GPTreeO: Dividing Local Gaussian Processes for Online Learning Regression
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 |
Documentation:
| Reference manual: | GPTreeO.pdf |
| Vignettes: |
GPTreeO-Vignette (source, R code) |
Downloads:
| 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 |
Linking:
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