PySVM might have been a better name, since it looks like it only does SVM and kernel methods. I haven't used this package, but I'll recommend libsvm and libline

PySVM might have been a better name, since it looks like it only does SVM and kernel methods. I haven't used this package, but I'll recommend libsvm and liblinear because they're fast and have wrappers for just about every language you want, including Java, Ruby, Matlab, and Python http://www.csie.ntu.edu.tw/~cjlin/libsvm/#python http://www.csie.ntu.edu.tw/~cjlin/libsvm/#python If you're doing large scale linear classification, liblinear is especially awesome and fast. http://www.csie.ntu.edu.tw/~cjlin/liblinear/ http://www.csie.ntu.edu.tw/~cjlin/liblinear/ EDIT: From the PyML documentation: "By default the libsvm solver is used in training. To use the PyML SMO optimizer either set the optimizer attribute to ’mysmo’ or instantiate an svm instance as svm.SVM(optimizer = ’mysmo’). Note that for a non-vector dataset, the default libsvm optimizer cannot be used and the PyML native SMO implementation is automatically used instead (it is slower than libsvm so is not the default)"