def main():
models = [train_model(make_model(i), i) for i in [0, 1, 2]]
# models = [train_model(make_model(i), i) for i in [0]]
mg = ModelGroup(*models)
# mg.save('../models/full_classifier_retrain_xd_all_0417_noise.dat')
# mg.save('../models/full_classifier_retrain_xd_all_entropy_0430.dat')
# mg.save('../models/full_classifier_retrain_xd_all_gini_0528.dat')
# mg.save('../models/full_classifier_xd_entropy_0528.dat')
# mg.save('../models/full_classifier_xd_reduceMWP_simulation_1025.dat')
# mg.save('../models/full_classifier_xd_only_simulation_1029.dat')
# mg.save('../models/full_classifier_xd_retrain_noise_1030.dat')
mg.save('../models/full_classifier_xd_only_sim_non_noi_1102.dat')
def main():
models = [train_model(make_model(i), i) for i in [0, 1, 2]]
mg = ModelGroup(*models)
mg.save('../models/full_classifier.dat')
