Hi everyone, I've been having a go at Julia the past couple of weeks and am really enjoying it! Anyway, I'm developing a heterogeneous ensemble learning library called Orchestra, of which you can find here (also in METADATA.jl as Orchestra): https://github.com/svs14/Orchestra.jl
It wraps around existing machine learning packages in Julia (at the moment DecisionTree.jl + LIBSVM.jl), while also providing ensemble learners such as stacking. I'd be happy to integrate more. There's a long way to go, currently it has been tested for classification tasks with numeric features and nominal labels. I'd also like to (if it's not unbelievably difficult!) integrate Python's scikit-learn and R's caret machine learners in the near future, that would be extreme! Have a look if it interests you! Sam
