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Consistent handling of sparse data in fit and transform

Open lmcinnes opened this issue 7 years ago • 1 comments

As per #81 there are some issues with how transform manages to deal with sparse/dense data. This should be made consistent so that you can (ideally) use any mix of sparse and dense as required cleanly with both fit and transform.

lmcinnes avatar Jul 13 '18 18:07 lmcinnes

Hi, Still showing error for umap-learn==0.5.1 should we use dense for .transform ? .fit works well with sparse

arita37 avatar Dec 27 '21 13:12 arita37