Regression.Select.MinAvgErr.Config-class: Class '"Regression.Select.MinAvgErr.Config"'

In EnsembleCV: Extensible Package for Cross-Validation-Based Integration of Base Learners

Description Objects from the Class Slots Extends Methods Author(s)

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

EnsembleCV documentation built on May 19, 2017, 9:30 a.m.