DESCRIPTION

Package: mlr3learners
Title: Recommended Learners for 'mlr3'
Version: 0.8.0.9000
Authors@R: c(
    person("Michel", "Lang", , "michellang@gmail.com", role = "aut",
           comment = c(ORCID = "0000-0001-9754-0393")),
    person("Quay", "Au", , "quayau@gmail.com", role = "aut",
           comment = c(ORCID = "0000-0002-5252-8902")),
    person("Stefan", "Coors", , "mail@stefancoors.de", role = "aut",
           comment = c(ORCID = "0000-0002-7465-2146")),
    person("Patrick", "Schratz", , "patrick.schratz@gmail.com", role = "aut",
           comment = c(ORCID = "0000-0003-0748-6624")),
    person("Marc", "Becker", , "marcbecker@posteo.de", role = c("cre", "aut"),
           comment = c(ORCID = "0000-0002-8115-0400"))
  )
Description: 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.
License: LGPL-3
URL: https://mlr3learners.mlr-org.com,
    https://github.com/mlr-org/mlr3learners
BugReports: https://github.com/mlr-org/mlr3learners/issues
Depends:
    mlr3 (>= 0.21.1),
    R (>= 3.1.0)
Imports:
    checkmate,
    data.table,
    mlr3misc (>= 0.9.4),
    paradox (>= 1.0.0),
    R6
Suggests:
    DiceKriging,
    e1071,
    glmnet,
    kknn,
    knitr,
    lgr,
    MASS,
    nnet,
    pracma,
    ranger,
    rgenoud,
    rmarkdown,
    testthat (>= 3.0.0),
    xgboost (>= 1.6.0)
Config/testthat/edition: 3
Encoding: UTF-8
NeedsCompilation: no
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Collate:
    'aaa.R'
    'LearnerClassifCVGlmnet.R'
    'LearnerClassifGlmnet.R'
    'LearnerClassifKKNN.R'
    'LearnerClassifLDA.R'
    'LearnerClassifLogReg.R'
    'LearnerClassifMultinom.R'
    'LearnerClassifNaiveBayes.R'
    'LearnerClassifNnet.R'
    'LearnerClassifQDA.R'
    'LearnerClassifRanger.R'
    'LearnerClassifSVM.R'
    'LearnerClassifXgboost.R'
    'LearnerRegrCVGlmnet.R'
    'LearnerRegrGlmnet.R'
    'LearnerRegrKKNN.R'
    'LearnerRegrKM.R'
    'LearnerRegrLM.R'
    'LearnerRegrNnet.R'
    'LearnerRegrRanger.R'
    'LearnerRegrSVM.R'
    'LearnerRegrXgboost.R'
    'bibentries.R'
    'helpers.R'
    'helpers_glmnet.R'
    'helpers_ranger.R'
    'zzz.R'