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<?php
/*
* Copyright 2014 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.
*/
/**
* The "trainedmodels" collection of methods.
* Typical usage is:
* <code>
* $predictionService = new Google_Service_Prediction(...);
* $trainedmodels = $predictionService->trainedmodels;
* </code>
*/
class Google_Service_Prediction_Resource_Trainedmodels extends Google_Service_Resource
{
/**
* Get analysis of the model and the data the model was trained on.
* (trainedmodels.analyze)
*
* @param string $project The project associated with the model.
* @param string $id The unique name for the predictive model.
* @param array $optParams Optional parameters.
* @return Google_Service_Prediction_Analyze
*/
public function analyze($project, $id, $optParams = array())
{
$params = array('project' => $project, 'id' => $id);
$params = array_merge($params, $optParams);
return $this->call('analyze', array($params), "Google_Service_Prediction_Analyze");
}
/**
* Delete a trained model. (trainedmodels.delete)
*
* @param string $project The project associated with the model.
* @param string $id The unique name for the predictive model.
* @param array $optParams Optional parameters.
*/
public function delete($project, $id, $optParams = array())
{
$params = array('project' => $project, 'id' => $id);
$params = array_merge($params, $optParams);
return $this->call('delete', array($params));
}
/**
* Check training status of your model. (trainedmodels.get)
*
* @param string $project The project associated with the model.
* @param string $id The unique name for the predictive model.
* @param array $optParams Optional parameters.
* @return Google_Service_Prediction_Insert2
*/
public function get($project, $id, $optParams = array())
{
$params = array('project' => $project, 'id' => $id);
$params = array_merge($params, $optParams);
return $this->call('get', array($params), "Google_Service_Prediction_Insert2");
}
/**
* Train a Prediction API model. (trainedmodels.insert)
*
* @param string $project The project associated with the model.
* @param Google_Service_Prediction_Insert $postBody
* @param array $optParams Optional parameters.
* @return Google_Service_Prediction_Insert2
*/
public function insert($project, Google_Service_Prediction_Insert $postBody, $optParams = array())
{
$params = array('project' => $project, 'postBody' => $postBody);
$params = array_merge($params, $optParams);
return $this->call('insert', array($params), "Google_Service_Prediction_Insert2");
}
/**
* List available models. (trainedmodels.listTrainedmodels)
*
* @param string $project The project associated with the model.
* @param array $optParams Optional parameters.
*
* @opt_param string maxResults Maximum number of results to return.
* @opt_param string pageToken Pagination token.
* @return Google_Service_Prediction_PredictionList
*/
public function listTrainedmodels($project, $optParams = array())
{
$params = array('project' => $project);
$params = array_merge($params, $optParams);
return $this->call('list', array($params), "Google_Service_Prediction_PredictionList");
}
/**
* Submit model id and request a prediction. (trainedmodels.predict)
*
* @param string $project The project associated with the model.
* @param string $id The unique name for the predictive model.
* @param Google_Service_Prediction_Input $postBody
* @param array $optParams Optional parameters.
* @return Google_Service_Prediction_Output
*/
public function predict($project, $id, Google_Service_Prediction_Input $postBody, $optParams = array())
{
$params = array('project' => $project, 'id' => $id, 'postBody' => $postBody);
$params = array_merge($params, $optParams);
return $this->call('predict', array($params), "Google_Service_Prediction_Output");
}
/**
* Add new data to a trained model. (trainedmodels.update)
*
* @param string $project The project associated with the model.
* @param string $id The unique name for the predictive model.
* @param Google_Service_Prediction_Update $postBody
* @param array $optParams Optional parameters.
* @return Google_Service_Prediction_Insert2
*/
public function update($project, $id, Google_Service_Prediction_Update $postBody, $optParams = array())
{
$params = array('project' => $project, 'id' => $id, 'postBody' => $postBody);
$params = array_merge($params, $optParams);
return $this->call('update', array($params), "Google_Service_Prediction_Insert2");
}
}
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