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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)
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Defines 1 class

regressor:: (3 methods):
  train_regression()
  estimate()
  evaluate_regression()


Interface: regressor  - X-Ref

Regressors interface.

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