Regressors 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: | 71 lines (2 kb) |
Included or required: | 0 times |
Referenced: | 0 times |
Includes or requires: | 0 files |
regressor:: (3 methods):
train_regression()
estimate()
evaluate_regression()
train_regression($uniqueid, \stored_file $dataset, $outputdir) X-Ref |
Train this processor regression model using the provided supervised learning dataset. param: string $uniqueid param: \stored_file $dataset param: string $outputdir return: \stdClass |
estimate($uniqueid, \stored_file $dataset, $outputdir) X-Ref |
Estimates linear values for the provided dataset samples. param: string $uniqueid param: \stored_file $dataset param: mixed $outputdir return: void |
evaluate_regression($uniqueid, $maxdeviation, $niterations, \stored_file $dataset,$outputdir, $trainedmodeldir) X-Ref |
Evaluates this processor regression model using the provided supervised learning dataset. param: string $uniqueid param: float $maxdeviation param: int $niterations param: \stored_file $dataset param: string $outputdir param: string $trainedmodeldir return: \stdClass |