SVM packages for Torch7.
Reimplementation of Leon Bottou's svmsgd and svmasgd (https://leon.bottou.org/projects/sgd). This implementation is 2-10 times slower depending on the sparsity of the input.
This is wrapper around the well known LIBLINEAR library (https://www.csie.ntu.edu.tw/~cjlin/liblinear/).
Only Torch7 (https://github.com/andresy/torch)
git clone git:https://github.com/koraykv/torch-svm.git
cd torch-svm
torch-pkg deploy
require 'svm'
d = svm.ascread('liblinear/liblinear/heart_scale')
model = liblinear.train(d)
labels,accuracy,dec = liblinear.predict(d,model)
- svmsgd and svmasgd implementations are supposed to be complete.
- LIBLINEAR interface is supposed to be complete, I did not check all the possible flags. If you find that something is not working, let me know.
- LIBSVM interface is mostly complete, but as of now passing in a precomputed kernel option is missing.