Package: GPTreeO 1.0.1

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.

Authors:Timo Braun [aut, cre], Anders Kvellestad [aut], Riccardo De Bin [ctb]

GPTreeO_1.0.1.tar.gz
GPTreeO_1.0.1.zip(r-4.5)GPTreeO_1.0.1.zip(r-4.4)GPTreeO_1.0.1.zip(r-4.3)
GPTreeO_1.0.1.tgz(r-4.4-any)GPTreeO_1.0.1.tgz(r-4.3-any)
GPTreeO_1.0.1.tar.gz(r-4.5-noble)GPTreeO_1.0.1.tar.gz(r-4.4-noble)
GPTreeO_1.0.1.tgz(r-4.4-emscripten)GPTreeO_1.0.1.tgz(r-4.3-emscripten)
GPTreeO.pdf |GPTreeO.html✨
GPTreeO/json (API)
NEWS

# Install 'GPTreeO' in R:
install.packages('GPTreeO', repos = c('https://timo-braun.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/timo-braun/gptreeo/issues

On CRAN:

3.30 score 191 downloads 6 exports 4 dependencies

Last updated 7 days agofrom:98ecac2fd8. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 16 2024
R-4.5-winOKOct 16 2024
R-4.5-linuxOKOct 16 2024
R-4.4-winOKOct 16 2024
R-4.4-macOKOct 16 2024
R-4.3-winOKOct 16 2024
R-4.3-macOKOct 16 2024

Exports:CreateWrappedGPGPNodeGPTreeWrappedDiceKrigingGPWrappedGPWrappedmlegpGP

Dependencies:DiceKriginghashmlegpR6

wrapper creation tutorial

Rendered fromGPTreeO-Vignette.Rmdusingknitr::rmarkdownon Oct 16 2024.

Last update: 2024-10-01
Started: 2024-10-01