Updated Readme

bhargavvader · Mar 25, 2017 · e069186 · e069186
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 ## pycobra
 
-pycobra is a python module which implements the COBRA algorithm described by (Biau, Fischer, Guedj and Malley [2016], COBRA: A combined regression strategy, Journal of Multivariate Analysis)[http://www.sciencedirect.com/science/article/pii/S0047259X15000950]. 
+pycobra is a python library which implements the COBRA algorithm described in the [paper](http://www.sciencedirect.com/science/article/pii/S0047259X15000950) by Biau, Fischer, Guedj and Malley [2016], COBRA: A combined regression strategy, Journal of Multivariate Analysis.
 
 The [COBRA algorithm](https://cran.r-project.org/web/packages/COBRA/index.html) is a aggregation of predictors technique which can be used to solve regression problems. pycobra also offers various visualisation and diagnostic methods built on top of matplotlib which lets the user analyse and compare different regression machines with COBRA. 
 

diff --git a/pycobra/visualisation.py b/pycobra/visualisation.py
@@ -126,6 +126,7 @@ def gen_machine_colors(only_colors=False, num_colors=None, indice_info=None, rgb
 
 def voronoi_finite_polygons_2d(vor, radius=None):
     """
+    Code originally written by pv: https://gist.github.com/pv/8036995.
     Helper method for voronoi.
     Reconstruct infinite voronoi regions in a 2D diagram to finite
     regions.