On 09.08.2017 18:04, topinsky wrote: > I attached the plots. As you can see the model always use a few (nonempty) > blocks from 6 to 9. > But at the same time amount of different marginal states (with positive > probabilities) > for some vertices are around 70 (almost the all potential 77 = > g.num_vertices()). > Which means that during independent runs model can get new set of 6 to 9 > blocks but > just with some other labels of it. This is what I meant by: > "May be it's just the result of independent launches of mcmc algorithm and > random nature of groups labelling?"
Oh, the actual vertex labels are not meaningful. You can just re-label them in a contiguous range before computing the histogram. > Is there any way how to do sampling without specifying exact B? > But rather with sampling of B as it described in > https://arxiv.org/pdf/1705.10225.pdf Ch. IV. ? This is exactly what happens; this is why your histogram has many values of non-empty groups. (The number of total groups, including empty ones, will always grow as necessary.) Best, Tiago -- Tiago de Paula Peixoto <ti...@skewed.de>
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