Google_Service_Prediction_Trainedmodels_Resource Class Reference

The "trainedmodels" collection of methods. More...

Inheritance diagram for Google_Service_Prediction_Trainedmodels_Resource:

Public Member Functions
	analyze ($project, $id, $optParams=array())
	Get analysis of the model and the data the model was trained on.
	call ($name, $arguments, $expected_class=null)
	TODO: This function needs simplifying.
	delete ($project, $id, $optParams=array())
	Delete a trained model.
	get ($project, $id, $optParams=array())
	Check training status of your model.
	insert ($project, Google_Service_Prediction_Insert $postBody, $optParams=array())
	Train a Prediction API model.
	listTrainedmodels ($project, $optParams=array())
	List available models.
	predict ($project, $id, Google_Service_Prediction_Input $postBody, $optParams=array())
	Submit model id and request a prediction.
	update ($project, $id, Google_Service_Prediction_Update $postBody, $optParams=array())
	Add new data to a trained model.

Protected Member Functions
	convertToArrayAndStripNulls ($o)

Detailed Description

The "trainedmodels" collection of methods.

Typical usage is: $predictionService = new Google_Service_Prediction(...); $trainedmodels = $predictionService->trainedmodels;

Member Function Documentation

analyze()

Google_Service_Prediction_Trainedmodels_Resource::analyze	(		$project,
			$id,
			$optParams = array() )

Get analysis of the model and the data the model was trained on.

(trainedmodels.analyze)

Parameters

string	$project	The project associated with the model.
string	$id	The unique name for the predictive model.
array	$optParams	Optional parameters.

Return values

Google_Service_Prediction_Analyze

call()

Google_Service_Resource::call ( $name, $arguments, $expected_class = null )

inherited

TODO: This function needs simplifying.

Parameters

$name
$arguments
$expected_class	- optional, the expected class name

Return values

Google_Http_Request|expected_class

Exceptions

Google_Exception

delete()

Google_Service_Prediction_Trainedmodels_Resource::delete	(		$project,
			$id,
			$optParams = array() )

Delete a trained model.

(trainedmodels.delete)

Parameters

string	$project	The project associated with the model.
string	$id	The unique name for the predictive model.
array	$optParams	Optional parameters.

get()

Google_Service_Prediction_Trainedmodels_Resource::get	(		$project,
			$id,
			$optParams = array() )

Check training status of your model.

(trainedmodels.get)

Parameters

string	$project	The project associated with the model.
string	$id	The unique name for the predictive model.
array	$optParams	Optional parameters.

Return values

Google_Service_Prediction_Insert2

insert()

Google_Service_Prediction_Trainedmodels_Resource::insert	(		$project,
		Google_Service_Prediction_Insert	$postBody,
			$optParams = array() )

Train a Prediction API model.

(trainedmodels.insert)

Parameters

string	$project	The project associated with the model.
Google_Insert	$postBody
array	$optParams	Optional parameters.

Return values

Google_Service_Prediction_Insert2

listTrainedmodels()

Google_Service_Prediction_Trainedmodels_Resource::listTrainedmodels	(		$project,
			$optParams = array() )

List available models.

(trainedmodels.listTrainedmodels)

Parameters

string	$project	The project associated with the model.
array	$optParams	Optional parameters.

@opt_param string pageToken Pagination token. @opt_param string maxResults Maximum number of results to return.

Return values

Google_Service_Prediction_PredictionList

predict()

Google_Service_Prediction_Trainedmodels_Resource::predict	(		$project,
			$id,
		Google_Service_Prediction_Input	$postBody,
			$optParams = array() )

Submit model id and request a prediction.

(trainedmodels.predict)

Parameters

string	$project	The project associated with the model.
string	$id	The unique name for the predictive model.
Google_Input	$postBody
array	$optParams	Optional parameters.

Return values

Google_Service_Prediction_Output

update()

Google_Service_Prediction_Trainedmodels_Resource::update	(		$project,
			$id,
		Google_Service_Prediction_Update	$postBody,
			$optParams = array() )

Add new data to a trained model.

(trainedmodels.update)

Parameters

string	$project	The project associated with the model.
string	$id	The unique name for the predictive model.
Google_Update	$postBody
array	$optParams	Optional parameters.

Return values

Google_Service_Prediction_Insert2

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The documentation for this class was generated from the following file:

• lib/google/src/Google/Service/Prediction.php