TensorSVM is a high performance GPU based SVM tool.
Sample cmdline:
./tensorsvm-train -k 32 -c 32 -g 0.01 -t 2 SUSY.training SUSY.model
./tensorsvm-train -tensorcore -k 32 -c 32 -g 0.01 -t 2 SUSY.training SUSY.model
Rank: -k C: -c gamma: -g type: -t 0 Linear kernel, -t 2 RBF kernel Enabling TensorCore: -tensorcore 'SUSY.training' is training file path 'SUSY.model' is output model
We are using ThunderSVM https://github.com/Xtra-Computing/thundersvm to predict.
./thundersvm-predict SUSY.testing SUSY.model output
Sample cmdline:
./tensorsvm-train-mixed -k 400 -c 32 -g 0.0002 -t 2 /home/pwu6/LIBSVM_DATA/covtype.libsvm.binary.1 && /home/pwu6/thundersvm/build/bin/thundersvm-predict /home/pwu6/LIBSVM_DATA/covtype.libsvm.binary.2 /home/pwu6/LIBSVM_DATA/covtype.libsvm.binary.1.model output