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Non-Negative Least Squares implementation for Eigen3
Based on the code in this repo, it was merged in early 2022: https://gitlab.com/libeigen/eigen/-/merge_requests/798#note_1339336664
I don't see a license for this project. Given the eigen3 focus, I presume this is aiming for compatibility with the current MPL2 license. If so, Can you please post an MPL2 license for the project? Thanks!
Hi, I gave a try to the header and gave somewhat good result.
One of the problem is that sometimes it just goes into an infinite loop and hangs it there.
I am not an expert at all in LS or NNLS implementation so my question is, if that kind of behaviour is common? If not can be solved ? I think my data set was roughly correct, covering enough samples to have a good span. So even if with relative big error a result should have been found?
Best Regards and thanks for your effort.
Really nice work! but I need NNLS on sparseMatrix, do you have any plan?
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