sklearn.datasets.load_digits(n_class=10, return_X_y=False)

sklearn.feature_selection.mutual_info_regression(X, y, discrete_features='auto', n_neighbors=3, copy=True, ran

class sklearn.naive_bayes.BernoulliNB(alpha=1.0, binarize=0.0, fit_prior=True, class_prior=None)

sklearn.datasets.fetch_california_housing(data_home=None, download_if_missing=True)

class sklearn.feature_selection.RFE(estimator, n_features_to_select=None, step=1, verbose=0)

class sklearn.exceptions.NonBLASDotWarning

class sklearn.ensemble.IsolationForest(n_estimators=100, max_samples='auto', contamination=0.1, max_features=1.0, bootstrap=False

sklearn.metrics.hinge_loss(y_true, pred_decision, labels=None, sample_weight=None)

class sklearn.ensemble.AdaBoostClassifier(base_estimator=None, n_estimators=50, learning_rate=1.0, algorithm='SAMME.R', random_state=None)

sklearn.model_selection.check_cv(cv=3, y=None, classifier=False)