def multigaussian(x, mean, stddev):
    tmp = -0.5 * ((x-mean)/stddev)**2
    return np.exp(tmp) / (np.sqrt(2.*np.pi) * stddev)
Returns value of uncorrelated Gaussians at given scalar point.
dataset/ETHPy150Open pybrain/pybrain/examples/supervised/neuralnets+svm/example_mixturedensity.py/multigaussian