

def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):
    x_in = inDataCacheDictionary['X']
    a = inCoeffs[0]
    b = inCoeffs[1]
    c = inCoeffs[2]
    d = inCoeffs[3]
    f = inCoeffs[4]
    try:
        temp = (a * numpy.exp(((- 0.5) * numpy.power((numpy.log(((x_in - f) / b)) / c), d))))
        return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)
    except:
        return (numpy.ones(len(x_in['DependentData'])) * 1e+300)

dataset/ETHPy150Open zunzun/pyeq2/Models_2D/Peak.py WeibullPeak_ModifiedShifted.CalculateModelPredictions/VarMisuse@133/174 `inDataCacheDictionary`->`x_in`