From d72af8dfde7355302a9f9a11ab4d7f0dd900711a Mon Sep 17 00:00:00 2001
From: maxilse <93601203+maxilse@users.noreply.github.com>
Date: Thu, 4 Nov 2021 11:04:49 +0100
Subject: [PATCH] Update hello_world_model.md

---
 docs/hello_world_model.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/hello_world_model.md b/docs/hello_world_model.md
index 10cb56ab4..5074555a1 100644
--- a/docs/hello_world_model.md
+++ b/docs/hello_world_model.md
@@ -7,7 +7,7 @@ We have created this file to demonstrate how to:
 1. Configure the UNet3D implemented in this package
 1. Configure Azure HyperDrive based parameter search
 
-* This model can be trained from the commandline, from the root of the repo: `python InnerEye/runner.py --model=HelloWorld`
+* This model can be trained from the commandline, from the root of the repo: `python InnerEye/ML/runner.py --model=HelloWorld`
 * If you want to test your AzureML workspace with the HelloWorld model:
     * Make sure your AzureML workspace has been set up. You should have inside the folder InnerEye a settings.yml file
       that specifies the datastore, the resource group, and the workspace on which to run