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:	0.6.0
Depends:	mlr3 (≥ 0.17.1), R (≥ 3.1.0)
Imports:	checkmate, data.table, mlr3misc (≥ 0.9.4), paradox, R6
Suggests:	DiceKriging, e1071, glmnet, kknn, knitr, lgr, MASS, nnet, pracma, ranger, rgenoud, rmarkdown, testthat (≥ 3.0.0), xgboost (≥ 1.6.0)
Published:	2024-03-13
Author:	Michel Lang [cre, aut], Quay Au [aut], Stefan Coors [aut], Patrick Schratz [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

Documentation:

Reference manual:

mlr3learners.pdf

Downloads:

Package source:	mlr3learners_0.6.0.tar.gz
Windows binaries:	r-devel: mlr3learners_0.6.0.zip, r-release: mlr3learners_0.6.0.zip, r-oldrel: mlr3learners_0.6.0.zip
macOS binaries:	r-release (arm64): mlr3learners_0.6.0.tgz, r-oldrel (arm64): mlr3learners_0.6.0.tgz, r-release (x86_64): mlr3learners_0.6.0.tgz, r-oldrel (x86_64): mlr3learners_0.6.0.tgz
Old sources:	mlr3learners archive

Reverse dependencies:

Reverse depends:	GenericML
Reverse imports:	DoubleML, highMLR, mlr3fairness, mlr3shiny, mlr3verse, NADIA, sense, SIAMCAT, spFSR
Reverse suggests:	counterfactuals, cpi, explainer, mcboost, miesmuschel, mlr3benchmark, mlr3filters, mlr3fselect, mlr3hyperband, mlr3mbo, mlr3pipelines, mlr3spatial, mlr3summary, mlr3tuning, mlr3tuningspaces, mlr3viz, mlrintermbo, vetiver, vivid

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