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src/a/z/AZOrange-HEAD/azorange/AZLearnersParamsConfig.py   AZOrange(Download)
 104 =nu-SVR
"""
CvSVMLearner = {'kernel_type' : ["types.IntType", "values", "[0 , 1 , 2 , 3]",['Linear' , 'Polynomial' , 'RBF' , 'Sigmoid'],str(AZOrangeConfig.CVSVMDEFAULTDICT["kernel_type"]),False,False,"Linear\nPolynomial\nRBF\nSigmoid"],\
                   'svm_type' : ["types.IntType", "values", "[100 , 101 , 103 , 104]",['C-SVC' , 'nu-SVC' , 'epsilon-SVR' , 'nu-SVR'],str(AZOrangeConfig.CVSVMDEFAULTDICT["svm_type"]),False,False,"C-SVC\nnu-SVC\nepsilon-SVR\nnu-SVR"],\
                   'gamma' : ["types.FloatType", "values", "miscUtilities.power2Range(3,-15,-2)",[],str(AZOrangeConfig.CVSVMDEFAULTDICT["gamma"]),True,True,"Power of base 2 with power\nfrom -15 to 3 by step of 0.5"],\
                   'C' : ["types.FloatType", "values", "miscUtilities.power2Range(-5,15,2)",[],str(AZOrangeConfig.CVSVMDEFAULTDICT["C"]),True,True,"Power of base 2 with power\nfrom -5 to 15 by step of 2"],\
                   'eps' : ["types.FloatType", "interval", "[0.001 , 0.01]",[],str(AZOrangeConfig.CVSVMDEFAULTDICT["epsC"]),False,True,""],\

src/a/z/AZOrange-HEAD/orange/OrangeWidgets/Classify/OWCvSVM.py   AZOrange(Download)
        for par in ("kernel_type", "svm_type","gamma","C","p","epsC","epsR","stopCrit",\
                        "maxIter","nu","scaleData","scaleClass","priors","coef0","degree"):
            setattr(self, par, AZOC.CVSVMDEFAULTDICT[par])
        if self.svm_type in (103,104):
            self.eps = self.epsR

src/a/z/AZOrange-HEAD/azorange/trainingMethods/AZorngCvSVM.py   AZOrange(Download)
        for par in ("kernel_type", "svm_type","gamma","C","p","epsC","epsR","maxIter",\
	            "stopCrit","nu","scaleData","scaleClass","coef0","degree","priors"):
            setattr(self, par, AZOC.CVSVMDEFAULTDICT[par])
	# if SVMType is set for Classification problems, use epsC else if it is set to regression use epsR
        if self.svm_type in (103,104):