def next(self):
nxt = MultipleChainMCMC.next(self) # get the next one
idx = self.chain_idx
if nxt not in self.seen:
self.chainZ[idx] = logplusexp(self.chainZ[idx], nxt.posterior_score)
self.seen.add(nxt)
# # Process the situation where we need to re-organize
if self.nsamples % (self.within_steps * self.nchains) == 0 and self.nsamples > 0:
self.refresh()
self.nsamples += 1
return nxt
def next(self):
nxt = MultipleChainMCMC.next(self) # get the next one
idx = self.chain_idx
if nxt not in self.seen:
self.chainZ[idx] = logplusexp(self.chainZ[idx],
nxt.posterior_score)
self.seen.add(nxt)
# # Process the situation where we need to re-organize
if self.nsamples % (self.within_steps *
self.nchains) == 0 and self.nsamples > 0:
self.refresh()
self.nsamples += 1
return nxt
