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non_negative_factorization in sklearn/decomposition/nmf.py has default init='random' but the docstring says Default: 'nndsvd' if n_components < n_features, otherwise random..
non_negative_factorization
insklearn/decomposition/nmf.py
has defaultinit='random'
but the docstring saysDefault: 'nndsvd' if n_components < n_features, otherwise random.
.(See here) and #11667.
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