{ "_id": "6a1eeb2db401979e73412241", "Package": "xrf", "Title": "eXtreme RuleFit", "Version": "0.3.1", "Authors@R": "person(\"Karl\", \"Holub\", , \"karljholub@gmail.com\", role = c(\"aut\", \"cre\"))", "Description": "An implementation of the RuleFit algorithm as described in\nFriedman & Popescu (2008) . eXtreme\nGradient Boosting ('XGBoost') is used to build rules, and\n'glmnet' is used to fit a sparse linear model on the raw and\nrule features. The result is a model that learns similarly to a\ntree ensemble, while often offering improved interpretability\nand achieving improved scoring runtime in live applications.\nSeveral algorithms for reducing rule complexity are provided,\nmost notably hyperrectangle de-overlapping. All algorithms\nscale to several million rows and support sparse\nrepresentations to handle tens of thousands of dimensions.", "License": "MIT + file LICENSE", "URL": "https://github.com/holub008/xrf", "BugReports": "https://github.com/holub008/xrf/issues", "Config/testthat/edition": "3", "Encoding": "UTF-8", "RoxygenNote": "7.3.3", "Config/pak/sysreqs": "make", "Repository": "https://holub008.r-universe.dev", "Date/Publication": "2025-12-17 22:23:16 UTC", "RemoteUrl": "https://github.com/holub008/xrf", "RemoteRef": "HEAD", "RemoteSha": "eb2449db2234452040e945d819cd129e44bd8ae8", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-19 09:50:51 UTC", "User": "root" }, "Author": "Karl Holub [aut, cre]", "Maintainer": "Karl Holub ", "MD5sum": "d540cf577dbeb03e3f9a4a47ba3665a8", "_user": "holub008", "_type": "src", "_file": "xrf_0.3.1.tar.gz", "_fileid": "bcc977bbdb2fed78702ef40501086da6bb782f38a93e8670980375a0c48ac9e1", "_filesize": 173126, "_sha256": 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