On 02.10.2017 17:36, P-M wrote:
That makes sense, thank you. I take it setting it at too large a value thus is not so much of a problem as the top x layers will then simply be layers containing a single group, setting it too small would however be a problem in preventing a sufficient hierarchy. What happens if we set no value? For example by saying
state = gt.minimize_nested_blockmodel_dl(g) state = state.copy(sampling=True)
instead of
state = gt.minimize_nested_blockmodel_dl(g) state = state.copy(bs=bs, sampling=True)
Is there an impact on the results quality to be expected? Or is there a performance penalty?
In this case the hierarchy depth will be limited by the current value in state. This is probably not a good idea, as it might fluctuate to slightly larger values in the posterior. There is no performance penalty in increasing the hierarchy depth (within reason), as the the time it takes to update a hierarchy level with very few nodes/groups is negligible. -- Tiago de Paula Peixoto <tiago@skewed.de>