diff --git a/setup.py b/setup.py
index 6f44942..98abd06 100644
--- a/setup.py
+++ b/setup.py
@@ -1,54 +1,54 @@
 import os
 from setuptools import setup, find_packages
 
 with open('README.md') as f:
     readme = f.read()
 
 with open('LICENSE') as f:
     license = f.read()
 
-VERSION = "0.5.0.0"
+VERSION = "0.5.0.1"
 
 ROOT = os.path.dirname(os.path.realpath(__file__))
 
 new_init = []
 with open(os.path.join(ROOT, *("hyppopy", "__init__.py")), "r") as infile:
 	for line in infile:
 		new_init.append(line)
 for n in range(len(new_init)):
 	if new_init[n].startswith("__version__"):
 		split = line.split("=")
 		new_init[n] = "__version__ = '" + VERSION + "'\n"
 with open(os.path.join(ROOT, *("hyppopy", "__init__.py")), "w") as outfile:
 	outfile.writelines(new_init)
 
 
 setup(
     name='hyppopy',
     version=VERSION,
     description='Hyper-Parameter Optimization Toolbox for Blackboxfunction Optimization',
     long_description=readme,
     # if you want, put your own name here
     # (this would likely result in people sending you emails)
     author='Sven Wanner',
     author_email='s.wanner@dkfz.de',
     url='',
     license=license,
     packages=find_packages(exclude=('tests', 'doc')),
     # the requirements to install this project.
     # Since this one is so simple this is empty.
     install_requires=[
 		'bayesian-optimization>=1.0.1',
 		'hyperopt>=0.1.2',
 		'matplotlib>=3.0.3',
 		'numpy>=1.16.2',
 		'optuna>=0.9.0',
 		'Optunity>=1.1.1',
 		'pandas>=0.24.2',
 		'pytest>=4.3.1',
 		'scikit-learn>=0.20.3',
 		'scipy>=1.2.1',
 		'visdom>=0.1.8.8'
 	],
 )