Re: [graph-tool] Which state should I copy when doing merge-split on model with weight transformation

Thanks for the quick reply! Great, happy to be of some help. This means that we now get the following: ```python L1 = -state.entropy() L2 = -state_ln.entropy() - np.log(g.ep.weight.a).sum() print("Exponential model:\t", L1) # Exponential model: 7201.52 print("Log-normal model:\t", L2) # Log-normal model: 7230.95 print(u"ln \u039b:\t\t\t", L2 - L1) # ln Λ: 29.42 ``` So it is still true that the exponential model does not provide a better fit for the data, but not by much! Cheers, Jonathan -- Sent from: https://nabble.skewed.de/