_Training($data);
} else {
return $data;
}
}
/**
* Check training status of your model. (trainedmodels.get)
*
* @param string $id The unique name for the predictive model.
* @param array $optParams Optional parameters.
* @return Google_Training
*/
public function get($id, $optParams = array()) {
$params = array('id' => $id);
$params = array_merge($params, $optParams);
$data = $this->__call('get', array($params));
if ($this->useObjects()) {
return new Google_Training($data);
} else {
return $data;
}
}
/**
* Add new data to a trained model. (trainedmodels.update)
*
* @param string $id The unique name for the predictive model.
* @param Google_Update $postBody
* @param array $optParams Optional parameters.
* @return Google_Training
*/
public function update($id, Google_Update $postBody, $optParams = array()) {
$params = array('id' => $id, 'postBody' => $postBody);
$params = array_merge($params, $optParams);
$data = $this->__call('update', array($params));
if ($this->useObjects()) {
return new Google_Training($data);
} else {
return $data;
}
}
/**
* Delete a trained model. (trainedmodels.delete)
*
* @param string $id The unique name for the predictive model.
* @param array $optParams Optional parameters.
*/
public function delete($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:
* <code>
* $predictionService = new Google_PredictionService(...);
* $hostedmodels = $predictionService->hostedmodels;
* </code>
*/
class Google_HostedmodelsServiceResource extends Google_ServiceResource {
/**
* Submit input and request an output against a hosted model. (hostedmodels.predict)
*
* @param string $hostedModelName The name of a hosted model.
* @param Google_Input $postBody
* @param array $optParams Optional parameters.
* @return Google_Output
*/
public function predict($hostedModelName, Google_Input $postBody, $optParams = array()) {
$params = array('hostedModelName' => $hostedModelName, 'postBody' => $postBody);
$params = array_merge($params, $optParams);
$data = $this->__call('predict', array($params));
if ($this->useObjects()) {
return new Google_Output($data);
} else {
return $data;
}
}
}
/**
* Service definition for Google_Prediction (v1.4).
*
* <p>
* Lets you access a cloud hosted machine learning service that makes it easy to build smart apps
* </p>
*
* <p>
* For more information about this service, see the
* <a href="http://code.google.com/apis/predict/docs/developer-guide.html" target="_blank">API Documentation</a>
* </p>
*
* @author Google, Inc.
*/
class Google_PredictionService extends Google_Service {
public $trainedmodels;
public $hostedmodels;
/**
* Constructs the internal representation of the Prediction service.
*
* @param Google_Client $client
*/
public function __construct(Google_Client $client) {
$this->servicePath = 'prediction/v1.4/';
$this->version = 'v1.4';
$this->serviceName = 'prediction';
$client->addService($this->serviceName, $this->version);
$this->trainedmodels = new Google_TrainedmodelsServiceResource($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));
$this->hostedmodels = new Google_HostedmodelsServiceResource($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));
}
}
class Google_Input extends Google_Model {
protected $__inputType = 'Google_InputInput';
protected $__inputDataType = '';
public $input;
public function setInput(Google_InputInput $input) {
$this->input = $input;
}
public function getInput() {
return $this->input;
}
}
class Google_InputInput extends Google_Model {
public $csvInstance;
public function setCsvInstance(/* array(Google_object) */ $csvInstance) {
$this->assertIsArray($csvInstance, 'Google_object', __METHOD__);
$this->csvInstance = $csvInstance;
}
public function getCsvInstance() {
return $this->csvInstance;
}
}
class Google_Output extends Google_Model {
public $kind;
public $outputLabel;
public $id;
protected $__outputMultiType = 'Google_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(Google_OutputOutputMulti) */ $outputMulti) {
$this->assertIsArray($outputMulti, 'Google_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 Google_OutputOutputMulti extends Google_Model {
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 Google_Training extends Google_Model {
public $kind;
public $storageDataLocation;
public $storagePMMLModelLocation;
protected $__dataAnalysisType = 'Google_TrainingDataAnalysis';
protected $__dataAnalysisDataType = '';
public $dataAnalysis;
public $trainingStatus;
protected $__modelInfoType = 'Google_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(Google_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(Google_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(Google_double) */ $utility) {
$this->assertIsArray($utility, 'Google_double', __METHOD__);
$this->utility = $utility;
}
public function getUtility() {
return $this->utility;
}
}
class Google_TrainingDataAnalysis extends Google_Model {
public $warnings;
public function setWarnings(/* array(Google_string) */ $warnings) {
$this->assertIsArray($warnings, 'Google_string', __METHOD__);
$this->warnings = $warnings;
}
public function getWarnings() {
return $this->warnings;
}
}
class Google_TrainingModelInfo extends Google_Model {
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 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;
}
}