class sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0, store_covariances=False

class sklearn.linear_model.OrthogonalMatchingPursuitCV(copy=True, fit_intercept=True, normalize=True, max_iter=None

Warning DEPRECATED

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

class sklearn.preprocessing.MultiLabelBinarizer(classes=None, sparse_output=False)

class sklearn.linear_model.Ridge(alpha=1.0, fit_intercept=True, normalize=False, copy_X=True, max_iter=None, tol=0.001, solver='auto',

class sklearn.random_projection.SparseRandomProjection(n_components='auto', density='auto', eps=0.1, dense_output=False

sklearn.metrics.homogeneity_score(labels_true, labels_pred)

class sklearn.ensemble.ExtraTreesClassifier(n_estimators=10, criterion='gini', max_depth=None, min_samples_split=2, min_samples_leaf=1

class sklearn.preprocessing.StandardScaler(copy=True, with_mean=True, with_std=True)