core_analytics\predictor Interface Reference

Predictors interface. More...

Inheritance diagram for core_analytics\predictor:

Public Member Functions
	clear_model ($uniqueid, $modelversionoutputdir)
	Delete all stored information of the current model id.
	delete_output_dir ($modeloutputdir, $uniqueid)
	Delete the output directory.
	is_ready ()
	Is it ready to predict?

Detailed Description

Predictors interface.

Copyright

2016 David Monllao

License

http://www.gnu.org/copyleft/gpl.html GNU GPL v3 or later

Member Function Documentation

clear_model()

core_analytics\predictor::clear_model	(		$uniqueid,
			$modelversionoutputdir )

Delete all stored information of the current model id.

This method is called when there are important changes to a model, all previous training algorithms using that version of the model should be deleted.

In case you want to perform extra security measures before deleting a directory you can check that $modelversionoutputdir subdirectories can only be named 'execution', 'evaluation' or 'testing'.

Parameters

string	$uniqueid	The site model unique id string
string	$modelversionoutputdir	The output dir of this model version

Return values

null

Implemented in mlbackend_php\processor, and mlbackend_python\processor.

delete_output_dir()

core_analytics\predictor::delete_output_dir	(		$modeloutputdir,
			$uniqueid )

Delete the output directory.

This method is called when a model is completely deleted.

In case you want to perform extra security measures before deleting a directory you can check that the subdirectories are timestamps (the model version) and each of this subdirectories' subdirectories can only be named 'execution', 'evaluation' or 'testing'.

Parameters

string	$modeloutputdir	The model directory id (parent of all model versions subdirectories).
string	$uniqueid

Return values

null

Implemented in mlbackend_php\processor, and mlbackend_python\processor.

is_ready()

core_analytics\predictor::is_ready

(

)

Is it ready to predict?

Return values

bool

Implemented in mlbackend_php\processor, and mlbackend_python\processor.

---

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

• analytics/classes/predictor.php