Right... thanks! d
> On 20 Feb 2020, at 11:14, Tiago de Paula Peixoto <[email protected]> wrote: > > Am 19.02.20 um 13:54 schrieb Davide Cittaro: >> Hi all, >> I'm having issues in understanding functions to access level entropy in a >> NSBM, in particular >> >> [state.level_entropy(x) for x in range(len(state.get_levels()))] >> >> whose sum is equal to state.entropy(), is different from >> >> [x.entropy() for x in state.get_levels()] >> >> What is the difference between the two? How can I use both the informations? > > The difference is that BlockState.entropy() will ignore the hierarchical > structure, and will put a flat prior on the edge counts between groups. > NestedBlockState.level_entropy() returns the _correct_ contribution of > each level to the final description length, which accounts for the > hierarchical structure. > > Best, > Tiago > > > -- > Tiago de Paula Peixoto <[email protected]> > _______________________________________________ > graph-tool mailing list > [email protected] > https://lists.skewed.de/mailman/listinfo/graph-tool _______________________________________________ graph-tool mailing list [email protected] https://lists.skewed.de/mailman/listinfo/graph-tool
