Hello, I am trying to implement my own regularized random forest (RRF) which grows trees in series and selects new features only if they are better than the features used in previous splits.
This is for a research project and I will need to ship the code with the publication. So far I have a working proof of concept where I modified the scikit-learn forest, tree, and splitter modules. But this mean that I need to ship my fork version of scikit-learn. Ideally, I am looking for a way to build my own RRF that uses scikit-learn API instead of modifying it. Is it possible? Thanks. Mickael
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