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 <tiago@skewed.de>