Open ablaom opened 1 year ago
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.
(core_booster=..., encoding=...)
encoding
The other two models just have a core_booster.
core_booster
Here's how things look for the classifier:
Rather we should return something like
(core_booster=..., encoding=...). The format ofencodingcould match what DecisionTreeClassifier does.The other two models just have a
core_booster.