sklearn.datasets.load_files(container_path, description=None, categories=None, load_content=True, shuffle=True, encoding=None, decode_error='strict'

class sklearn.covariance.LedoitWolf(store_precision=True, assume_centered=False, block_size=1000)

class sklearn.linear_model.MultiTaskLassoCV(eps=0.001, n_alphas=100, alphas=None, fit_intercept=True, normalize=False, max_iter=1000

sklearn.feature_extraction.image.grid_to_graph(n_x, n_y, n_z=1, mask=None, return_as=, dtype=)

class sklearn.kernel_approximation.AdditiveChi2Sampler(sample_steps=2, sample_interval=None)

class sklearn.model_selection.RandomizedSearchCV(estimator, param_distributions, n_iter=10, scoring=None, fit_params=None

class sklearn.base.TransformerMixin

class sklearn.decomposition.ProjectedGradientNMF(*args, **kwargs)

sklearn.datasets.load_linnerud(return_X_y=False)

class sklearn.model_selection.PredefinedSplit(test_fold)