Hi Tiago,

Tiago Peixoto wrote
> I cannot reproduce this.
> 
> As you should have learned by now, we can only make any progress
> understanding problems like this if you provide at least some _minimial_
> information, such as the version of graph-tool that is being used, as
> well as a complete example that shows the problem (in this case, we need
> the actual network used.)

Of course, the network is attached ( graph_1950_clean.zip
<http://main-discussion-list-for-the-graph-tool-project.982480.n3.nabble.com/file/n4027139/graph_1950_clean.zip>
 
) and here is the script that I ran ( model_class_selection_test.py
<http://main-discussion-list-for-the-graph-tool-project.982480.n3.nabble.com/file/n4027139/model_class_selection_test.py>
 
)


Tiago Peixoto wrote
> Did you read the documentation?
> 
> If you want to use the layered model, you have to supply the edge
> covariates, i.e.
> 
>     state = gt.minimize_blockmodel_dl(g, deg_corr=deg_corr,
>                                       overlap=overlap,
>                                       layers=True,
>                                       state_args=dict(ec=eprop))

You are right, this is in the cookbook, I could have spotted that myself. I
was looking only at the documentation. Thanks for the explanation though.

Best,

Philipp



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