New machine learning package, Julia implementation of XGBoost


I am implementing a new one. I will push up the code once it’s more ready


Have you thought integrating it with DecisionTree.jl to bundle all tree-like ML algorithms?


+1 for integrating with DecisionTree.jl. For me decision trees are a pretty common tool and it would be really nice to have one well-developed package for it (and things related) in Julia.


I am not sure if my implementation is compatible with DecisionTree package


It probably isn’t but there has been some discussion to revamp the internal structure anyways so it’s probably fine if it has benefits and the current API doesn’t need to be changed.