Preparing the package for pypi.

Author: gabikadlecova

.gitignore

@@ -8,6 +8,8 @@
 data/*
 .idea/*
 checkpoint/*
+dist/*
+build/*
 
 **/__pycache__/**
 

LICENSE.md LICENSE.txtLICENSE.md renamed to LICENSE.txt

@@ -12,6 +12,8 @@ The dataset contains 423,624 unique neural networks exhaustively generated and e
 # Usage
 You need to have PyTorch installed.
 
+You can install the package by running `pip install nasbench_pytorch`. The second possibility is to install from source code:
+
 1. Clone this repo
 ```
 git clone https://github.com/romulus0914/NASBench-PyTorch
@@ -63,5 +65,5 @@ Example architecture (picture from the original repository)
 Modified from [NASBench: A Neural Architecture Search Dataset and Benchmark](https://github.com/google-research/nasbench).
 *graph_util.py* and *model_spec.py* are directly copied from the original repo. Original license can be found [here](https://github.com/google-research/nasbench/blob/master/LICENSE).
 
-<a href="#note"></a>	
+<a id="note"></a>
 **Please note that this repo is only used to train one possible architecture in the search space, not to generate all possible graphs and train them.

README.md

@@ -0,0 +1,4 @@
+[metadata]
+long_description = file: README.md
+long_description_content_type = text/markdown
+license_files=LICENSE.txt

setup.cfg

@@ -2,6 +2,8 @@
 
 setuptools.setup(
     name='nasbench_pytorch',
-    version='0.1',
+    version='0.5',
+    license='Apache License 2.0',
+    author='Romulus Hong, Gabriela Suchopárová',
     packages=setuptools.find_packages()
 )