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That’s terribly interesting, given that this popped up too very recently: https://www.stochasticlifestyle.com/engineering-trade-offs-i...

However, while they speak of ML they refer only to deep learning, and I was wondering where Julia stands in terms of scikit-learn equivalents and if they ever took off.

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There is ScikitLearn.jl if you want a literal port, and MLJ.jl if you want a spiritual one.

Do you know how much MLJ.jl is used out in the wild and how well it is maintained? I don't see it coming up much in discussions in, for eg., the Julia Zulip or Discourse forums, not nearly as much as Flux for example. It may just be that it's outside my visibility bubble, but the only context I see it mentioned is similar to this where someone mentions it as an available option.

I think a lot of the answer is that MLJ is pretty stable, and works so there's a lot less discussion of it. Discussion indicates a combination of interest and complexity.

Thanks, that's really good to know.

I've used MLJ for some small projects at work without issue.

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