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ablaom avatar ablaom commented on May 18, 2024 1

I only implemented RidgeRegressor from there.

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ablaom avatar ablaom commented on May 18, 2024

That would be wonderful!!

Regarding competing algorithms, let me continue the discussion here

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ablaom avatar ablaom commented on May 18, 2024

Just a warning. If you are implementing transformers rather than supervised models (e.g. PCA) then there is no coerce method and the user may present the input X to fit/predict in any Query.jl iterable table format. Ideally, transform will then be an object of the same data type (assuming it is a supported sink type). So you will need some familiarity with Query.jl. I am currently working on some more MLJBase utilities to make this less painful but WIP.

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tlienart avatar tlienart commented on May 18, 2024

Ok thanks, I will try and might again need some guidance in a WIP PR. I thought I'd mimic some of the stuff that you looked at for MultivariateStats

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ablaom avatar ablaom commented on May 18, 2024

The transformers we have live in src/builtins/Transformers.jl, the best example is Standardizer. However, it is not in a good state but I am working on that right now.

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