Hello Everybody, I was looking for a Random Subspace implementation and found only a Random Forest. Correct me if I'm wrong but the Random Subspace is a generalization of the Random Forest (it works with classifiers not based on decision tree).
Is there any implementation of Random Subspace available? If not, is it worth including into sklearn? And should this replace the random forest (Random Forest would use inheritance)? PS: I just started working with Classifier Ensemble, so, I'm sorry if I wrote something wrong here, just started reading the Kuncheva book (btw, any other suggestion is welcome). Thanks, -- *Dayvid Victor R. de Oliveira* PhD Candidate in Computer Science at Federal University of Pernambuco (UFPE) MSc in Computer Science at Federal University of Pernambuco (UFPE) BSc in Computer Engineering - Federal University of Pernambuco (UFPE)
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