{ "_id": "6ae0c0298d250e7ad09ececd", "Package": "timesift", "Title": "Learn Predictive Representations of Time-Varying Data", "Version": "0.3.1", "Authors@R": "person(\"Gilles\", \"Colling\", email = \"gilles.colling051@gmail.com\",\nrole = c(\"aut\", \"cre\", \"cph\"),\ncomment = c(ORCID = \"0000-0003-3070-6066\"))", "Description": "Fits and compares representations of time-varying data\nagainst a prediction target. Given a table of targets and a\ntable of time-stamped series belonging to them, it builds each\ncandidate representation, from the record unreduced through a\ncalendar grain such as a week or a month to a lookback anchored\non each target, fits the requested learners on each, scores\nevery candidate on one set of held-out folds, and stacks the\nout-of-fold predictions into an ensemble. Calendar-aware\nbinning keeps a bin a real week or month rather than a fixed\nblock of hours. Learners, response heads and metrics are\nregistered rather than hard-coded, so adding one is a\nregistration and not a fork of the fitting code. The penalised\nbaseline is an elastic net fitted by cyclic coordinate descent\nalong a warm-started path, following Friedman, Hastie and\nTibshirani (2010) . The shipped\ndefault is presence-absence with a joint multi-label head\nscored by the true skill statistic of Allouche, Tsoar and\nKadmon (2006) , the\nsetting used for species distribution modelling from\nmicroclimate loggers.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "Language": "en-GB", "URL": "https://gillescolling.com/timesift/,\nhttps://github.com/gcol33/timesift", "BugReports": "https://github.com/gcol33/timesift/issues", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "Config/roxygen2/version": "8.1.0", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-10-27 14:54:17 UTC", "User": "root" }, "Author": "Gilles Colling [aut, cre, cph] (ORCID:\n)", "Maintainer": "Gilles Colling ", "Repository": "https://cranhaven.r-universe.dev", "Date/Publication": "2026-10-27 02:02:00 UTC", "RemoteUrl": "https://github.com/cranhaven/cranhaven.r-universe.dev", "RemoteRef": "package/timesift", "RemoteSha": "a0d9d402217567b1f6fa1639a459eaa4d474c076", "RemoteSubdir": "timesift", "_user": "cranhaven", "_type": "src", "_file": "timesift_0.3.1.tar.gz", "_fileid": "https://r2.ropensci.org/b4e87363d57d17e79b14ced6f38939881863cc2f920e00dec27da10c46e35c3e", "_filesize": 1205695, "_sha256": "b4e87363d57d17e79b14ced6f38939881863cc2f920e00dec27da10c46e35c3e", "_expires": "2027-02-04T15:15:51.000Z", "_created": "2026-10-27T14:54:17.000Z", "_published": "2026-10-27T23:58:41.572Z", "_upstream": "https://github.com/cranhaven/cranhaven.r-universe.dev", "_status": "success", "_maintainer": { "name": "Gilles Colling", "email": "gilles.colling051@gmail.com", "login": "gcol33", "linkedin": "in/gilles-colling-0b3747306", "orcid": "0000-0003-3070-6066", "twitter": "@Gilles__Colling", "description": "Building tools for ecology in R, C++, and Rust.\nWhy did Microsoft have to buy it. 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