Hi all,
I have two questions/requests
Is there any way to define arbitrary loss function for gradient boosting
regression? e.g. using huber penalty
My request is about adding structured output prediction for SVM in the
library. Is there any plan for adding that?

-- 
----------------------------------------------------------------------
#include <stdio.h>
double d[]={9299037773.178347,2226415.983937417,307.0};
main(){d[2]--?d[0]*=4,d[1]*=5,main():printf((char*)d);}
----------------------------------------------------------------------
------------------------------------------------------------------------------
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