evizero / ksvm.jl Goto Github PK
View Code? Open in Web Editor NEWSupport Vector Machines (SVM) in pure Julia
License: Other
Support Vector Machines (SVM) in pure Julia
License: Other
Win7 , on win 110 with Julai 1.0 the same problem
(v0.7) pkg> add KSVM
ERROR: The following package names could not be resolved:
name=uuid
.I could use your opinion on this package @lindahua . Basically, so far I implemented a Linear SVM based on Regression.jl. I think SVMs deserve its own package, because there are a lot of specialized algorithms, such as dual coordinate descent, (which is the one I implemented thus far).
I implemented it in a way that you can also use the standard Regression.jl solver for the LinearSVM case.
a = hcat(rand(10)+0,rand(10)+2)
b = hcat(rand(10)+2, rand(10)+0)
X = vcat(a,b)'
Y = vcat(ones(10),ones(10)*-1)
train = randbool(size(X,2))
ret = Regression.solve(hingereg(X[:,train], Y[train]; bias = 0.0),
reg = SqrL2Reg(1.0e-2),
solver = DualCoordinateDescent())
I am not yet sure how to fit the kernel SVMs into this design, but I will think about it. Probably over the prediction function
Any opinion on this?
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