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We implement and extend the Dividing Local Gaussian Process algorithm by Lederer et al. (2020) <doi:10.48550/arXiv.2006.09446>. Its main use case is in online learning where it is used to train a network of local GPs (referred to as tree) by cleverly partitioning the input space. In contrast to a single GP, 'GPTreeO' is able to deal with larger amounts of data. The package includes methods to create the tree and set its parameter, incorporating data points from a data stream as well as making joint predictions based on all relevant local GPs.
Version: | 1.0.1 |
Imports: | R6, hash, DiceKriging, mlegp |
Suggests: | knitr, rmarkdown, spelling, testthat |
Published: | 2024-10-16 |
DOI: | 10.32614/CRAN.package.GPTreeO |
Author: | Timo Braun [aut, cre], Anders Kvellestad [aut], Riccardo De Bin [ctb] |
Maintainer: | Timo Braun <gptreeo.timo.braun at gmail.com> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
Language: | en-US |
Materials: | NEWS |
CRAN checks: | GPTreeO results |
Reference manual: | GPTreeO.pdf |
Vignettes: |
GPTreeO-Vignette (source, R code) |
Package source: | GPTreeO_1.0.1.tar.gz |
Windows binaries: | r-devel: GPTreeO_1.0.1.zip, r-release: GPTreeO_1.0.1.zip, r-oldrel: GPTreeO_1.0.1.zip |
macOS binaries: | r-release (arm64): GPTreeO_1.0.1.tgz, r-oldrel (arm64): GPTreeO_1.0.1.tgz, r-release (x86_64): GPTreeO_1.0.1.tgz, r-oldrel (x86_64): GPTreeO_1.0.1.tgz |
Old sources: | GPTreeO archive |
Please use the canonical form https://CRAN.R-project.org/package=GPTreeO to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.