def mi(xs):
try:
return entropy.mutual_information(xs)
except ValueError:
return 0
def compare_mi(one, two, num_samples=500):
one = list(one)
two = list(two)
f = lambda x: entropy.mutual_information(Counter(x).items())
p = permutation_test(f, one, two, num_samples)
return one, two, p
def mi_of_observations(xs):
return entropy.mutual_information(Counter(xs).items())