math.pow
Categoría: 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)