Provides 'R6' objects to perform parallelized hyperparameter optimization and cross-validation. Hyperparameter optimization can be performed with Bayesian optimization (via 'ParBayesianOptimization' <https://cran.r-project.org/package=ParBayesianOptimization>) 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.
| Version: | 0.0.8 |
| Depends: | R (≥ 4.1.0) |
| Imports: | data.table, kdry, parallel, progress, R6, splitTools, stats |
| Suggests: | class, datasets, lintr, measures, mlbench, ParBayesianOptimization, quarto, rpart, testthat (≥ 3.0.1) |
| Published: | 2025-10-15 |
| DOI: | 10.32614/CRAN.package.mlexperiments |
| Author: | Lorenz A. Kapsner |
| Maintainer: | Lorenz A. Kapsner <lorenz.kapsner at gmail.com> |
| BugReports: | https://github.com/kapsner/mlexperiments/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/kapsner/mlexperiments |
| NeedsCompilation: | no |
| SystemRequirements: | Quarto command line tools (https://github.com/quarto-dev/quarto-cli). |
| CRAN checks: | mlexperiments results |
| Reference manual: | mlexperiments.html , mlexperiments.pdf |
| Vignettes: |
KNN: Binary Classification (source, R code) KNN: Multiclass Classification (source, R code) rpart: Binary Classification (source, R code) rpart: Multiclass Classification (source, R code) rpart: Regression (source, R code) mlexperiments: Getting Started (source, R code) |
| Package source: | mlexperiments_0.0.8.tar.gz |
| Windows binaries: | r-devel: mlexperiments_0.0.8.zip, r-release: mlexperiments_0.0.8.zip, r-oldrel: mlexperiments_0.0.8.zip |
| macOS binaries: | r-release (arm64): mlexperiments_0.0.8.tgz, r-oldrel (arm64): mlexperiments_0.0.8.tgz, r-release (x86_64): mlexperiments_0.0.8.tgz, r-oldrel (x86_64): mlexperiments_0.0.8.tgz |
| Old sources: | mlexperiments archive |
| Reverse imports: | mllrnrs, mlsurvlrnrs |
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