### Set up java parameter and load rmcfs package
options(java.parameters = "-Xmx4g")
library(rmcfs)
# create input data
adata <- artificial.data(rnd_features = 10)
showme(adata)
# Parametrize and run MCFS-ID procedure
result <- mcfs(class~., adata, cutoffPermutations = 0, featureFreq = 10,
finalCV = FALSE, finalRuleset = FALSE, threadsNumber = 2)
# Export and import R result to/from files
path <- tempdir()
export.result(result, path = path, label = "artificial")
result <- import.result(path = path, label = "artificial")
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