From a00096ea2e75153d2a188a02af39a526bb5868c7 Mon Sep 17 00:00:00 2001 From: Yuya Yoshikawa Date: Wed, 9 Feb 2022 01:08:20 +0900 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 5bdfcae..a453671 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # GPX -![GPX example on California housing dataset](https://raw.githubusercontent.com/yuyay/gpx/image/california_example.png) +![GPX example on California housing dataset](https://raw.githubusercontent.com/yuyay/gpx/image/california_example.jpg) GPX is a Gaussian process regression model that can output the feature contributions to the prediction for each sample, which is implemented based on the following paper: **Yuya Yoshikawa, and Tomoharu Iwata. "[Gaussian Process Regression With Interpretable Sample-Wise Feature Weights.](https://ieeexplore.ieee.org/abstract/document/9646444)" IEEE Transactions on Neural Networks and Learning Systems (2021).**