

def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):
    x_in = inDataCacheDictionary['X']
    a = inCoeffs[0]
    b = inCoeffs[1]
    try:
        temp = (a * (1.0 - numpy.power(b, x_in)))
        return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, a, self)
    except:
        return (numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1e+300)

dataset/ETHPy150Open zunzun/pyeq2/Models_2D/Peak.py BoxLucasA.CalculateModelPredictions/VarMisuse@69/100 `inDataCacheDictionary`->`a`