Hi, These belong to the issue tracker. Could you please try again to login and post there? Best, Tiago Am 06.05.21 um 10:13 schrieb hazaa:
hi, I'm writing to report several issues with the multicanonical sampler, using gt version 2.37. ((haven't been able to login on gitlab tracker)
First with the NestedBlockState
g = gt.collection.data["celegansneural"] state = gt.NestedBlockState(g) nbins=100 S0 = state.entropy() Smin,Smax = S0*0.90,S0*1.1 ms= gt.MulticanonicalState(state,Smin,Smax, nbins=nbins) gt.multicanonical_equilibrate(ms)
Will return:
/usr/lib/python3/dist-packages/graph_tool/inference/mcmc.py in sweep(self, **kwargs) 426 427 def sweep(self, **kwargs): --> 428 self._state.multicanonical_sweep(self, **kwargs) 429 430 def get_energies(self): TypeError: multicanonical_sweep() takes 1 positional argument but 2 were given
Then with BlockState:
state = gt.BlockState(g) nbins=100 S0 = state.entropy() Smin,Smax = S0*0.90,S0*1.1 ms= gt.MulticanonicalState(state,Smin,Smax, nbins=nbins) gt.multicanonical_equilibrate(ms) #THIS IS OK ds,nattempts,nmoves = state.multicanonical_sweep(ms,niter=10 )
The last line fails with the following output:
/usr/lib/python3/dist-packages/graph_tool/inference/blockmodel.py in _multicanonical_sweep_dispatch(self, multicanonical_state) 1702 _get_rng()) 1703 else: -> 1704 return libinference.multicanonical_sweep(multicanonical_state, 1705 self._state, _get_rng()) 1706 TypeError: No registered converter was able to extract a C++ reference to type boost::any from this Python object of type NoneType
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-- Tiago de Paula Peixoto <tiago@skewed.de>