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src/a/z/AZOrange-HEAD/azorange/trainingMethods/AZorngCvANN.py   AZOrange(Download)
 
        #Convert the ExampleTable to CvMat
        CvMatices = dataUtilities.ExampleTable2CvMat(self.trainData, True)
        mat = CvMatices["matrix"]
        responses = CvMatices["responses"]
        if self.stopUPs > 0:
            #Convert the ExampleTable to CvMat
            CvMatices = dataUtilities.ExampleTable2CvMat(validationSet, True)
            valMat = CvMatices["matrix"]
            valResponses = CvMatices["responses"]

src/a/z/AZOrange-HEAD/azorange/trainingMethods/AZorngRF.py   AZOrange(Download)
            #Create the imputer empty since we will not be using it
            impData = dataUtilities.DataTable(trainData.domain)
            CvMatrices = dataUtilities.ExampleTable2CvMat(trainData)
        else:
            #Create the imputer
            self.imputer = orange.ImputerConstructor_average(trainData)
            impData=self.imputer.defaults
            trainData = self.imputer(trainData)
            CvMatrices = dataUtilities.ExampleTable2CvMat(trainData)

src/a/z/AZOrange-HEAD/azorange/trainingMethods/AZorngCvBayes.py   AZOrange(Download)
        impData=self.imputer.defaults
        #Convert the ExampleTable to CvMat
        CvMatrices = dataUtilities.ExampleTable2CvMat(self.trainData)
        mat = CvMatrices["matrix"]
        responses = CvMatrices["responses"]

src/a/z/AZOrange-HEAD/azorange/trainingMethods/AZorngCvBoost.py   AZOrange(Download)
        impData=self.imputer.defaults
        #Convert the ExampleTable to CvMat
        CvMatrices = dataUtilities.ExampleTable2CvMat(self.trainData)
        mat = CvMatrices["matrix"]
        responses = CvMatrices["responses"]

src/a/z/AZOrange-HEAD/azorange/trainingMethods/AZorngCvSVM.py   AZOrange(Download)
                    self.eps = self.epsC    #Classification eps
        #Convert the ExampleTable to CvMat
        CvMatices = dataUtilities.ExampleTable2CvMat(self.trainData)
        mat = CvMatices["matrix"]
        responses = CvMatices["responses"]