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-4.5-noble)gfboost_0.1.1.tar.gz(r-4.4-noble)
gfboost_0.1.1.tgz(r-4.4-emscripten)gfboost_0.1.1.tgz(r-4.3-emscripten)
gfboost.pdf |gfboost.html✨
gfboost/json (API)
NEWS
# 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 3 years agofrom:d95c919ca4. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 01 2024 |
R-4.5-linux | OK | Dec 01 2024 |
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 |