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Testing against SciPy to assess relative performance #21

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pkofod opened this Issue Nov 17, 2016 · 1 comment

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pkofod commented Nov 17, 2016

Shameless repost of JuliaNLSolvers/Optim.jl#298

@ChrisRackauckas wrote:
Are there any tests against the SciPy LM implementation to see if this implementation is as robust as possible (assuming the SciPy implementation is good)? I can't seem to find out how to properly use PyCall to use the SciPy curve_fit function, but I think it would be a necessary test since the current LM implementation is lacking a lot of robustness (and while that's a standard feature of the algorithm, it just seems even pickier than normal)

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blakejohnson Nov 26, 2016

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No, I haven't benchmarked against other implementations. Seems worthwhile, though.

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blakejohnson commented Nov 26, 2016

No, I haven't benchmarked against other implementations. Seems worthwhile, though.

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