hi all,

> In addition to Platt scaling, there is isotonic regression.

I started to play with the calibration based on isotonic regression
this morning:

https://github.com/agramfort/scikit-learn/commit/5b1017df6ca69c7733f9e5c0c26926ce6c1c8775

it's based on mathieu's calibration_plot PR

a sklearn.calibration that contains Platt's method, isotonic and
anything that comes to mind
for calibration could be useful. Maybe we can start to centralize the
gist related to calibration
to motivate a cool contribution :)

Alex

------------------------------------------------------------------------------
Live Security Virtual Conference
Exclusive live event will cover all the ways today's security and 
threat landscape has changed and how IT managers can respond. Discussions 
will include endpoint security, mobile security and the latest in malware 
threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/
_______________________________________________
Scikit-learn-general mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general

Reply via email to