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)

sklearn.metrics.median_absolute_error(y_true, y_pred)

class sklearn.decomposition.SparseCoder(dictionary, transform_algorithm='omp', transform_n_nonzero_coefs=None, transform_alpha=None

class sklearn.model_selection.KFold(n_splits=3, shuffle=False, random_state=None)

class sklearn.kernel_ridge.KernelRidge(alpha=1, kernel='linear', gamma=None, degree=3, coef0=1, kernel_params=None)

sklearn.preprocessing.scale(X, axis=0, with_mean=True, with_std=True, copy=True)

sklearn.datasets.fetch_covtype(data_home=None, download_if_missing=True, random_state=None, shuffle=False)

class sklearn.linear_model.TheilSenRegressor(fit_intercept=True, copy_X=True, max_subpopulation=10000.0, n_subsamples=None,