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# Copyright (C) Kevin R. Coombes, 2007-2013
# random forest
learnRF <- function(data, status, params, pfun) {
tdata <- data.frame(Stat=status, t(data))
model <- randomForest(Stat ~ ., data=tdata)
FittedModel(pfun, data, status,
details=list(model=model))
}
predictRF <- function(newdata, details, status, ...) {
predict(details$model, t(newdata), ...)
}
modelerRF <- Modeler(learnRF, predictRF)
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