Encoders for feature engineering

[indymnv]

I was checking the documentation a bit and I missed the possibility of using different encoders for feature engineering in machine learning; it looked like only One-Hot-Encoder is available.
In python, for now, Scikit-learn has a solution that it worked well, Pandas also have some less popular options, and there are third-party libraries that integrate very well with the ML ecosystem (Pandas-Scikit-Learn). It is interesting to check, for example, Feature Engine. However, I think most people in the Python ML ecosystem use the Scikit-learn feature encoders, I guess for reliability.

Is there a project for integrating more encoders into JuliaAI?

[juliohm]

@indymnv we are actively working on https://github.com/JuliaML/TableTransforms.jl, it is not specific to MLJ.jl though.

[ablaom]

@indymnv I'm going to reply to your message at thread referenced below.

Closing in favour of JuliaAI/MLJModels.jl#314