Type: Package
Package: GPTreeO
Title: Dividing Local Gaussian Processes for Online Learning Regression
Version: 1.0.1
Authors@R: c(
    person(given = "Timo",
           family = "Braun",
           role = c("aut", "cre"),
           comment = c(ORCID = "0009-0001-0965-8285"),
           email = "gptreeo.timo.braun@gmail.com"),
    person(given = "Anders",
           family = "Kvellestad",
           role = "aut",
           comment = c(ORCID = "0000-0002-5267-7705")),
    person(given = "Riccardo",
           family = "De Bin",
           role = "ctb",
           comment = c(ORCID = "0000-0002-7441-6880")))
Maintainer: Timo Braun <gptreeo.timo.braun@gmail.com>
Description: 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.
License: MIT + file LICENSE
Imports: R6, hash, DiceKriging, mlegp
Suggests: knitr, rmarkdown, spelling, testthat
VignetteBuilder: knitr
Encoding: UTF-8
RoxygenNote: 7.3.1
Language: en-US
NeedsCompilation: no
Packaged: 2024-10-16 15:06:08 UTC; traschpanda
Author: Timo Braun [aut, cre] (<https://orcid.org/0009-0001-0965-8285>),
  Anders Kvellestad [aut] (<https://orcid.org/0000-0002-5267-7705>),
  Riccardo De Bin [ctb] (<https://orcid.org/0000-0002-7441-6880>)
Repository: CRAN
Date/Publication: 2024-10-16 15:20:02 UTC
Built: R 4.6.0; ; 2026-04-26 19:19:46 UTC; unix
