import numpy as np
[docs]class EntropyCalculator:
"""
Set of functions to help with diversity calculations
"""
[docs] @staticmethod
def shannon_entropy(x):
a = np.array(x) if not isinstance(x, np.ndarray) else x
a = a[np.nonzero(a)]
p = a / np.sum(a)
return -np.sum(p * np.log(p))
[docs] @staticmethod
def min_entropy(x):
a = np.array(x) if not isinstance(x, np.ndarray) else x
a = a[np.nonzero(a)]
f = a / np.sum(a)
return -np.log(np.max(f))
[docs] @staticmethod
def renyi_entropy(x, alpha):
a = np.array(x) if not isinstance(x, np.ndarray) else x
a = a[np.nonzero(a)]
f = a / np.sum(a)
if np.abs(alpha - 1) < 1e-10:
entropy = EntropyCalculator.shannon_entropy(a)
elif alpha == np.inf:
entropy = EntropyCalculator.min_entropy(a)
else:
entropy = (1 / (1 - alpha)) * np.log(np.sum(f ** alpha))
return entropy