sklearn.metrics.pairwise.pairwise_distances(X, Y=None, metric='euclidean', n_jobs=1, **kwds)

sklearn.metrics.pairwise.paired_euclidean_distances(X, Y)

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

sklearn.metrics.pairwise.paired_manhattan_distances(X, Y)

sklearn.metrics.matthews_corrcoef(y_true, y_pred, sample_weight=None)

sklearn.metrics.f1_score(y_true, y_pred, labels=None, pos_label=1, average='binary', sample_weight=None)

sklearn.metrics.silhouette_score(X, labels, metric='euclidean', sample_size=None, random_state=None, **kwds)

sklearn.metrics.homogeneity_score(labels_true, labels_pred)

sklearn.metrics.median_absolute_error(y_true, y_pred)

sklearn.metrics.hamming_loss(y_true, y_pred, labels=None, sample_weight=None, classes=None)