QuaPy/BayesianKDEy/error_expected.py

9 lines
268 B
Python

import quapy as qp
from quapy.error import mae
import quapy.functional as F
for n in range(2,100,5):
a = F.uniform_prevalence_sampling(n_classes=n, size=10_000)
b = F.uniform_prevalence_sampling(n_classes=n, size=10_000)
print(f'{n=} ae={mae(a, b):.5f}')