Am 09.11.18 um 03:42 schrieb Tzu-Chi Yen: > 🧐 Why is `edges_dl` excluded except the highest level?
The `edges_dl` parameter corresponds to the flat prior for the edge counts, i.e. ((B(B+1)/2 E)). We need to turn this off for the intermediate layers, since this is replaced by the SBM at the upper layer. > I expected `edges_dl` at the lowest to be something nonzero, but _less_ than > `69.21645383885243`, i.e. the exact negative logarithm of Eq. (40) of the > PRE paper, using B=6 and e=254 (the number of edges of the “lesmis” > dataset). Am I thinking it the right way? 🧐 <— this is the 2nd question. No, `edges_dl` corresponds precisely to Eq. 40, this is why it needs to be disabled in the intermediate layers. Best, Tiago -- Tiago de Paula Peixoto <[email protected]>
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