{ "_id": "6acf2cb6d9de2f3f33fc8a84", "Package": "mlr3data", "Title": "Collection of Machine Learning Data Sets for 'mlr3'", "Version": "0.9.0", "Authors@R": "c(person(given = \"Michel\",\nfamily = \"Lang\",\nrole = \"ctb\",\nemail = \"michellang@gmail.com\",\ncomment = c(ORCID = \"0000-0001-9754-0393\")),\nperson(given = \"Marc\",\nfamily = \"Becker\",\nrole = c(\"cre\", \"aut\"),\nemail = \"marcbecker@posteo.de\",\ncomment = c(ORCID = \"0000-0002-8115-0400\")))", "Description": "A small collection of interesting and educational machine\nlearning data sets which are used as examples in the 'mlr3'\nbook (), the use case gallery\n(), or in other examples. All\ndata sets are properly preprocessed and ready to be analyzed by\nmost machine learning algorithms. Data sets are automatically\nadded to the dictionary of tasks if 'mlr3' is loaded.", "License": "LGPL-3", "URL": "https://github.com/mlr-org/mlr3data", "BugReports": "https://github.com/mlr-org/mlr3data/issues", "Encoding": "UTF-8", "LazyData": "true", "LazyDataCompression": "xz", "NeedsCompilation": "no", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.2", "Repository": "https://mlr-org.r-universe.dev", "Date/Publication": "2024-11-08 08:25:27 UTC", "RemoteUrl": "https://github.com/mlr-org/mlr3data", "RemoteRef": "v0.9.0", "RemoteSha": "6a444a22bffc8d0dbadd4b0413eed8cadba8eabe", "Packaged": { "Date": "2026-10-14 07:13:18 UTC", "User": "root" }, "Author": "Michel Lang [ctb] (ORCID: ),\nMarc Becker [cre, aut] (ORCID: )", "Maintainer": "Marc Becker ", "_user": "mlr-org", "_type": "src", "_file": "mlr3data_0.9.0.tar.gz", "_fileid": "https://r2.ropensci.org/b184af4bc864162f0a06882dd951020bfbb7026e7d50fc8c52003d4a9282c352", "_filesize": 3358479, "_sha256": 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