class sklearn.model_selection.GroupShuffleSplit(n_splits=5, test_size=0.2, train_size=None, random_state=None)

sklearn.model_selection.train_test_split(*arrays, **options)

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

class sklearn.model_selection.TimeSeriesSplit(n_splits=3)

class sklearn.model_selection.LeaveOneOut

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

class sklearn.model_selection.ParameterSampler(param_distributions, n_iter, random_state=None)

class sklearn.model_selection.GroupKFold(n_splits=3)

class sklearn.model_selection.StratifiedShuffleSplit(n_splits=10, test_size=0.1, train_size=None, random_state=None)

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