def _svm_new(self, kernel_width, c, epsilon):
if self.x == None or self.y == None:
raise Exception("No training data loaded.")
x = RealFeatures(self.x)
y = Labels(self.y)
self.svm = GMNPSVM(c, GaussianKernel(x, x, kernel_width), y)
self.svm.set_epsilon(epsilon)
