Hello,
I have a question about minimize_nested_blockmodel_dl(). The below is my code:
state_args = {'clabel': node_types, 'pclabel': node_types}
multilevel_mcmc_args = {'niter': niter, 'beta': beta}
state = gt.minimize_nested_blockmodel_dl(
g,
deg_corr = True,
overlap = False,
state_args = state_args,
multilevel_mcmc_args = multilevel_mcmc_args
)
And I encountered an error that "minimize_nested_blockmodel_dl got an
unexpected keyword argument 'multilevel_mcmc_args'". I removed
"multilevel_mcmc_args" and it works. And I also tried example
"minimize_blockmodel_dl(G, multilevel_mcmc_args=dict(B_min=4, B_max=4))" in
https://git.skewed.de/count0/graph-tool/-/issues/725 and I encountered the same
error. I took a look of the source code of graph-tool and I did not find where
is the problem. Could you please help me about it? Thanks!
Best,
Siwei
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