Do you guys have experience with an efficient multiclass SVM package? I am currently using libsvm, but on 300k instances and 200 features it takes a very long time (24+ hours) to train.
Thanks!
Do you guys have experience with an efficient multiclass SVM package? I am currently using libsvm, but on 300k instances and 200 features it takes a very long time (24+ hours) to train.
Thanks!
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With that dimension and that many examples you might not be in luck using an RBF kernel. I would give it a try with the linear kernel or with LIBLINEAR (http://www.csie.ntu.edu.tw/~cjlin/liblinear/)