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Posted to github@arrow.apache.org by GitBox <gi...@apache.org> on 2020/07/06 20:49:19 UTC

[GitHub] [arrow] rok commented on pull request #7044: ARROW-6485: [Format][C++] Support the format of a COO sparse matrix that has separated row and column indices

rok commented on pull request #7044:
URL: https://github.com/apache/arrow/pull/7044#issuecomment-654457797


   Hey @mrkn - sorry I didn't have capacity to reply for a while.
   
   If I remember correctly only SciPy has this architecture of COO index having two vectors instead of one 2D matrix.
   
   Question: could we handle this as a special case of COO tensor rather than a new type? Could we serialize `(row, col)` data as a single row major tensor of COO type and only deserialize it into the SciPy layout if desired? (I'm asking because I'm not sure if such approach is feasible)
   
   If we go for a new type - could I propose a name SparseCOOMatrix (as opposed to n-dimensional SparseCOOTensor). It could perhaps be shortened to `COOM`?


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