990c540af3d7e35ca190ff237170c1374b1d8ecd,paysage/models/hidden.py,Model,mcstep,#Model#Any#Any#Any#,220

Before Change

            [self.weights[i].W()],
            beta)

        hid = self.layers[i+1].sample_state()

        self.layers[i].update(
            [self.layers[i+1].rescale(hid)],
            [self.weights[i].W_T()],

After Change

            new state

        
        return self._alternating_update("sample_state", state, beta, skip_layers)

    def markov_chain(self, n, state, beta=None, skip_layers=[]):
        
        Perform multiple Gibbs sampling steps in alternating layers.

Instances