def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):
        x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once
        
        a = inCoeffs[0]
        b = inCoeffs[1]
        c = inCoeffs[2]
        d = inCoeffs[3]

        try:
            temp = a * numpy.exp(-1.0 * x_in + b + c - c*d*numpy.exp(-1.0 * ((x_in + c*numpy.log(d) - b) / c)) / (c*d))
            return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)
        except:
            return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300
dataset/ETHPy150Open zunzun/pyeq2/Models_2D/Peak.py/ExtremeValue4ParameterPeak.CalculateModelPredictions/original