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GPTreeO  

Dividing Local Gaussian Processes for Online Learning Regression
View on CRAN: Click here


Download and install GPTreeO package within the R console
Install from CRAN:
install.packages("GPTreeO")

Install from Github:
library("remotes")
install_github("cran/GPTreeO")

Install by package version:
library("remotes")
install_version("GPTreeO", "1.0.1")



Attach the package and use:
library("GPTreeO")
Maintained by
Timo Braun
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-09-23
Latest Update: 2024-09-23
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.
How to cite:
Timo Braun (2024). GPTreeO: Dividing Local Gaussian Processes for Online Learning Regression. R package version 1.0.1, https://cran.r-project.org/web/packages/GPTreeO. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.0 (2024-09-23 15:41)
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Complete documentation for GPTreeO
Functions, R codes and Examples using the GPTreeO R package
Full GPTreeO package functions and examples
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