Regression.Integrator.PCR.SelMin.Config-class: Class '"Regression.Integrator.PCR.SelMin.Config"'

In EnsemblePCReg: Extensible Package for Principal-Component-Regression-Based Heterogeneous Ensemble Meta-Learning

Class "Regression.Integrator.PCR.SelMin.Config"

Description

Configuration class for PCR-base integration, where the number of PC's is selected to minimize the cross-validation error of the integrator.

Objects from the Class

Objects can be created by calls of the form new("Regression.Integrator.PCR.SelMin.Config", ...).

Slots

partition:

Object of class "integer", data partition to use for cross-validation selection of optimal PC's in PCR integration. This can be the output of generate.partition.

errfun:

Object of class "function", error function to use for selecting best number of PC's.

Extends

Class "Regression.Integrator.Config", directly.

Methods

Regression.Integrator.Fit

signature(object = "Regression.Integrator.PCR.SelMin.Config"): ...

Author(s)

Mansour T.A. Sharabiani, Alireza S. Mahani

See Also

generate.partition

EnsemblePCReg documentation built on April 19, 2022, 1:06 a.m.