metrics.py 文件源码

def inverse_binary_entropy_nats(entropy_val, num_iter=3):
    guess = (np.arcsin((entropy_val/np.log(2))**(1/.645)))/np.pi
    for i in range(num_iter):
        guess = guess + np.nan_to_num((entropy_val-binary_entropy_nats(guess))/binary_entropy_nats_prime(guess))
    return guess