def multigaussian(x, mean, stddev):
    tmp = -0.5 * ((x-mean)/stddev)**2
    return np.exp(tmp) / (np.sqrt(2.*np.pi) * stddev)
Drop the `node`.
dataset/ETHPy150Open pybrain/pybrain/examples/supervised/neuralnets+svm/example_mixturedensity.py/multigaussian--crossover with--dataset/ETHPy150Open PyTables/PyTables/tables/file.py/NodeManager.drop_node