

def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):
    x_LogX = inDataCacheDictionary['LogX']
    a = inCoeffs[0]
    b = inCoeffs[1]
    c = inCoeffs[2]
    try:
        temp = (a * numpy.exp(((- 0.5) * numpy.square(((x_LogX - b) / c)))))
        return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)
    except:
        return (numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1e+300)

dataset/ETHPy150Open zunzun/pyeq2/Models_2D/Peak.py LogNormalA.CalculateModelPredictions/original