runGA: runGA function

In anvelezec/GA:

Description

This function allows you execute a run of GA.

Usage

runGA(Nruns, N, NChrSel, pMutation, pCrossover, yTrain, train, yTest, test)

Arguments

Nruns	Number of runs to execute.
N	Initial population.
NChrSel	Number of chromosomes to select.
pMutation	Mutation probability.
pCrossover	Crossover probability.
yTrain	y values in train dataset.
train	X values in train dataset.
yTest	y values in test dataset.
test	X values in test dataset.

Examples

require(GA)

# Target variable for training
y = dataBalanced$train$target

# Create training feature data frame
trainData = dataBalanced$train[,-1] 

# runGA execution
resulTime = system.time(
  
 resultRunGA <- runGA(Nruns = 1,N = 2,NChrSel = 2,
                      pMutation = 0.05,pCrossover = 0.8,
                      yTrain = y,train = trainData,
                      yTest = y,test = trainData)
)

anvelezec/GA documentation built on May 28, 2019, 5 p.m.