def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):
        x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once
        PowX2 = inDataCacheDictionary['PowX_2.0'] # only need to perform this dictionary look-up once
        PowY2 = inDataCacheDictionary['PowY_2.0'] # only need to perform this dictionary look-up once
        PowY4 = inDataCacheDictionary['PowY_4.0'] # only need to perform this dictionary look-up once
        
        a = inCoeffs[0]
        b = inCoeffs[1]

        try:
            temp = -1.0 * x_in * (a % b * PowY2) / numpy.power(PowX2 + a * (PowY2 + PowY4), 1.5)
            return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)
        except:
            return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300
dataset/ETHPy150Open zunzun/pyeq2/Models_3D/Miscellaneous.py/MeanCurvatureOfWhitneysUmbrellaA.CalculateModelPredictions/operator `+` -> `%`