Hi Dr. Peixoto,
I am using graph-tool version 2.45 and I have two questions.
1. I am trying to reproduce the script in the document
2. g = gt.collection.data["celegansneural"]
state = gt.minimize_nested_blockmodel_dl(g, state_args=dict(overlap=True))
and have the error:
/usr/lib/python3/dist-packages/graph_tool/inference/blockmodel.py:390: UserWarning: unrecognized keyword arguments: ['overlap']
warnings.warn("unrecognized keyword arguments: " +
It seems the argument of "overlap" is removed.
2. Regardless of the question1, I am trying to do a bipartite version stochastic block model and I define "clabel" to constraint labels on the vertices so that vertices with different label values will not be clustered in the same group. But I always have the error of "ValueError: cannot move vertex across clabel barriers". The below is the code:
node_types = g.vp['kind']
Output: PropertyArray([1, 1, 1, ..., 2, 2, 2], dtype=int32)
state = gt.minimize_nested_blockmodel_dl(
multilevel_mcmc_args = dict(niter=niter,beta=beta))
Could you please help me with these questions? Thanks!