On Fri, Jul 25, 2014 at 7:38 AM, Aureliano Buendia <[hidden email]> wrote:
> Is there an implementation for Nonnegative Matrix Factorization in Spark? I
> understand that MLlib comes with matrix factorization, but it does not seem
> to cover the nonnegative case.
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Using the movieLens data, I load the data, set als.setNonnegative(true), generate the model. When I do a model.getUserFeatures().collect() or .getProductFeatures().collect(), I see negative values in the features. Am I missing something?