Open in new window / Try shogun cloud
--- Log opened Fri Dec 11 00:00:24 2015
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@wikinglisitsyn: yo05:49
lisitsynwiking: hey05:49
lisitsynwiking: we're at nips missing you05:50
lisitsynno fun05:50
@wikinghahaha05:50
lisitsynno viktor no fun05:50
@wikingyeah exactly :D05:51
@wikingbut back to seriousness05:51
@wikingwe have some things going on with cmake05:51
@wikingwhen do you want to cut the release?05:51
@wikingmid/end-jan?05:51
@wikingor earlier?05:52
lisitsynwiking: yes05:57
lisitsynjan would be nice05:57
lisitsynwiking: you made fun of me but there is a point ;)05:57
lisitsynI mean if we get no release they would have some thought whether it is worth05:57
@wiking:>06:13
@wikingit's worth06:13
@wikingalways :>06:13
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lisitsynwiking: why on earth you miss nips06:48
lisitsynI will write an angry mail to your boss06:49
lisitsynsuch things should not happen in 201506:49
@wikingexactly!06:51
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@besser82lisitsyn, greetz goes out to NIPS!15:37
@besser82lisitsyn, and Prof. Gretton...  =)15:37
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BlergFarmHello22:10
BlergFarmanyone around this afternoon?22:11
BlergFarmWell, if there is someone here, I have a question about doing model selection for an SVM22:12
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BlergFarmAnyone awake?22:47
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BlergFarmOk, Guess not22:50
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lisitsynHeikoS: ha23:00
BlergFarmHi there23:01
BlergFarmHow are you gentlemen today?23:02
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BlergFarmI have a couple questions about model selection with SVMs23:02
lisitsynBlergFarm: sitting on the floor of overcrowded room at NIPS :)23:02
BlergFarmHa!23:02
lisitsynyeah shoot23:02
BlergFarmI've used the grid search model selection to do my parameter optimization with LibSVR before.  I was wondering if there was any way to use the gradient model selection framework for that sort of thing, and if so, how would I go about it, since I can find no examples.23:04
lisitsynoh IIRC not really for now23:04
lisitsynbecause there is no gradient information for SVM23:04
BlergFarmOk, thanks23:05
lisitsynBlergFarm: it is mainly for GPs23:06
lisitsynbecause there is some gradient for them23:06
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BlergFarmHypothetically, if one could find some sort of error bound written in terms of the parameters, could that function be used to supply gradient information?23:17
--- Log closed Sat Dec 12 00:00:25 2015