Re: [graph-tool] Nested Block State hierarchy level after mcmc_equilibrate

I have a question related to this The documentation example suggests a hierarchy set to 10 levels bs = state.get_bs() # Get hierarchical partition. bs += [np.zeros(1)] * (10 - len(bs)) # Augment it to L = 10 with # single-group levels. state = state.copy(bs=bs, sampling=True) Is there some golden rule (which I obviously don’t know) to choose such dimension? Is 10 always a good choice? More important: why I need to modify the length before mcmc_equilibrate()? d -- Sent from: http://main-discussion-list-for-the-graph-tool-project.982480.n3.nabble.com/