On 10/21/2013 02:30 PM, Olivier Grisel wrote: > 2013/10/21 <desitter.grav...@gmail.com>: >> Dear Sklearn Team, >> >> I want to fork the ProjectedGradientNMF -> DoubleProjectedGradientNMF code >> with a minor change that I hope will have useful applications. >> >> I want the code to work on two matrices M1, M2, which are aligned in the >> observations (rows), but have different features. Then an observation of >> features in the first may be used to find a reduced W, which may then yield >> a prediction in the second set of features, and vice versa. >> >> Compactly, >> >> nmf_double(M1, M2) => W, H1, H2 > Is this just applying NMF twice or is there more?
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