def test_simple_regression(self):
r = LinearRegression(order=1, stds=[100, 100, 100, 1000])
coeffs = np.array([1, 10, 100, 1000])
old_value = np.array([0, 0, 0, 0])
for datum_id in range(1000):
value = np.random.uniform(-1000, 1000, 4)
value[0] = np.sum(old_value * coeffs)
old_value = value
r.feed(value)
print("With penalty_range: {0}".format(r.penalty_range))
print()
print(r.ranking[0])
print()
print(r.means)
print(r.stds)
print()
def test_feeding_data(self):
r = LinearRegression(order=2, target_index=0)
r.feed([0, 0, 0, 0])
r.feed([1, 1, 0, 0])
r.feed([2, 0, 1, 0])
r.feed([4, 0, 0, 1])
