Very simple code for training SVMs in the primal. Works particularly well on sparse linear problems. In the non-linear case the entire kernel matrix needs to be computed, so for large problems it is better to use the reduced expansion method that is also included in the distribution.
- Changes to previous version:
Initial Announcement on mloss.org.
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