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))
