

def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):
    x_in = inDataCacheDictionary['X']
    PowX2 = inDataCacheDictionary['PowX_2.0']
    PowY2 = inDataCacheDictionary['PowY_2.0']
    PowY4 = inDataCacheDictionary['PowY_4.0']
    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'])) * 1e+300)

dataset/ETHPy150Open zunzun/pyeq2/Models_3D/Miscellaneous.py MeanCurvatureOfWhitneysUmbrellaA.CalculateModelPredictions/original