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Automates feature engineering using evolutionary algorithms inspired by genetic programming. Starting from raw input features, the package evolves candidate transformation recipes through selection, crossover, and mutation, evaluating fitness via cross-validation or train/validation splits with gradient-boosted tree models ('LightGBM' or 'XGBoost'). Built-in transformers include arithmetic, logarithmic, and power operations, interaction terms, target encoding, quantile and log-based binning, principal component analysis, truncated singular value decomposition, Uniform Manifold Approximation and Projection (UMAP) dimensionality reduction, and minimum spanning tree (MST) graph-based clustering. The evolutionary search yields an optimised feature recipe that can be applied to new data for prediction. Methods are described in McInnes et al. (2018) <doi:10.21105/joss.00861>, Ke et al. (2017) <https://papers.nips.cc/paper/6907-lightgbm-a-highly-efficient-gradient-boosting-decision-framework>, Chen and Guestrin (2016) <doi:10.1145/2939672.2939785>, Gagolewski (2021) <doi:10.1016/j.softx.2021.100722>, Gagolewski (2026) <doi:10.32614/CRAN.package.lumbermark>, and Gagolewski (2026) <doi:10.32614/CRAN.package.deadwood>.
| Version: | 0.1.0 |
| Imports: | data.table, lightgbm, xgboost, stats, digest, uwot, quitefastmst, genieclust |
| Suggests: | RhpcBLASctl, testthat, knitr, rmarkdown, lumbermark, deadwood |
| Published: | 2026-06-09 |
| DOI: | 10.32614/CRAN.package.evoFE (may not be active yet) |
| Author: | Gustavo Pereira [aut, cre] |
| Maintainer: | Gustavo Pereira <tanopereira at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | evoFE results |
| Reference manual: | evoFE.html , evoFE.pdf |
| Vignettes: |
Getting Started with evoFE (source, R code) |
| Package source: | evoFE_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): evoFE_0.1.0.tgz, r-oldrel (arm64): evoFE_0.1.0.tgz, r-release (x86_64): evoFE_0.1.0.tgz, r-oldrel (x86_64): evoFE_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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