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
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