Implementing one-class SVM for Novelty Detection

question
package

#1

Hi,
I want to implement one-class SVM in Julia(SVM.jl) very similar to scikit-learn in python (here).

I see that SVM.jl is unmaintained and will be removed from the metadata shortly. Is it going to be removed for sure? What would be the alternative to SVM.jl?


#2

Probably the best course of action is to just go for it and create a new package if the topic is something that interests you. There certainly is room for it and I am sure people would find it useful if it is well made


#3

@Evizero any reason you didn’t mention your
https://github.com/Evizero/KSVM.jl?


#4

Yes. I don’t want to discourage innovation because of the existence of a half finished package. At this state it should not be considered as relevant to anyone who is interested into tackling SVMs themselves.

I started KSVM with a very particular vision of what it should be, but quickly discovered that I need some other building blocks first in order to realize my plan the way I want to. Some parts are almost there (such as LossFunctions.jl), some I still need to flesh out. Basically I am following a bottom up approach that has very little “visible” progress, so I try to keep quiet unless I have something concrete to report. I only have my spare time available for this, but I will get there eventually.


#5

Hi,
After a little bit of research, I found that scikit-learn’s one class SVM is implemented on the top of the famous LibSVM implementation of svm.

I think LIBSVM.jl is the package that I have been looking for. Certainly, native implementation is on my bucket list too :slight_smile:


#6

Just curious, why is SVM.jl no longer maintained? What is the scope of improvement so that we can have it registered again in METADATA?
I would be happy to volunteer for it.


#7

SVM.jl never really worked very well. I wouldn’t bother trying to restore it.


#8

LIBSVM.jl has now a new release v0.1.0 with added one-class SVM support and several other fixes.