Hi, Rares, > I am looking at VotingClassifier but it seems that it is expected that the > estimators are fitted when VotingClassifier.fit() is called. I don't see how > I can have already fitted classifiers combined under a VotingClassifier.
I think the opposite is true: The classifiers provided via an `estimators` argument upon initialization will be cloned and fitted if you call VotingClassifier's fit(). Based on your follow-up question, I think you meant "it is expected that the estimators are *not* fitted when VotingClassifier.fit() is called," right?! > I don't see how I can have already fitted classifiers combined under a > VotingClassifier. The VotingClassifier in scikit-learn is based on the EnsembleVoteClassifier I had implemented in mlxtend (http://rasbt.github.io/mlxtend/user_guide/classifier/EnsembleVoteClassifier/#api). While I generally recommend using the VotingClassifier in scikit-learn, the code base of EnsembleVoteClassifier should be quite similar, and I have added a `refit` param which can be set to True or False. If refit=True, it's the same behavior as in sklearn. If refit=False, however, it will not refit the estimators and will allow you to use pre-fit classifiers, which is what you are asking for, I think? @scikit-learn devs: Not sure if such a parameter should be added to scikit-learn's VotingClassifier as it may cause some weird behavior in GridSearch etc? Otherwise, I am happy to add an issue or submit a PR to discuss/work on this further :) Best, Sebastian > On Oct 1, 2017, at 6:53 PM, Rares Vernica <rvern...@gmail.com> wrote: > > Hello, > > I have a distributed setup where subsets of the data is available at > different hosts. I plan to have each host fit a model with the subset of the > data it owns. Once these individual models are fitted, how can I go about and > combine them under one model. > > I don't have a preference on a specific algorithm, but I am looking into a > classification problem. > > I am looking at VotingClassifier but it seems that it is expected that the > estimators are fitted when VotingClassifier.fit() is called. I don't see how > I can have already fitted classifiers combined under a VotingClassifier. > > Thanks! > Rares > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
