Toolkit for creating and optimizing an arbitrary ensemble of sklearn models.

sklearn only supports ensembles of a single classifier type, with a single set of parameters. I made this package to allow creating ensembles of multiple types of models, or the same model but with different model parameters. Since this represents a very large optimization space (model weights, model parameters), it is bundled with a simple genetic algorithm code to allow for global optimization over a very large parameter space.

Still under active development. Currently only an EnsembleRegressor is working, but an EnsembleClassifier and EnsembleCluster is coming. The genetic algorithm code is also working, but has not been integrated for actual model optimization yet. Work can also still be done to improve the performance of GA.