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ExtraTrees method for Java and R

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- moved maven project to subdirectory - moved R-skeleton to top directory - committed ./build.sh to build inst/java//ExtraTree.jar - commit inst/java//ExtraTree.jar

I'm tryin to do regression with extraTrees, however it's not obvious how to define more than one value for the output for each input. I could not find an example....

In Python's `scikit-learn` the `ExtraTreesClassifier` function returns a numpy array which contains the leaf indices that each sample was assigned to in the forest. I'm trying to get similar information...

feature

How can I get the variable importance matrix (mean decrease in impurity GINI) for all the predictors used to train an extraTrees model. I'm looking into the R package but...

I see that weights are not supported for multitask learning yet, but also that this package looks like it's not actively developed anymore. Is this something that I might be...

Is there any paper reference about this algorithm?