libsvm-python-wrapper's Introduction
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
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