From 8d34db3e3d34695ce4aac376022af198022cf967 Mon Sep 17 00:00:00 2001
From: Claudio Salvatore Arcidiacono
 <22871978+ClaudioSalvatoreArcidiacono@users.noreply.github.com>
Date: Thu, 12 Dec 2024 16:06:15 +0100
Subject: [PATCH] Improve documentation

---
 README.md               | 20 ++++++++++----------
 docs/index.md           | 20 ++++++++++----------
 mkdocs.yml              |  1 +
 sklearo/encoding/woe.py | 20 ++++++++++----------
 4 files changed, 31 insertions(+), 30 deletions(-)

diff --git a/README.md b/README.md
index a9747b2..1d085e4 100644
--- a/README.md
+++ b/README.md
@@ -34,16 +34,16 @@ encoder = WOEEncoder()
 encoder.fit(df[["category"]], df["target"])
 encoded = encoder.transform(df[["category"]])
 print(encoded)
-category
-0 -0.223144
-1 -0.223144
-2 -0.223144
-3  1.029619
-4  1.029619
-5  1.029619
-6  1.029619
-7  1.029619
-8  1.029619
+   category
+0 -0.916291
+1 -0.916291
+2 -0.916291
+3  0.470004
+4  0.470004
+5  0.470004
+6  0.470004
+7  0.470004
+8  0.470004
 ```
 
 ## Features
diff --git a/docs/index.md b/docs/index.md
index b632a1e..ea40adc 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -30,16 +30,16 @@ encoder = WOEEncoder()
 encoder.fit(df[["category"]], df["target"])
 encoded = encoder.transform(df[["category"]])
 print(encoded)
-category
-0 -0.223144
-1 -0.223144
-2 -0.223144
-3  1.029619
-4  1.029619
-5  1.029619
-6  1.029619
-7  1.029619
-8  1.029619
+   category
+0 -0.916291
+1 -0.916291
+2 -0.916291
+3  0.470004
+4  0.470004
+5  0.470004
+6  0.470004
+7  0.470004
+8  0.470004
 ```
 
 ## Features
diff --git a/mkdocs.yml b/mkdocs.yml
index 29f34e9..b9037cb 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -1,5 +1,6 @@
 site_name: sklearo
 site_url: https://claudiosalvatorearcidiacono.github.io/sklearo/
+repo_url: https://github.com/ClaudioSalvatoreArcidiacono/sklearo
 
 theme:
   name: material
diff --git a/sklearo/encoding/woe.py b/sklearo/encoding/woe.py
index 6e0ffce..dd1c917 100644
--- a/sklearo/encoding/woe.py
+++ b/sklearo/encoding/woe.py
@@ -113,16 +113,16 @@ class WOEEncoder(BaseTargetEncoder):
         encoder.fit(df[["category"]], df["target"])
         encoded = encoder.transform(df[["category"]])
         print(encoded)
-        category
-        0 -0.223144
-        1 -0.223144
-        2 -0.223144
-        3  1.029619
-        4  1.029619
-        5  1.029619
-        6  1.029619
-        7  1.029619
-        8  1.029619
+           category
+        0 -0.916291
+        1 -0.916291
+        2 -0.916291
+        3  0.470004
+        4  0.470004
+        5  0.470004
+        6  0.470004
+        7  0.470004
+        8  0.470004
         ```
     """