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1 2 import os 3 4 import datafunc 5 import svm 6 import preproc 7 import composite 8 import modelSelection 9 import ker 1012 13 chain = composite.Chain([preproc.Rescale(), svm.SVM(**args)]) 14 if Clist is not None : 15 param = modelSelection.Param(chain, 'classifier.C', Clist) 16 return modelSelection.ModelSelector(param) 17 else : 18 return chain1921 22 k = ker.Gaussian() 23 s=svm.SVM(k) 24 chain = composite.Chain([preproc.Rescale(), s]) 25 if gammaList is not None : 26 param = modelSelection.Param(chain, 27 'classifier.kernel.gamma', gammaList) 28 return modelSelection.ModelSelector(param) 29 else : 30 return chain3133 34 measure = 'balancedSuccessRate' 35 if 'measure' in args : 36 measure = args['measure'] 37 k = ker.Gaussian() 38 param = modelSelection.Param(svm.SVM(k), 39 'kernel.gamma', gammaList) 40 return modelSelection.ModelSelector(param, measure = measure)41 42 49
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