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mlexperiments  

Machine Learning Experiments
View on CRAN: Click here


Download and install mlexperiments package within the R console
Install from CRAN:
install.packages("mlexperiments")

Install from Github:
library("remotes")
install_github("cran/mlexperiments")

Install by package version:
library("remotes")
install_version("mlexperiments", "1.0.0")



Attach the package and use:
library("mlexperiments")
Maintained by
Lorenz A. Kapsner
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-06-10
Latest Update: 2025-03-03
Description:
Provides 'R6' objects to perform parallelized hyperparameter optimization and cross-validation. Hyperparameter optimization can be performed with Bayesian optimization (via '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.
How to cite:
Lorenz A. Kapsner (2023). mlexperiments: Machine Learning Experiments. R package version 1.0.0, https://cran.r-project.org/web/packages/mlexperiments. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-08-01 09:00), 0.0.2 (2023-06-10 15:50), 0.0.3 (2024-03-07 10:30), 0.0.4 (2024-07-05 10:30), 0.0.5 (2025-03-03 23:20), 0.0.6 (2025-09-06 15:50), 0.0.7 (2025-09-09 08:50), 0.0.8 (2025-10-15 14:50), 1.0.0 (2026-01-16 18:00)
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Complete documentation for mlexperiments
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