import predictor_knn as knn import utilitaires as util import best_formula as bf func_train = util.adaptData func_test = util.adaptData param = util.getParam() model = knn.model_knn if __name__ == '__main__': bf.best_formula(func_train,func_test,param,model)
import predictor_reglog as rlg import utilitaires as util import best_formula as bf param = util.getParam() model = rlg.model_reglog if __name__ == '__main__': bf.best_formula(param, model)