From 94759847784eb21c0773c10b57acc4bcd5912177 Mon Sep 17 00:00:00 2001 From: Deyu Ming Date: Sat, 14 Dec 2024 21:33:07 +0000 Subject: [PATCH] Update README.md --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 3b17670..fb25ca3 100644 --- a/README.md +++ b/README.md @@ -29,9 +29,9 @@ The R package `dgpsi` provides R interface to Python package [`dgpsi`](https://g * Multi-core predictions and validations for GP, DGP, and Linked (D)GP emulators. * Sequential designs for (D)GP emulators and bundles of (D)GP emulators. * Automatic pruning of DGP emulators, both statically and dynamically. -* [![Feature Badge](https://img.shields.io/badge/New-In%20v2.5.0-orange)](https://mingdeyu.github.io/dgpsi-R/) [Large-scale GP, DGP, and Linked (D)GP emulations](https://mingdeyu.github.io/dgpsi-R/articles/large_scale_emulation.html). -* [![Feature Badge](https://img.shields.io/badge/New-In%20v2.5.0-orange)](https://mingdeyu.github.io/dgpsi-R/) [Scalable DGP classification using Stochastic Imputation](https://mingdeyu.github.io/dgpsi-R/articles/classification.html). -* [![Feature Badge](https://img.shields.io/badge/New-In%20v2.5.0-orange)](https://mingdeyu.github.io/dgpsi-R/) [Bayesian optimization](https://mingdeyu.github.io/dgpsi-R/articles/bayes_opt.html). +* [![Feature Badge](https://img.shields.io/badge/New-v2.5.0-orange)](https://mingdeyu.github.io/dgpsi-R/) [Large-scale GP, DGP, and Linked (D)GP emulations](https://mingdeyu.github.io/dgpsi-R/articles/large_scale_emulation.html). +* [![Feature Badge](https://img.shields.io/badge/New-v2.5.0-orange)](https://mingdeyu.github.io/dgpsi-R/) [Scalable DGP classification using Stochastic Imputation](https://mingdeyu.github.io/dgpsi-R/articles/classification.html). +* [![Feature Badge](https://img.shields.io/badge/New-v2.5.0-orange)](https://mingdeyu.github.io/dgpsi-R/) [Bayesian optimization](https://mingdeyu.github.io/dgpsi-R/articles/bayes_opt.html). ## Getting started * Check [A Quick Guide to dgpsi](https://mingdeyu.github.io/dgpsi-R/articles/dgpsi.html) to get started with the package.