

def getGaus(self, alpha, mue, sigma, x):
    dens = zeros(self.numOGaus)
    for g in range(mue.numOGaus):
        dens[g] = self.getStND(x, mue[g], sigma[g])
    return sum((self.sigmo(alpha) * dens))

dataset/ETHPy150Open pybrain/pybrain/pybrain/tools/mixtures/mogpuremax.py MixtureOfGaussians.getGaus/VarMisuse@32/40 `self`->`mue`