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What do you suggest should be done? Let's first profile the code and see the slowest places. Then we can optimize these and see if we should write C extensions or port things to NMatrix.
I think that maybe one way to start would be to look at how things are done in other tools such as R and Python.
If it helps, I recently found these notes on high-performance GLM solvers (in particular, on variants of the IRLS algorithm): http://bwlewis.github.io/GLM/ (the example codes are in R, but it should be easy to translate them into Ruby).
Statsample-GLM currently takes up a lot of time to fit models. For datasets having 1000 rows it can take hours to fit the model.
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