QuaPy/BayesianKDEy/prior_effect.py

11 lines
147 B
Python

import numpy as np
n = 3
p = 0.5
alpha = [p] + [(1.-p)/(n-1)]*(n-1)
alpha = np.array(alpha)
for c in [1_000, 5_000, 10_000]:
print(alpha*c)