sklearn.metrics.pairwise.distance_metrics()

sklearn.metrics.pairwise.polynomial_kernel(X, Y=None, degree=3, gamma=None, coef0=1)

sklearn.metrics.pairwise.pairwise_kernels(X, Y=None, metric='linear', filter_params=False, n_jobs=1, **kwds)

sklearn.metrics.auc(x, y, reorder=False)

sklearn.metrics.pairwise.paired_distances(X, Y, metric='euclidean', **kwds)

sklearn.metrics.adjusted_mutual_info_score(labels_true, labels_pred)

sklearn.metrics.pairwise.additive_chi2_kernel(X, Y=None)

sklearn.metrics.mutual_info_score(labels_true, labels_pred, contingency=None)

sklearn.metrics.pairwise.manhattan_distances(X, Y=None, sum_over_features=True, size_threshold=500000000.0)

sklearn.metrics.explained_variance_score(y_true, y_pred, sample_weight=None, multioutput='uniform_average')