mirror of
https://bitbucket.org/jsuto/piler.git
synced 2025-06-13 09:27:04 +02:00
added google xoauth2 support + fixed a journaling issue
This commit is contained in:
SJ
431
webui/google-api/contrib/apiPredictionService.php
Normal file
431
webui/google-api/contrib/apiPredictionService.php
Normal file
@ -0,0 +1,431 @@
|
||||
<?php
|
||||
/*
|
||||
* Copyright (c) 2010 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.
|
||||
*/
|
||||
|
||||
require_once 'service/apiModel.php';
|
||||
require_once 'service/apiService.php';
|
||||
require_once 'service/apiServiceRequest.php';
|
||||
|
||||
|
||||
/**
|
||||
* The "trainedmodels" collection of methods.
|
||||
* Typical usage is:
|
||||
* <code>
|
||||
* $predictionService = new apiPredictionService(...);
|
||||
* $trainedmodels = $predictionService->trainedmodels;
|
||||
* </code>
|
||||
*/
|
||||
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:
|
||||
* <code>
|
||||
* $predictionService = new apiPredictionService(...);
|
||||
* $hostedmodels = $predictionService->hostedmodels;
|
||||
* </code>
|
||||
*/
|
||||
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).
|
||||
*
|
||||
* <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 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;
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user