def train_and_evaluate_xgboost_model(plot_graph=False): data_dict = load_and_split() train_set = data_dict.get('train_set').to_numpy() test_set = data_dict.get('test_set').to_numpy() reg = cross_val_xgboost_model(train_set) test_model(reg, test_set, plot_graph)
def validate_xgboost_model(): data_dict = load_and_split() train_set = data_dict.get('train_set').to_numpy() reg = cross_val_xgboost_model(train_set)