math.pow

# श्रेणी: TUHH – Machine Learning – Python

## generer permutations binaires

def gen_binary_permutations(n, max_samples=0): perm = [] n_samples = min(len(np.arange(2 * n, 2 * (n + 1))), max_samples) if n_samples > 0: rng = default_rng() if n < 5:p numbers = rng.choice(np.arange(2 *...

## Get a random number between 0.0 and 1.0

random.random()

## Initialize the plot for training

figure_data = init_2D_linear_separation_plot(C_train, NotC_train, p.w, R)

## np.sign renvoie 0 pour 0

y = np.sign(weighted_sum) if y == 0: y = 1

## arcCos numpys

np.arccos

## numpy choix au hasard

default_rgn (rgn.choice)