Function get_data

supervised_class/perceptron.py:16–21

()

def get_data():
    w = np.array([-0.5, 0.5])
    b = 0.1
    X = np.random.random((300, 2))*2 - 1
    Y = np.sign(X.dot(w) + b)
    return X, Y


def get_simple_xor():