Package: GPTreeO 1.0.1

Timo Braun

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.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://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.30 score 200 downloads 6 exports 4 dependencies

Last updated 7 days agofrom:79213d09e3. Checks:OK: 1 WARNING: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 17 2024
R-4.5-linuxWARNINGOct 17 2024

Exports:CreateWrappedGPGPNodeGPTreeWrappedDiceKrigingGPWrappedGPWrappedmlegpGP

Dependencies:DiceKriginghashmlegpR6

wrapper creation tutorial

Rendered fromGPTreeO-Vignette.Rmdusingknitr::rmarkdownon Oct 17 2024.

Last update: 2024-09-24
Started: 2024-09-24