def main(): # 1 X, Y = read_data('case_0.txt') # try to use different datasets clf = train_MLP_classifier(X, Y) report_clf_stats(clf, X, Y) elice_utils.visualize(clf, X, Y)
def main(): (N, X, Y) = read_data() results = do_simple_regression(N, X, Y) elice_utils.visualize(X, Y, results)
def main(): (N, X, Y) = read_data() results = do_simple_regression(N, X, Y) # 3 print(elice_utils.visualize(X, Y, results))