For decision trees, the only thing that's available at the moment is a half-baked ID3 algorithm, but I've been looking at CloudForest and it's a very impressive piece of work.
Performance isn't very good yet: this is due to some data representation decisions, but it now supports grouping attributes which will allow us to optimise to acceptable performance levels (I have a prototype KNN version which achieved similar performance levels to this guy's Rust[1] implementation).
For decision trees, the only thing that's available at the moment is a half-baked ID3 algorithm, but I've been looking at CloudForest and it's a very impressive piece of work.
Performance isn't very good yet: this is due to some data representation decisions, but it now supports grouping attributes which will allow us to optimise to acceptable performance levels (I have a prototype KNN version which achieved similar performance levels to this guy's Rust[1] implementation).
[1] http://huonw.github.io/2014/06/10/knn-rust.html