

def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):
    x_in = inDataCacheDictionary['X']
    Gb = inCoeffs[0]
    mu = inCoeffs[1]
    B = inCoeffs[2]
    Vbmax = inCoeffs[3]
    sigma_b = inCoeffs[4]
    try:
        temp = ((Gb * numpy.power((x_in / mu), (numpy.log((mu / x_in)) / (B * B)))) + ((Vbmax * x_in) / (x_in + temp)))
        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 Hamilton.CalculateModelPredictions/VarMisuse@107/148 `sigma_b`->`temp`