Gaussian Process Regression for Scalar and Functional Inputs with funGp - The in-depth tour - Archive ouverte HAL
Pré-Publication, Document De Travail Année : 2020

Gaussian Process Regression for Scalar and Functional Inputs with funGp - The in-depth tour

Résumé

This is a comprehensive guide to creating and manipulating Gaussian process regression models using the R package funGp. It illustrates through examples, the usage of every function in the package and each example is accompanied by a code snippet to shorten the learning curve through direct usage of the functions.
Fichier principal
Vignette du fichier
funGp R package_user manual_JB_FB_TK.pdf (1.92 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02536624 , version 1 (08-04-2020)
hal-02536624 , version 2 (28-10-2022)

Identifiants

  • HAL Id : hal-02536624 , version 1

Citer

José Daniel Betancourt, François Bachoc, Thierry Klein. Gaussian Process Regression for Scalar and Functional Inputs with funGp - The in-depth tour. 2020. ⟨hal-02536624v1⟩

Collections

DEVI
609 Consultations
735 Téléchargements

Partager

More