Regression.Select.MinAvgErr.Config-class {EnsembleCV} | R Documentation |
Class "Regression.Select.MinAvgErr.Config"
Description
Configuration class for the "MinAvgErr" specialization of the "Regression.Select.Fit" operation in EnsembleBase package. This operation selects the base learner configuration with minimum average error across repeated cross-validation runs.
Objects from the Class
Objects can be created by calls of the form new("Regression.Select.MinAvgErr.Config", ...)
.
Slots
instance.list
:Object of class
Instance.List
, containing a list of base learners to train.errfun
:Object of class
"function"
, the error metric to use for ranking base learner performances.
Extends
Class "Regression.Select.Config"
, directly.
Methods
- Regression.Select.Fit
signature(object = "Regression.Select.MinAvgErr.Config")
: ...
Author(s)
Mansour T.A. Sharabiani, Alireza S. Mahani
[Package EnsembleCV version 0.8 Index]