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?

Best,

Philipp



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