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Radial basis function #308
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LGTM. We can put it to experimental until someone will give us full overview. Please try to keep API simple and low level |
I agree.
Will do. |
Hey guys! I've put up a RBF development repo here. I did this to make the development and debugging easier for me - once I'm happy with it, I'll put it on my Mir fork, and make a PR. For the first version, I'd like to implement global ridge regression method with manually assigned regularization parameter. It performs quite well, and it's easy to implement. I'll be following this tutorial for implementation, since it sums up nicely all details presented in papers on this topic. For now I have implemented most basic version in my repo, but API is still far from what I'd present to you. Also, important reason I've decided to make a temporary repo is that I'm missing matrix inversion in Mir, so I'm using scid's. I suppose inversion is coming up in glas? If yes, is there an ETA? |
Great!
1-2 months. |
Cool, tnx! |
no plan to add the package into the main Mir repo |
Lubeck contains inversion |
Since support vector machine is mentioned in past, I suppose radial basis function network would also be useful feature to have in Mir?
If you agree, I could implement most basic network model. If there is anyone more experienced in this field, I'd be glad to pass the torch, but until that someone is found, I suppose it'd be nice to have most basic implementation that works. How does that sound to you guys?
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