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]

        try:
            temp = 4.0 * a * numpy.exp(-1.0 * (x_in - b) / c) / numpy.square(1.0 + numpy.exp(-1.0 * (x_in - b) / c))
            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/LogisticPeak.CalculateModelPredictions/original