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Overload MLJModelInterface.fitted_params to get more readable fitted_params(mach) output #35

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ablaom opened this issue Jan 25, 2023 · 0 comments
Open

Overload MLJModelInterface.fitted_params to get more readable fitted_params(mach) output #35

ablaom opened this issue Jan 25, 2023 · 0 comments
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@ablaom
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ablaom commented Jan 25, 2023

Here's how things look for the classifier:

julia> fitted_params(mach)
(fitresult = (Booster(), CategoricalArrays.CategoricalValue{String, UInt32} "setosa"),)

Rather we should return something like (core_booster=..., encoding=...). The format of encoding could match what DecisionTreeClassifier does.

The other two models just have a core_booster.
@github-project-automation github-project-automation bot moved this to priority low / straightforward in General Aug 30, 2024
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