

def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):
    x_in = inDataCacheDictionary['X']
    a = inCoeffs[0]
    b = inCoeffs[1]
    c = inCoeffs[2]
    d = inCoeffs[3]
    try:
        temp = (a * numpy.exp((((- 1.0) * numpy.square((ln_2 * numpy.log(((((x_in - b) * (numpy.square(d) - 1.0)) / (c * d)) + 1.0))))) / numpy.square(numpy.log(d)))))
        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 LogNormal4Parameter.CalculateModelPredictions/original