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mlexperiments

1.0.1Package record

Machine Learning Experiments

2packages depend
7.2Kdownloads / year
92.8%test coverage
13/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
13OK
Slowest check: 13.9 min · r-oldrel-macos-x86_64
Status changes
  • OK13 OK2026-10-01
  • ERROR12 OK, 1 ERROR2026-09-24
  • OK13 OK2026-08-09
  • ERROR10 OK, 3 ERROR2026-07-25
  • OK13 OK2026-06-09
Show 2 earlier changesHide 2 earlier changes
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0.1
README· In the repository, left out of the releaseVignettesYes · 6 · staticNEWS· In the repository, left out of the releaseCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
16
Examples that run
100%14 run in a plain check (10 of them under a condition)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
43%
Help pages citing references
0%

Downloads

7.2K
CRAN downloads in the past year
Rank #10,423 · ~20/day · ~601/mo
Daily download trend is not available in this view yet.
32130 days
99490 days
7.2K1 year
Compare downloads with other packages →
Also on134 r2u

Repository

5Stars
2Forks
1Open issues
0Open PRs
0Releases
238Commits
1Commit identities
cross-validationexperimenthyperparameter-optimizationhyperparameter-tuningmachine-learningnestedr-packager
License file reads as GPL-3.0 · 238 commits · Last activity 2026-08-01
Responsiveness
How these are sampled
PRs merged (all time)
not measured
Median days to close, 50 most recently updated closed issues
4
Median days to close, 50 most recently updated closed PRs
not measured

Stars over time

2023-10-03 · 42026-07-07 · 5
PracticesBeta

11 development-tooling and community-health practices detected across 7 families in the upstream repository

Checks run against github.com/kapsner/mlexperiments on 2026-10-21.

Continuous integration (3)
GitHub ActionsR CMD check workflowtic

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (1)
README.qmd
Coverage (1)
Coverage reporting
Reproducibility and dev environment (1)
data-raw/
Show all practicesHide 3 practices
CRAN release process (1)
cran-comments.md
Automation and maintenance (1)
pre-commit
Lint, format, editor (3)
lintrLint workflowRStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)

Installing mlexperiments adds 61 packages (26 with compiled code, 53 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)
R >= 4.1.0
LinkingTo (0)
none
Suggests (10)
Enhances (0)
none
Reverse dependencies
2direct
0indirect
Imports 2
Depends, Imports or LinkingTo, most downloaded first

People & History

People (1)
Maintainer since 0.0.2 (2023), Author, Copyright holder
Releases (9)

Pick two releases to compare their code metrics.

Package metadata

First published
2023-06-10
Total releases
9 / 3 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 4.1.0
Download size
259 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mlexperiments")
Kapsner, L. A. (2026). mlexperiments: Machine Learning Experiments (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.mlexperiments

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for mlexperiments version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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