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This\nmapping relies on minimizing, for each continuous attribute to\nbe discretized, the distance between the four first moments of\nS and the four first moments of C subject to some constraints.\nThis non-linear optimization problem is performed using k\nvalues ranging from 2 to 'max_splits', and the best solution\nreturned correspond to the value k which optimum solution is\nthe lowest one over the different realizations. ForestDisc is a\ngeneralization of RFDisc discretization method initially\nproposed by Berrado and Runger (2009)\n, and improved by Berrado et\nal. in 2012 by adopting the idea of moment matching\noptimization related by Hoyland and Wallace (2001) .", "License": "GPL (>= 3)", "Encoding": "UTF-8", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-02 10:20:57 UTC", "User": "root" }, "Config/pak/sysreqs": "cmake", "Repository": "https://hmais.r-universe.dev", "Date/Publication": "2020-03-19 12:00:21 UTC", "RemoteUrl": "https://github.com/cran/ForestDisc", "RemoteRef": "HEAD", "RemoteSha": "ea960566ba7b25142c37c3ae0b444b5dbecc5a71", "MD5sum": "22c62d907874f56cf0514f9727280836", "_user": "hmais", "_type": "src", "_file": "ForestDisc_0.1.0.tar.gz", "_fileid": "59790177fec5ca4ecfdbef03e71c3a061d47b25587ad08377230d486fceb7dd4", "_filesize": 105046, "_sha256": "59790177fec5ca4ecfdbef03e71c3a061d47b25587ad08377230d486fceb7dd4", "_created": "2026-06-02T10:20:57.000Z", "_published": 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