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src/a/z/AZOrange-HEAD/azorange/trainingMethods/AZorngCvANN.py   AZOrange(Download)
 
        #compute priors (sample weights)
        priors = self.convertPriors(self.priors, self.trainData.domain.classVar,getDict = True)
        if type(priors) == str: #If a string is returned, there was a failure, and it is the respective error mnessage.
            print priors

src/a/z/AZOrange-HEAD/azorange/trainingMethods/AZorngRF.py   AZOrange(Download)
        if  trainingData.domain.classVar.varType == orange.VarTypes.Discrete:
            cls_count = len(trainData.domain.classVar.values)
            priors = self.convertPriors(self.priors,trainingData.domain.classVar)
            if type(priors) == str: #If a string is returned, there was a failure, and it is the respective error mnessage.
                print priors

src/a/z/AZOrange-HEAD/azorange/trainingMethods/AZorngCvSVM.py   AZOrange(Download)
        self.params.p = self.p
        #Process the priors from a str, list or dict to  a valid list 
        priors = self.convertPriors(self.priors,trainingData.domain.classVar)
        if type(priors) == str: #If a string is returned, there was a failure, and it is the respective error mnessage.
            print priors

src/a/z/AZOrange-HEAD/azorange/trainingMethods/AZorngCvBoost.py   AZOrange(Download)
 
        #compute priors (sample weights)
        priors = self.convertPriors(self.priors, self.trainData.domain.classVar)
        if type(priors) == str: #If a string is returned, there was a failure, and it is the respective error mnessage.
            print priors