Hi Vijay, You would need to impute your missing values first to use the implementation of PCA in scikit-learn. Alternatively, you could roll your own (or find a package somewhere) for a Probabilistic PCA that *can* handle missing values in the data.
Hope this helps, Lee. On Fri, Mar 7, 2014 at 10:15 AM, Gael Varoquaux <gael.varoqu...@normalesup.org> wrote: > On Fri, Mar 07, 2014 at 10:07:34AM -0500, Vijay Desai wrote: >> I was interested in doing PCA on a matrix with missing data. Can it be >> done using scikit-learn? > > No it cannot. > > G > > > ------------------------------------------------------------------------------ > Subversion Kills Productivity. Get off Subversion & Make the Move to Perforce. > With Perforce, you get hassle-free workflows. Merge that actually works. > Faster operations. Version large binaries. Built-in WAN optimization and the > freedom to use Git, Perforce or both. Make the move to Perforce. > http://pubads.g.doubleclick.net/gampad/clk?id=122218951&iu=/4140/ostg.clktrk > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general ------------------------------------------------------------------------------ Subversion Kills Productivity. Get off Subversion & Make the Move to Perforce. With Perforce, you get hassle-free workflows. Merge that actually works. Faster operations. Version large binaries. Built-in WAN optimization and the freedom to use Git, Perforce or both. Make the move to Perforce. http://pubads.g.doubleclick.net/gampad/clk?id=122218951&iu=/4140/ostg.clktrk _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
