mlr3learners: Recommended Learners for 'mlr3'

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.

Version: 0.1.3
Depends: R (≥ 3.1.0)
Imports: data.table, mlr3 (≥ 0.1.2), mlr3misc, paradox, R6
Suggests: checkmate, DiceKriging, e1071, glmnet, kknn, lgr, MASS, ranger, testthat, withr, xgboost
Published: 2019-09-17
Author: Michel Lang ORCID iD [cre, aut], Quay Au ORCID iD [aut], Stefan Coors ORCID iD [aut], Patrick Schratz ORCID iD [aut]
Maintainer: Michel Lang <michellang at gmail.com>
BugReports: https://github.com/mlr-org/mlr3learners/issues
License: LGPL-3
URL: https://mlr3learners.mlr-org.com, https://github.com/mlr-org/mlr3learners
NeedsCompilation: no
Materials: README NEWS
CRAN checks: mlr3learners results

Downloads:

Reference manual: mlr3learners.pdf
Package source: mlr3learners_0.1.3.tar.gz
Windows binaries: r-devel: mlr3learners_0.1.2.zip, r-release: mlr3learners_0.1.2.zip, r-oldrel: mlr3learners_0.1.2.zip
OS X binaries: r-release: mlr3learners_0.1.3.tgz, r-oldrel: mlr3learners_0.1.3.tgz
Old sources: mlr3learners archive

Reverse dependencies:

Reverse suggests: mlr3filters

Linking:

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