Package: gfboost 0.1.1

Tino Werner
gfboost: Gradient-Free Gradient Boosting
Implementation of routines of the author's PhD thesis on gradient-free Gradient Boosting (Werner, Tino (2020) "Gradient-Free Gradient Boosting", URL '<https://oops.uni-oldenburg.de/id/eprint/4290>').
Authors:
gfboost_0.1.1.tar.gz
gfboost_0.1.1.tar.gz(r-4.7-any)gfboost_0.1.1.tar.gz(r-4.6-any)
gfboost_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
gfboost/json (API)
| # Install 'gfboost' in R: |
| install.packages('gfboost', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:d95c919ca4. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 145 | ||
| source / vignettes | OK | 194 | ||
| linux-release-x86_64 | OK | 133 | ||
| wasm-release | OK | 103 |
Exports:CMBCMB.stabpathCMB.StabselCMB3SCV.CMB3SgenDataFromExamplesLocRankpath.singboostrandom.CVindRanksingboostsingboost.plotWeakRankWeakRankNorm
Dependencies:FormulainumlatticelibcoinMatrixmboostmvtnormnnlspartykitpcaPPquadprogrpartstabssurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| CMB aggregation function | CMB |
| CMB stability paths | CMB.stabpath |
| Loss-adapted Stability Selection | CMB.Stabsel |
| Column Measure Boosting with SingBoost and Stability Selection (CMB-3S) | CMB3S |
| Cross-validated version of CMB-3S | CV.CMB3S |
| Data generation | genDataFromExamples |
| Localized ranking familty | LocRank |
| Coefficient paths for SingBoost | path.singboost |
| Cross validation index generator | random.CVind |
| Hard ranking family | Rank |
| CMB validation step | RejStep |
| SingBoost Boosting method | singboost |
| Plot function for the SingBoost coefficient paths | singboost.plot |
| Weak ranking family | WeakRank |
| Weak ranking family (normalized) | WeakRankNorm |