Merge pull request #5 from terrytangyuan/dev

Some minor additions

Author: perimosocordiae

LICENSE renamed to LICENSE.txt

@@ -1,5 +1,6 @@
 [![Travis-CI Build Status](https://api.travis-ci.org/all-umass/metric_learn.svg?branch=master)](https://travis-ci.org/all-umass/metric_learn)
 [![License](http://img.shields.io/:license-mit-blue.svg?style=flat)](http://badges.mit-license.org)
+
 # metric_learn
 
 Metric Learning algorithms in Python.

README.md renamed to README.rst

@@ -0,0 +1,5 @@
+[bdist_wheel]
+universal = 1 
+
+[metadata]
+description-file = README.rst

setup.cfg

@@ -6,20 +6,30 @@
 setup(name='metric_learn',
       version=version,
       description='Python implementations of metric learning algorithms',
-      author='CJ Carey',
+      author=['CJ Carey', 'Yuan Tang'],
       author_email='[email protected]',
       url='http://github.com/all-umass/metric_learn',
       license='MIT',
       classifiers=[
           'Development Status :: 4 - Beta',
           'License :: OSI Approved :: MIT License',
           'Programming Language :: Python',
+          'Operating System :: OS Independent',
+          'Intended Audience :: Science/Research',
+          'Topic :: Scientific/Engineering'
       ],
       packages=['metric_learn'],
       install_requires=[
           'numpy',
           'scipy',
           'scikit-learn'
       ],
-      test_suite='test'
-      )
+      test_suite='test',
+      keywords=[
+          'Metric Learning', 
+          'Large Margin Nearest Neighbor',
+          'Information Theoretic Metric Learning',
+          'Sparse Determinant Metric Learning',
+          'Least Squares Metric Learning',
+          'Neighborhood Components Analysis'
+      ])