Hi,May you tell me if you are interested by this measure (see my previous mail 
below)? In which part of scikit-learn may I develop it : clustering, feature 
selection?Thanks,CéciliaHi,I have developped a script on mutual information 
estimation based on Renyi entropy Cauchy-Schwartz divergence (and Parzen-Window 
function for continous variables).This script allows to estimate MI between two 
disctete, continous and mixed (discrete and continous) variables. I'll plan to 
first parallelize the code and second to improve the code in order to estime MI 
between more than two features.
If you are interested by this script, I can push the first version and modify 
it according to your feedback.
Let me know.Greetings,Cécilia Damon                                       
------------------------------------------------------------------------------
Download BIRT iHub F-Type - The Free Enterprise-Grade BIRT Server
from Actuate! Instantly Supercharge Your Business Reports and Dashboards
with Interactivity, Sharing, Native Excel Exports, App Integration & more
Get technology previously reserved for billion-dollar corporations, FREE
http://pubads.g.doubleclick.net/gampad/clk?id=190641631&iu=/4140/ostg.clktrk
_______________________________________________
Scikit-learn-general mailing list
Scikit-learn-general@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general

Reply via email to