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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	Package and Function(s)	Maintainer
	mlr3learner.ctree	partykit:ctree	Marc Becker (@be-marc)
	mlr3learners.extratrees	extraTrees::extraTrees	Marc Becker (@be-marc)
	mlr3learners.fnn	FNN::knn	Marc Becker (@be-marc)
	mlr3learners.liblinear	LiblineaR::LiblineaR	Marc Becker (@be-marc)
	mlr3learners.mboost	mboost::gamboost mboost::glmboost	Marc Becker (@be-marc)

Awaits review

These learners are working but need to be reviewed. Note that you probably have to switch the branch to get the latest release.

CI	mlr3 Package	Package and Function(s)	Maintainer
	mlr3learners.dbarts	dbarts::bart	Chris Kennedy (@ck37)
	mlr3learners.earth	earth::earth	Philipp Kopper (@pkopper)
	mlr3learners.gbm	gbm::gbm	Marc Becker (@be-marc)
	mlr3learners.ksvm	kernlab::ksvm	Marc Becker (@be-marc)
	mlr3learners.lightgbm	lightgbm::lgb.train, lightgbm::lgb.cv	Lorenz Kapsner (@kapsner)
	mlr3learners.randomForest	randomForest::randomForest	Philipp Kopper (@pkopper)

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