{ "_id": "6a26a44f24555f66ed522d71", "Package": "mlquantify", "Type": "Package", "Title": "Algorithms for Class Distribution Estimation", "Version": "0.2.0", "Authors@R": "c(\nperson(\"Andre\", \"Maletzke\", email = \"andregustavom@gmail.com\", role = c(\"aut\",\"cre\")),\nperson(\"Everton\", \"Cherman\", email = \"evertoncherman@gmail.com\", role = \"ctb\"),\nperson(\"Denis\", \"dos Reis\", email = \"denismr@gmail.com\", role = \"ctb\"),\nperson(\"Gustavo\", \"Batista\", email = \"g.batista@unsw.edu.au\", role = \"ths\"))", "Maintainer": "Andre Maletzke ", "Description": "Quantification is a prominent machine learning task that\nhas received an increasing amount of attention in the last\nyears. The objective is to predict the class distribution of a\ndata sample. This package is a collection of machine learning\nalgorithms for class distribution estimation. This package\ninclude algorithms from different paradigms of quantification.\nThese methods are described in the paper: A. Maletzke, W.\nHassan, D. dos Reis, and G. Batista. The importance of the test\nset size in quantification assessment. In Proceedings of the\nTwenty-Ninth International Joint Conference on Artificial\nIntelligence, IJCAI20, pages 2640–2646, 2020.\n.", "License": "GPL (>= 2.0)", "Encoding": "UTF-8", "LazyData": "true", "NeedsCompilation": "no", "Author": "Andre Maletzke [aut, cre], Everton Cherman [ctb], Denis dos\nReis [ctb], Gustavo Batista [ths]", "RoxygenNote": "7.1.1", "BugReports": "https://github.com/andregustavom/mlquantify/issues", "URL": "https://github.com/andregustavom/mlquantify", "Config/pak/sysreqs": "libicu-dev", "Repository": "https://andregustavom.r-universe.dev", "Date/Publication": "2022-01-20 13:36:12 UTC", "RemoteUrl": "https://github.com/andregustavom/mlquantify", "RemoteRef": "HEAD", "RemoteSha": "5d7c9ea9ca8ef5992c922cfed4b9a5e31e46ac54", "Packaged": { "Date": "2026-06-08 11:12:35 UTC", "User": "root" }, "MD5sum": "f46159a86748257bddc40775d40c7554", "_user": "andregustavom", "_type": "src", "_file": "mlquantify_0.2.0.tar.gz", "_fileid": "be74c8e45a5860ae6ef7c487fc907695ac229ea90b1a72a23ef7287105f4d0d6", "_filesize": 255844, "_sha256": "be74c8e45a5860ae6ef7c487fc907695ac229ea90b1a72a23ef7287105f4d0d6", "_created": "2026-06-08T11:12:35.000Z", "_published": "2026-06-08T11:15:27.502Z", "_distro": "noble", "_jobs": [ { "job": 80080991623, "time": 128, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "7478605521" }, { "job": 80080991645, "time": 135, "config": "linux-release-x86_64", "r": "4.6.0", "check": "NOTE", "artifact": "7478607536" }, { "job": 80080991643, "time": 91, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "NOTE", "artifact": "7478592434" }, { "job": 80080991656, "time": 88, "config": "macos-release-arm64", "r": "4.6.0", "check": "NOTE", "artifact": "7478591388" }, { "job": 80080448618, "time": 189, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7478559964" }, { "job": 80080991619, "time": 123, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7478603339" }, { "job": 80080991621, "time": 84, "config": "windows-devel", "r": "4.7.0", "check": "NOTE", "artifact": "7478589718" }, { "job": 80080991641, "time": 69, "config": "windows-oldrel", "r": "4.5.3", "check": "NOTE", "artifact": "7478584995" }, { "job": 80080991640, "time": 90, "config": "windows-release", "r": "4.6.0", "check": "NOTE", "artifact": "7478592548" } ], "_buildurl": "https://github.com/r-universe/andregustavom/actions/runs/27133603423", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/andregustavom/mlquantify", "_commit": { "id": "5d7c9ea9ca8ef5992c922cfed4b9a5e31e46ac54", "author": "Andre Maletzke ", "committer": "Andre Maletzke ", "message": "New methods added. 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