ChanServ changed the topic of #mlpack to: "mlpack: a fast, flexible machine learning library :: We don't always respond instantly, but we will respond; please be patient :: Logs at http://www.mlpack.org/irc/
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< travis-ci>
shrit/ensmallen#36 (early_stopping - 8fff9e8 : shrit): The build was broken.
< sakshamb189[m]>
Hi, Himanshu Pathak (Gitter) let's have a meet today or tomorrow at 7pm?
< himanshu_pathak[>
sakshamb189: Aah Sorry again I did'nt checked the messages. So bad it is every time I screw things up
< himanshu_pathak[>
:(
< himanshu_pathak[>
I am stuck at a problem with hadling the prediction when using kernel svm. Everything is fine when I am using linear svm but when using kernel I was not able to scores.
< himanshu_pathak[>
That's why kernel svm is failing with concentric circles datasets
< himanshu_pathak[>
I need to find a way to set scores when using any kernel function.
< himanshu_pathak[>
* I am stuck at a problem with handling the prediction when using kernel svm. Everything is fine when I am using linear svm but when using kernel I was not able to set scores.
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< yashwants19[m]>
Hey everyone, here is the link for my weekly blog. Kindly share your views.
< rcurtin>
zoq: thank you for setting this up! this is awesome
< rcurtin>
it is clear I am the weak link when it comes to meeting announcements (maybe announcements in general!)
< rcurtin>
a bot will be much more reliable :)
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< shrit[m]>
rcurtin You are right, when I do make doc on my machine I detect different errors
< rcurtin>
yeah, doxygen behaves differently with different versions :)
< rcurtin>
but in any case your latest commit passed the LaTeX documentation checks so I think we are good to go :)
< rcurtin>
I'm just gonna wait on the other ones because I am paranoid but I really don't expect that there will be any issues
< rcurtin>
thank you for being so patient with this whole process---what you were working on touches *lots* of different parts of the codebase, so it's a little inevitable that there are all kinds of unforeseen issues :(