Ryan Bressler

An issue with the second approach is that it relies on a chi-squared test of the tree predictions for the permutated and unpermutated case so you are still doing significance...

The other ACE paper [Feature Selection with Ensembles, Artificial Variables and Redundancy Elimination](http://www.researchgate.net/publication/220320233_Feature_Selection_with_Ensembles_Artificial_Variables_and_Redundancy_Elimination/file/d912f5058a153a8b35.pdf) uses a different method. Forests don't depend on the previous one and a student's t test is...

P values aren't calculated yet. Just variable importance as described in the readme: https://github.com/ryanbressler/CloudForest#importance-and-contrasts This is a measure of how important each variable is to the predictor and not something...

No vet is an internal method and takes no parameters. I'm not aware of a way to specify feature weights going into a random forest. Since it does its own...

This is another paper that uses iterative feature selection: http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1002956 It depends on pairwise correlation and network partitioning and each forest/iteration reweighs network modules and features.

It looks like applyforest thinks you're doing classification (it uses a stupid method to guess) and is trying to treat you're target feature as categorical. You can give it the...

@mhfzsharmin. Your prams don't make sense...l1 and ordinal are regression methods and not compatible with gradient boosting. Also since it is erroring at test time you may just be able...

Gradient boosting can be used with (binary) classification but you have to use it with the sum and expit options in applyforest IIRC. 6 has no special meaning in the...

Multi class classification works with the standard gini impurity random forest and the -entropy option. Gradient Boosting boosting relies on the gradient of the logistic loss function which is intrinsically...

Libsvm file format has been requested here: https://github.com/ryanbressler/CloudForest/issues/31