Different result compared with sklearn.metric.mutual_info_score

[kaixiongg]

Readme provides the result as 0.02, is there any normalization or what influence the result?

x = np.array([1,1,1,0,0])
y=np.array([1,0,1,1,0])
mutual_info_score(x,y)
0.013844293808390418

[Craigacp]

MIToolbox uses log base 2 for all computations, scikit-learn uses log base e. So our units are "bits" and theirs are "nats".

[kaixiongg]

Understood. thanks for your reply