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Additional learners for mlr3

The following learners are shipped in their own packages to keep the {mlr3learners} package small.
Not all of them have necessarily been developed by the mlr-org team.
Also, learners might possibly be maintained by external persons.

See the section in the {mlr3learners} README on how to add/request a new learner.

Fully implemented

CI	mlr3 Package / Function / Maintainer	mlr3 Learner
	mlr3learner.ctree partykit:ctree() @be-marc	classif.ctree regr.ctree
	mlr3learners.extratrees extraTrees::extraTrees() @be-marc	classif.extraTrees regr.extraTrees
	mlr3learners.fnn FNN::knn() @be-marc	classif.fnn regr.fnn
	mlr3learners.liblinear LiblineaR::LiblineaR() @be-marc	classif.liblinearl1l2svc classif.liblinearl1logreg classif.liblinearl2l1svc classif.liblinearl2l2svc classif.liblinearl2logreg classif.liblinearmulticlasssvc regr.liblinearl2l1svr regr.liblinearl2l2svr
	mlr3learners.mboost mboost::gamboost() mboost::glmboost() @be-marc

In progress

CI	mlr3 Package	Package and Function(s)	Maintainer
	mlr3learners.h2o	h2o::h2o.glm, h2o::h2o.glrm, h2o::h2o.gbm, h2o::h2o.randomForest, h2o::h2o.deeplearning	Marc Becker (@be-marc)
	mlr3learners.countglm	stats::glm	Philipp Kopper (@pkopper)
	mlr3learners.Rborist	Rborist::Rborist	Philipp Kopper (@pkopper)

Installation

It is possible to have a CRAN-like installation via install.packages() by installing the learners from mlr3learners.drat.

Wishlist

• classif.C50
• cforest, should be with ctree in one "partykit" package
• classif.JRip
• classif.nnet
• all algos from klaR (that mlr2 had)
• regr.cubits
• regr.earth
• every MODERN COOL gaussian process you can find in R