Created
November 10, 2017 03:37
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from __future__ import division | |
import numpy as np | |
def mut_info(X, y): | |
n = X.shape[0] | |
n_11 = np.asarray(X[y].sum(axis=0)).squeeze() | |
n_01 = np.asarray(X[~y].sum(axis=0)).squeeze() | |
n_10 = np.asarray(y.sum() - n_11).squeeze() | |
n_00 = np.asarray(n - n_11 - n_01 - n_10).squeeze() | |
n = n_11 + n_10 + n_01 + n_00 | |
n_1x = n_11 + n_10 | |
n_x1 = n_11 + n_01 | |
n_0x = n_01 + n_00 | |
n_x0 = n_10 + n_00 | |
p1 = n_11 * np.log(n * n_11 / (n_1x * n_x1)) | |
p2 = n_01 * np.log(n * n_01 / (n_0x * n_x1)) | |
p3 = n_10 * np.log(n * n_10 / (n_1x * n_x0)) | |
p4 = n_00 * np.log(n * n_00 / (n_0x * n_x0)) | |
p1[np.isnan(p1)] = 0 | |
p2[np.isnan(p2)] = 0 | |
p3[np.isnan(p3)] = 0 | |
p4[np.isnan(p4)] = 0 | |
return (p1 + p2 + p3 + p4) / n |
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