Open in new window / Try shogun cloud
--- Log opened Sat Jan 14 00:00:41 2017
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mikelinglisitsyn: wiking hi, what's the difference between left hand side and right hand side features?07:49
mikelingwhy we need to define features as left and right hand side ?07:50
lisitsynmikeling: that's a bit tricky13:04
lisitsynthe thing is that kernels and distances are defined with two arguments13:04
lisitsynlike K(x,x')13:04
lisitsynso there is the first thing and there is the second thing or left and right13:05
lisitsynwith a bit of strange training requires you to have K(train, train)13:05
lisitsynso lhs==rhs==train13:05
lisitsynbut when you apply kernel SVM you still need your train set13:06
lisitsynin this case it becomes K(train, test)13:06
lisitsynbecause you're comparing train examples with test examples13:06
mikeling lisitsyn Oh sorry, I just afk for a while, forget to change me irc status to afk.....14:06
mikelingbut how about the situation in KNN, what's the meaning of lhs and rhs in https://github.com/shogun-toolbox/shogun/blob/develop/src/shogun/multiclass/KNN.cpp#L14114:13
mikelingfurthermore, if we only separate features as lhs and rhs, how could we deal with the numbers of features?14:14
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mikelinglisitsyn: Hmmm, As to KNN,  If I have a sample named x1 and can been represented as a  4 dimensions vector like <1, 3, 4, 5>, so when I want to use a data set (x2, x3, x4, x5.... which also are 4 dimensions vectors) to classify x1, which is the lhs feature and which are rhs features?15:04
mikelingx1 == lhs and x2 == rhs ?15:04
mikelinglisitsyn: Shogun is the first ML tool box I used, so I need to learn some more things to get used it :)15:08
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--- Log closed Sun Jan 15 00:00:42 2017