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