mlr3
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Give learners "tags" like in mlr3pipelines
I think it would be a good addition to tag learners according to the category to which they belong.
E.g. in mlr3extralearners
we have many different implementations of very similar algorithms.
Tags I am thinking about are:
- Bayesian
- Boosting
- Neural Network
- Decision Tree
- Ensemble Method
- Random Forest
...
This could also be used in the learner help pages to suggest similar learners in the "seealso" section
Where are these tags stored? In the learner or the dictionary? seealso
doesn't work across packages.
In mlr3pipelines they are stored in the PipeOp. Ok then maybe not in seealso but somewhere else in the description