From 5d4cc490801673179bb800a5b6c4b93ce7159a0b Mon Sep 17 00:00:00 2001 From: "Yuan (Terry) Tang" Date: Sat, 24 Feb 2018 13:37:12 -0500 Subject: [PATCH] Update GPU plug-in documentation link (#3130) --- demo/gpu_acceleration/README.md | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/demo/gpu_acceleration/README.md b/demo/gpu_acceleration/README.md index 25841d39b..97d0e2a68 100644 --- a/demo/gpu_acceleration/README.md +++ b/demo/gpu_acceleration/README.md @@ -2,8 +2,6 @@ This demo shows how to train a model on the [forest cover type](https://archive.ics.uci.edu/ml/datasets/covertype) dataset using GPU acceleration. The forest cover type dataset has 581,012 rows and 54 features, making it time consuming to process. We compare the run-time and accuracy of the GPU and CPU histogram algorithms. -This demo requires the [GPU plug-in](https://github.com/dmlc/xgboost/tree/master/plugin/updater_gpu) to be built and installed. +This demo requires the [GPU plug-in](https://xgboost.readthedocs.io/en/latest/gpu/index.html) to be built and installed. The dataset is automatically loaded via the sklearn script. - -