{ "_id": "6a29251c732311cd8759e3b9", "Package": "evoFE", "Type": "Package", "Title": "Evolutionary Feature Engineering", "Version": "0.2.0", "Authors@R": "person(\"Gustavo\", \"Pereira\", role = c(\"aut\", \"cre\"), email = \"tanopereira@gmail.com\")", "Description": "Automates feature engineering using evolutionary\nalgorithms inspired by genetic programming. Starting from raw\ninput features, the package evolves candidate transformation\nrecipes through selection, crossover, and mutation, evaluating\nfitness via cross-validation or train/validation splits with\ngradient-boosted tree models ('LightGBM' or 'XGBoost').\nBuilt-in transformers include arithmetic, logarithmic, and\npower operations, interaction terms, target encoding, quantile\nand log-based binning, principal component analysis, truncated\nsingular value decomposition, Uniform Manifold Approximation\nand Projection (UMAP) dimensionality reduction, and minimum\nspanning tree (MST) graph-based clustering. The evolutionary\nsearch yields an optimised feature recipe that can be applied\nto new data for prediction. Methods are described in McInnes et\nal. (2018) , Ke et al. (2017)\n,\nChen and Guestrin (2016) ,\nGagolewski (2021) , Gagolewski\n(2026) , and Gagolewski\n(2026) .", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "VignetteBuilder": "knitr", "Config/roxygen2/version": "8.0.0", "RoxygenNote": "7.3.2", "Config/pak/sysreqs": "libgdal-dev gdal-bin libgeos-dev libglu1-mesa-dev\nlibgmp3-dev make libgsl0-dev jags libicu-dev libxml2-dev\nlibmpfr-dev libopenmpi-dev libproj-dev", "Repository": "https://tanopereira.r-universe.dev", "Date/Publication": "2026-06-09 17:59:39 UTC", "RemoteUrl": "https://github.com/tanopereira/evofe", "RemoteRef": "HEAD", "RemoteSha": "907e5038a8f76764779ca85413c4c8a580d09401", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-10 08:20:18 UTC", "User": "root" }, "Author": "Gustavo Pereira [aut, cre]", "Maintainer": "Gustavo Pereira ", "MD5sum": "505a04d9ed58eca4f23d6d166103e666", "_user": "tanopereira", "_type": "src", "_file": "evoFE_0.2.0.tar.gz", "_fileid": 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