Predictions processor interface.
Copyright: | 2017 David Monllao {@link http://www.davidmonllao.com} |
License: | http://www.gnu.org/copyleft/gpl.html GNU GPL v3 or later |
File Size: | 78 lines (3 kb) |
Included or required: | 0 times |
Referenced: | 0 times |
Includes or requires: | 0 files |
predictor:: (3 methods):
is_ready()
clear_model()
delete_output_dir()
is_ready() X-Ref |
Is it ready to predict? return: bool |
clear_model($uniqueid, $modelversionoutputdir) X-Ref |
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'. param: string $uniqueid The site model unique id string param: string $modelversionoutputdir The output dir of this model version return: null |
delete_output_dir($modeloutputdir, $uniqueid) X-Ref |
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'. param: string $modeloutputdir The model directory id (parent of all model versions subdirectories). param: string $uniqueid return: null |