Recommended Learners for 'mlr3'. Extends 'mlr3'
with interfaces to essential machine learning packages on CRAN.  This
includes, but is not limited to: (penalized) linear and logistic
regression, linear and quadratic discriminant analysis, k-nearest
neighbors, naive Bayes, support vector machines, and gradient
boosting.
data.table, mlr3 (>= 0.1.2), mlr3misc, paradox, R6

c(person(given = "Michel",
family = "Lang",
role = c("cre", "aut"),
email = "michellang@gmail.com",
comment = c(ORCID = "0000-0001-9754-0393")),
person(given = "Quay",
family = "Au",
role = "aut",
email = "quayau@gmail.com",
comment = c(ORCID = "0000-0002-5252-8902")),
person(given = "Stefan",
family = "Coors",
role = "aut",
email = "mail@stefancoors.de",
comment = c(ORCID = "0000-0002-7465-2146")),
person(given = "Patrick",
family = "Schratz",
role = "aut",
email = "patrick.schratz@gmail.com",
comment = c(ORCID = "0000-0003-0748-6624")))

data.table, mlr3 (>= 0.1.4), mlr3misc (>= 0.1.5), paradox, R6
bibtex, checkmate, DiceKriging, e1071, glmnet, kknn, lgr,
MASS, ranger, testthat, withr, xgboost

data.table, mlr3 (>= 0.1.4), mlr3misc (>= 0.1.7), paradox, R6
bibtex, checkmate, DiceKriging, e1071, glmnet, kknn, lgr,
MASS, ranger, testthat, xgboost

data.table, mlr3 (>= 0.2.0), mlr3misc (>= 0.2.0), paradox, R6
bibtex, checkmate, DiceKriging, e1071, glmnet, kknn, knitr,
lgr, MASS, nnet, ranger, rmarkdown, testthat, xgboost

Recommended Learners for 'mlr3'. Extends 'mlr3' and 'mlr3proba'
with interfaces to essential machine learning packages on CRAN.  This
includes, but is not limited to: (penalized) linear and logistic
regression, linear and quadratic discriminant analysis, k-nearest
neighbors, naive Bayes, support vector machines, and gradient
boosting.
data.table, mlr3 (>= 0.5.0), mlr3misc (>= 0.5.0), paradox, R6
bibtex, checkmate, DiceKriging, distr6, e1071, glmnet, kknn,
knitr, lgr, MASS, mlr3proba (>= 0.2.1), nnet, pracma, ranger,
rgenoud, rmarkdown, testthat, xgboost

data.table, mlr3 (>= 0.6.0), mlr3misc (>= 0.5.0), paradox, R6
bibtex, checkmate, DiceKriging, distr6, e1071, glmnet, kknn,
knitr, lgr, MASS, mlr3proba (>= 0.2.2), nnet, pracma, ranger,
rgenoud, rmarkdown, testthat, xgboost