mutual_info_score

mutual_info_score# sklearn.metrics.mutual_info_score(labels_true, labels_pred, *, contingency=None)[source]# Mutual Information between two clusterings. The Mutual Information is a measure of the similarity between two labels of the same data. Where \(|U_i|\) is the number of the samples in cluster \(U_i\) and \(|V_j|\) is the number of the samples in cluster \(V_j\), the Mutual Information betwee

[somemo]

“This is equal to the Kullback-Leibler divergence of the joint distribution with the product distribution of the marginals. ”