Training and Testing for a large number of ML models in one go.
Project description
** EasyMLSelector A class for training and testing many models found in sklearn. Training and Testing for a large number of ML models in one go.
*** Don't know what kind of model is going to best suit your data? from EasyMLSelector import EasyMLSelector
*** It's as easy as taking your X and y data and using these 2 commands M = EasyMLSelector(type_filter="regressor", Xy_tuple=(X,y)) M.model_loop()
**** Then toy around with the best performing model: M.test_best() M.best_model
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