hute37 / extraTrees

ExtraTrees method for Java and R

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extraTrees

ExtraTrees method for Java and R. ExtraTrees trains an ensemble of binary decision trees for classification and regression. ExtraTrees is very closely related to RandomForest.

The software is available in R (2.15.2 and up).

## Installing:
install.packages("extraTrees")

## Loading ExtraTrees:
library("extraTrees")

## Generating artificial data:
n <- 1000  ## number of samples
p <- 5     ## number of dimensions
## x - inputs
## y - outputs to predict
x <- matrix(runif(n*p), n, p)
y <- (x[,1]>0.5) + 0.8*(x[,2]>0.6) + 0.5*(x[,3]>0.4) +
     0.1*runif(nrow(x))

## Training and predicting with ExtraTrees:
et <- extraTrees(x, y)
yhat <- predict(et, x)

Development setup

For Java development checkout the git repository and follow development.md.

About

ExtraTrees method for Java and R

License:Apache License 2.0


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Language:Java 71.5%Language:R 28.3%Language:Shell 0.3%