sklearn.cluster.k_means(X, n_clusters, init='k-means++', precompute_distances='auto', n_init=10, max_iter=300, verbose=False, tol=0.0001

class sklearn.feature_extraction.text.CountVectorizer(input=u'content', encoding=u'utf-8', decode_error=u'strict',

class sklearn.neighbors.LSHForest(n_estimators=10, radius=1.0, n_candidates=50, n_neighbors=5, min_hash_match=4, radius_cutoff_ratio=0

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

class sklearn.model_selection.TimeSeriesSplit(n_splits=3)

class sklearn.neighbors.KNeighborsClassifier(n_neighbors=5, weights='uniform', algorithm='auto', leaf_size=30, p=2, metric='minkowski'

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

class sklearn.preprocessing.PolynomialFeatures(degree=2, interaction_only=False, include_bias=True)

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

sklearn.svm.libsvm.cross_validation() Binding of the cross-validation routine (low-level routine)