From afa83ff1813f4248d143ffe3c94d6c628fede7f8 Mon Sep 17 00:00:00 2001 From: Fawzi Mohamed <fawzi.mohamed@fhi-berlin.mpg.de> Date: Thu, 22 Nov 2018 15:21:46 +0100 Subject: [PATCH] updating jupyter and creedo links --- www-root/userapi/demos/index.json | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/www-root/userapi/demos/index.json b/www-root/userapi/demos/index.json index 218c022..3264a10 100644 --- a/www-root/userapi/demos/index.json +++ b/www-root/userapi/demos/index.json @@ -192,7 +192,7 @@ "creedo" ] }, - "logicalPath": "/Creedo/index.htm", + "logicalPath": "/Creedo/cM/start/", "title": "Discovering simple descriptors for crystal-structure classification", "top_of_list": false, "updated_at": "", @@ -210,7 +210,7 @@ ], "created_at": "", "description": "In this tutorial, we will use Gaussian process regression, GPR (or equivalently, Kernel Ridge Regression, KRR) to train and predict charges of atoms in small organic molecules.", - "editLink": "/jupyter/notebooks/shared/afekete/tutorial/learning_atomic_charges.ipynb", + "editLink": "/jupyter/cM/start/data/shared/afekete/tutorial/learning_atomic_charges.ipynb", "featured": true, "isPublic": true, "labels": { @@ -308,7 +308,7 @@ ], "created_at": "", "description": "In this tutorial we will be using a machine learning method (clustering) to analyse results of Grain Boundary (GB) calculations of alpha-iron. Along the way we will learn about different methods to describe local atomic environment in order to calculate properties of GBs. We will use these properties to separate the different regions of the GB using clustering methods. Finally we will determine how the energy of the GB is changing according to the angle difference of the regions.", - "editLink": "/jupyter/notebooks/shared/afekete/tutorial/GB_tutorial_Berlin_2017.ipynb", + "editLink": "/jupyter/cM/start/data/shared/afekete/tutorial/GB_tutorial_Berlin_2017.ipynb", "featured": true, "isPublic": true, "labels": { -- GitLab