mlexperiments
1.0.1Machine Learning Experiments
Overview
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
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- ERROR2026-07-2510 OK · 0 NOTE · 0 WARNING · 3 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 43%
- References docs
- 0%
Downloads
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8 development-tooling and community-health practices detected across 6 families in the upstream repository
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Code & Tests
People & History
9 releases. Pick two to compare their code metrics. R releases are shown for context.
- 1.0.1Latest
- RR 4.6.0 released · 2026-04-24
- 1.0.02026-01-16 · diff ↗
- 0.0.82025-10-15 · diff ↗
- 0.0.72025-09-09 · diff ↗
- 0.0.62025-09-06 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 0.0.52025-03-03 · diff ↗
- 0.0.42024-07-05 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 0.0.32024-03-07 · diff ↗
- 0.0.22023-06-10
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2023-06-10
- Total releases
- 9 / 3 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 4.1.0
- Download size
- 249 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet