DESCRIPTION

Type: Package
Package: mlrng
Title: Machine Learning in R - Next Generation
Version: 0.1
Authors@R: 
    c(person(given = "Bernd",
             family = "Bischl",
             role = c("cre", "aut"),
             email = "bernd_bischl@gmx.de"),
      person(given = "Michel",
             family = "Lang",
             role = "aut",
             email = "michellang@gmail.com"))
Description: Machine Learning in R. Next Gen.
License: GPL-2
Depends:
    data.table,
    phng,
    R (>= 3.2.0)
Imports:
    backports (>= 1.1.1),
    BBmisc,
    checkmate (>= 1.8.4),
    DBI,
    digest,
    dplyr (>= 0.7.0),
    evaluate,
    fastmatch,
    glue,
    parallelMap,
    prettyunits,
    R6,
    rappdirs,
    RSQLite,
    stringi,
    yaml
Suggests:
    callr,
    dbplyr,
    knitr,
    mlbench,
    rmarkdown,
    rpart,
    testthat,
    withr
VignetteBuilder: 
    knitr
Remotes: 
    mllg/backports,
    mlr-org/phng
Encoding: UTF-8
NeedsCompilation: no
Roxygen: list(markdown = TRUE)
RoxygenNote: 6.1.0
Collate: 
    'Backend.R'
    'BackendDBI.R'
    'BackendLocal.R'
    'BenchmarkResult.R'
    'Dictionary.R'
    'Learner.R'
    'LearnerClassif.R'
    'LearnerRegr.R'
    'Measure.R'
    'Result.R'
    'TrainResult.R'
    'PredictResult.R'
    'PerformanceResult.R'
    'ResampleResult.R'
    'Resampling.R'
    'Task.R'
    'TaskSupervised.R'
    'TaskClassif.R'
    'TaskRegr.R'
    'TrainLog.R'
    'TuneControl.R'
    'TuneControlGrid.R'
    'asserts.R'
    'benchmark.R'
    'config.R'
    'expect_learner.R'
    'getTaskData.R'
    'helper.R'
    'mlr.learners.R'
    'mlr.learners.classif.dummy.R'
    'mlr.learners.classif.rpart.R'
    'mlr.learners.helper.R'
    'mlr.learners.regr.dummy.R'
    'mlr.measures.R'
    'mlr.measures.mmce.R'
    'mlr.measures.mse.R'
    'mlr.resamplings.R'
    'mlr.resamplings.cv.R'
    'mlr.resamplings.holdout.R'
    'mlr.resamplings.subsampling.R'
    'mlr.tasks.R'
    'performance.R'
    'predict.R'
    'resample.R'
    'runExperiment.R'
    'train.R'
    'tune.R'
    'zzz.R'