I am trying to find a method to save and load a Random forest model in python.
I tried to use sklearn but the only way to dump and load a model is to use pickle or joblib which is very sensitive to Python version.
I was looking for an implementation of Random forest in python which makes it possible to dump and reuse the trained model.
Any kind of help would be greatly appreciated.