On Fri, Jun 21, 2013 at 3:07 PM, Mathieu Blondel <math...@mblondel.org>wrote:
>
> In my research, I have used CSR matrices, since they can be processed very
> efficiently in Cython. Since CSR matrices are indeed non-trivial to
> construct, we could provide an utility function which takes an iterator of
> (feature_index, feature_value) pairs and produces a CSR matrix (with
> hardcoded zero-values safely preserved).
> <https://lists.sourceforge.net/lists/listinfo/scikit-learn-general>
So are you proposing that sparse matrices encode missing values with nan?
Or something else?
While CSR might suit recommendation, I would have thought CSC more
appropriate for imputation...
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