Package: mlexperiments
Title: Machine Learning Experiments
Version: 1.0.0
Authors@R: 
    person("Lorenz A.", "Kapsner", , "lorenz.kapsner@gmail.com", role = c("cre", "aut", "cph"),
           comment = c(ORCID = "0000-0003-1866-860X"))
Description: Provides 'R6' objects to perform parallelized
        hyperparameter optimization and cross-validation.
        Hyperparameter optimization can be performed with Bayesian
        optimization (via 'rBayesianOptimization'
        <https://cran.r-project.org/package=rBayesianOptimization>) and
        grid search. The optimized hyperparameters can be validated
        using k-fold cross-validation. Alternatively, hyperparameter
        optimization and validation can be performed with nested
        cross-validation. While 'mlexperiments' focuses on core
        wrappers for machine learning experiments, additional learner
        algorithms can be supplemented by inheriting from the provided
        learner base class.
License: GPL (>= 3)
URL: https://github.com/kapsner/mlexperiments
BugReports: https://github.com/kapsner/mlexperiments/issues
Depends: R (>= 4.1.0)
Imports: data.table, kdry, progress, R6, splitTools, stats
Suggests: class, datasets, lintr, measures, mlbench, parallel, quarto,
        rBayesianOptimization, rpart, testthat (>= 3.0.1)
VignetteBuilder: quarto
Config/testthat/edition: 3
Config/testthat/parallel: false
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
SystemRequirements: Quarto command line tools
        (https://github.com/quarto-dev/quarto-cli).
RoxygenNote: 7.3.3
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev
Repository: https://kapsner.r-universe.dev
Date/Publication: 2026-01-16 15:19:59 UTC
RemoteUrl: https://github.com/kapsner/mlexperiments
RemoteRef: HEAD
RemoteSha: ea1cb9dc1ab3be52d16c77055718db8bd8beb26b
NeedsCompilation: no
Packaged: 2026-07-04 07:32:12 UTC; root
Author: Lorenz A. Kapsner [cre, aut, cph] (ORCID:
    <https://orcid.org/0000-0003-1866-860X>)
Maintainer: Lorenz A. Kapsner <lorenz.kapsner@gmail.com>