modelSelection: Function used to evaluate a fitness function in many...

In galgo: Genetic Algorithms for Multivariate Statistical Models from Large-Scale Functional Genomics Data

Description

Function used to evaluate a fitness function in many train-test sets

Usage

modelSelection(chr, 
	parent, 
	splits=1:length(parent$data$splitTrain), 
	set=parent$data$testErrorWeights)

Arguments

chr	Chromosome or vector object.
parent	Parent object, commonly BigBang object.
splits	Which sets of splits will be used to compute the fitness function. Default to all splits defined in parent$data$splitTrain.
set	Weigths used in training and test sets. Vector of two values. The first is the weight of train error. The second is the weight of test error. The default value is taken from parent$data$testErrorWeights whose default is c(0,1) (considering only test error).

Value

A vector with the fitness computed for each split weighted according to set parameter.

Note

This function is designed to be used in forwardSelectionModels

Author(s)

Victor Trevino. Francesco Falciani Group. University of Birmingham, U.K.

See Also

forwardSelectionModels.BigBang, classPrediction, fitness, configBB.VarSel

galgo documentation built on May 2, 2019, 4:20 a.m.