On Tue, Mar 26, 2013 at 9:25 PM, Lee Zamparo <zamp...@gmail.com> wrote: > AFAIK, you might not want all the missing values to be imputed at once, > especially if the dimensions of X are large. Maybe something like: > > > X_transformed = estimator.fit_transform(X) # X contains missing values > X_subset = estimator.inverse_transform(X_transformed,row_subset) # impute > only a subset of the rows of X
Can't you just do estimator.inverse_transform(X[:subset])? Mathieu ------------------------------------------------------------------------------ Own the Future-Intel® Level Up Game Demo Contest 2013 Rise to greatness in Intel's independent game demo contest. Compete for recognition, cash, and the chance to get your game on Steam. $5K grand prize plus 10 genre and skill prizes. Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
