From a0a8a714dd33152796ef6ee6818d685cad4d01f0 Mon Sep 17 00:00:00 2001
From: Filippo Castelli <37574218+filippocastelli@users.noreply.github.com>
Date: Fri, 1 Feb 2019 14:50:15 +0100
Subject: [PATCH] Update README.md

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 5d70986..d8179f5 100644
--- a/README.md
+++ b/README.md
@@ -7,7 +7,7 @@ The code is loosely inspired on the code from Chapter 18 of Machine Learning: An
 * **GPnetRegressor** provides basic regression functionality for functions defined on graph nodes
 * **GPnetClassfier** provides classification of test nodes, given a set of -1/+1 labels for the training nodes
 
-The only kernel available at the moment is a _squared exponential_ kernel, more kernels and custom kernel composition will be added in the future
+Available kernels are based on graph node kernels by Kondor et al.
 
 **update**: kernel composition is already possible via custom function definitions: "soft" kernel composition is yet to be implemented.