Class "Regression.Select.MinAvgErr.Config"

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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