Function minmax_normalization

theanoTUT/theano12_regularization/full_code.py:30–34

(data)

def minmax_normalization(data):
    xs_max = np.max(data, axis=0)
    xs_min = np.min(data, axis=0)
    xs = (1 - 0) * (data - xs_min) / (xs_max - xs_min) + 0
    return xs

np.random.seed(100)
x_data = load_boston().data