NMF in scikit-learn

Hi there

I am trying to apply Non-negative matrix factorization using scikit-learn [ http://scikit-learn.org/stable/modules/generated/sklearn.decomposition.NMF.html ]. My input data is V

here is the code:

X = pickle.load(open('pickled_X.pk'))
nmf = NMF(n_components = 10,tol=0.1)
Xnmf = nmf.fit_transform(X)

After decomposition is done I am ably to access matrix W

W = Xnmf

How do I access coefficient matrix H ?