From a73126c1a49b4ed3a7517924b8000c8fa733c966 Mon Sep 17 00:00:00 2001
From: Salim Amoukou <40361886+salimamoukou@users.noreply.github.com>
Date: Fri, 18 Feb 2022 17:21:29 +0100
Subject: [PATCH 1/2] Update README.md

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

diff --git a/README.md b/README.md
index 814d53e..e96177b 100644
--- a/README.md
+++ b/README.md
@@ -5,6 +5,8 @@ ACV is a python library that aims to explain **any machine learning models** or
 * It gives **local rule-based** explanations for any model or data.
 * It provides **a better estimation of Shapley Values for tree-based model** (more accurate than [path-dependent TreeSHAP](https://github.com/slundberg/shap])). 
  It also proposes new Shapley Values that have better local fidelity.
+    * and the **correct way of computing Shapley Values of categorical variables after encoding 
+    (eg., One Hot or Dummy)** 
 
 We can regroup the different explanations in two groups: **Agnostic Explanations** and **Tree-based Explanations**.
 

From d0138d9be29f6024fc895b61de0c4f590142261b Mon Sep 17 00:00:00 2001
From: Salim Amoukou <40361886+salimamoukou@users.noreply.github.com>
Date: Fri, 18 Feb 2022 17:23:46 +0100
Subject: [PATCH 2/2] Update README.md

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

diff --git a/README.md b/README.md
index e96177b..dd7be08 100644
--- a/README.md
+++ b/README.md
@@ -10,7 +10,7 @@ ACV is a python library that aims to explain **any machine learning models** or
 
 We can regroup the different explanations in two groups: **Agnostic Explanations** and **Tree-based Explanations**.
 
-See the papers [here](https://github.com/salimamoukou/acv00/tree/main/papers).
+See the papers [here](https://salimamoukou.github.io/).
  
 ### Installation