include setup.py file

README.md

@@ -9,6 +9,8 @@ LensKit-Auto is built as a wrapper around the Python [LensKit](https://lkpy.read
 recommender-system library. It automates algorithm selection and hyper parameter optimization an can build ensemble
 models based on the LensKit models.
 
+LensKit-Auto is currently developed and tested only on Linux systems. 
+
 ## Resources
 
 - Documentation: [LensKit-Auto Documenatation](https://lenskit-auto.readthedocs.io/en/latest/index.html)
@@ -26,8 +28,7 @@ pip install lkauto
 ### Conda Install
 
 1. Create conda environment
-2. Install pip
-3. Follow the Pip Install subchapter to install lenskit-Auto in your conda environment
+2. Follow the Pip Install subchapter to install lenskit-auto in your conda environment
 
 ## Getting Started
 

setup.py

@@ -0,0 +1,33 @@
+from pathlib import Path
+from setuptools import setup, find_packages
+
+SHORT_DESCRIPTION = """LensKit-Auto is built as a wrapper around the Python LensKit recommender-system library. It automates algorithm selection and hyper parameter optimization an can build ensemble models based on the LensKit models."""
+
+this_directory = Path(__file__).parent
+long_description = (this_directory / "README.md").read_text()
+
+setup(
+    name="lkauto",
+    version="0.1.1",
+    author="Tobias Vente",
+    python_requires=">=3.8, <=3.9",
+    packages=find_packages(),
+    install_requires=[
+        "smac~=1.4",
+        "matplotlib~=3.6",
+        "lenskit>=0.14.2",
+        "numpy==1.21.6",
+        "tables~=3.8",
+        "typing~=3.5"
+    ],
+    extras_require={
+        "doc": ["nbsphinx==0.8.9", "sphinx-rtd-theme==1.*", "numpy==1.21.6", "Jinja2<3.1"],
+        "test": ["pytest>=6.2.5", "pytest-cov>=2.12.1"],
+    },
+    entry_points={},
+    description=SHORT_DESCRIPTION,
+    long_description=long_description,
+    long_description_content_type="text/markdown",
+    url="https://github.com/ISG-Siegen/lenskit-auto",
+    project_urls={"Documentation": "https://lenskit-auto.readthedocs.io"},
+)