skent259 / mildsvm

Multiple Instance Learning with Distributions, SVM

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Add linear kernel method in kme

skent259 opened this issue · comments

It seems possible that different kernels could be useful in kme() and the code is set up decently to allow for that. The big problem is that this would require a new parameter for many of the different methods, though maybe this could get pushed into the ... argument. Sigma get's passed to it anyways

Need to think about this more. I think that all of the functions that use kme have a kernel matrix that can be passed, so in theory, this issue isn't urgent. But it would be better to tackle before the first release if it's going to get tackled.