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Currently only dense matrices and dataframes are supported for the x matrix. This limits on how large data can be used with the current implementation. It would be good to support sparse matrices for bigger data.
The text was updated successfully, but these errors were encountered:
All internal processing of {tabnet} is done currently with dense matrix operation, so I would not see a path to use sparse matrix without a massive redesign. If you have an idea and you can propose a pull-request, I will be happy to review it.
Currently only dense matrices and dataframes are supported for the x matrix. This limits on how large data can be used with the current implementation. It would be good to support sparse matrices for bigger data.
The text was updated successfully, but these errors were encountered: