simoid

import mathimport matplotlib.pyplot as pltimport numpy as np def odds(p): """성공확률 / 실패확률""" return p / (1 - p) def log_odds(p): """odds에 log를 취한 값""" return math.log(odds(p)) def sigmoid(t): """logistic: log_odds(odds에 log를 취한 값)을 알고 있을 때, 성공 확률 p를 계산""" return 1 / (1 + math.exp(-t)) p = 0.8print(f'p = {p}, odds(p) = {odds(p)}, log_odds(p) = {log_odds(p)}')p = 0.8, odds(p) = 4.000000000000001, l..