This package provide an interface to call libSVM in python easily. An example to use the packags is as follows:
rbf = svmRBF()
trainingfile = 'splice.txt'
rangefile = trainingfile + '.range'
scaledtraining = trainingfile + '.scale'
print('Scaling training data...')
rbf.scale(trainingfile,scaledtraining,rangefile)
testingfile = 'splice.t'
scaledtesting = testingfile + '.scale'
print('Scaling testing data...')
rbf.scalewithrange(testingfile,scaledtesting,rangefile)
print('Cross validation...')
c,g,r = rbf.gridsearch(scaledtraining)
print "best c,g is", c,g
print('Training...')
modelfile = trainingfile + '.model'
rbf.train(c,g,scaledtraining,modelfile)
print('Testing...')
accutest = rbf.predict(scaledtraining,modelfile)
accutrain = rbf.predict(scaledtesting,modelfile)
print "different on gridsearch, trainingdata and testing is", r, accutrain, accutest