def linear_feed_forward_approximation(self, state_below):

        z = self.beta * (T.dot(state_below,
                               self.ising_weights()) + self.ising_b())

        return z
For CLI use, see usage in __doc__.
dataset/ETHPy150Open lisa-lab/pylearn2/pylearn2/models/dbm/ising.py/BoltzmannIsingHidden.linear_feed_forward_approximation--crossover with--dataset/ETHPy150Open philipbergen/zero/py/zlog.py/main