diff --git a/README.md b/README.md
index 4a65eaf2cea33b7ad4f9b97586504306e6acaa54..20b1e0cfc778999f701e2bdf40709595eb28fd4e 100644
--- a/README.md
+++ b/README.md
@@ -5,7 +5,7 @@ Python implementation of the 2L-VKOGA algorithm, which uses a kernel optimizatio
 
 ## Installation
 
-pip install git+https://gitlab.mathematik.uni-stuttgart.de/pub/ians-anm/2l-vkoga@v0.1.1
+pip install git+https://gitlab.mathematik.uni-stuttgart.de/pub/ians-anm/2l-vkoga@v0.1.2
 
 
 ## Usage
diff --git a/setup.py b/setup.py
index 60dd434a7605929b43a2762af12733a332054a85..13a5f832a106fbde1b1f3dc8ef61a5f0da78e04c 100644
--- a/setup.py
+++ b/setup.py
@@ -2,12 +2,12 @@ from setuptools import setup
 
 setup(
     name='2L-VKOGA',
-    version='0.1.1',    
+    version='0.1.2',    
     description='Python implementation of the two-layered (2L) Vectorial Kernel Orthogonal Greedy Algorithm',
     url='https://gitlab.mathematik.uni-stuttgart.de/pub/ians-anm/2l-vkoga',
     author='Tizian Wenzel',
     author_email='tizian.wenzel@mathematik.uni-stuttgart.de',
-    license='GNU v3.ß',
+    license='GNU v3.0',
     packages=['vkoga_2L'],
     install_requires=['numpy==1.24.1', 'torch==2.1.1', 'matplotlib==3.7.2', 'scipy==1.11.4', 'scikit-learn==1.3.2'],
     classifiers=[