

def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):
    logX = inDataCacheDictionary['LogX']
    logY = inDataCacheDictionary['LogY']
    A = inCoeffs[0]
    B = inCoeffs[1]
    C = inCoeffs[2]
    try:
        temp = numpy.exp(((A + (B * logX)) + (C * logY)))
        return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)
    except:
        return (numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1e+300)

dataset/ETHPy150Open zunzun/pyeq2/Models_3D/Miscellaneous.py RexKelfkens.CalculateModelPredictions/original