Hi all,
In general which graph format is fastest when writing/reading graphs? I
am also getting errors when I load pickled and cpickled graphs...That is
something like:
TypeError: No registered converter was able to produce a C++ rvalue of
type std::string from this Python object of type
On 04/29/2013 05:51 PM, Tiago de Paula Peixoto wrote:
On 04/29/2013 04:18 PM, Anatol Wegner wrote:
The script:
mt=load_graph('m.xml')
import pickle
f=open('graph','w')
pickle.dump(mt,f)
f.close()
g=open('graph','r')
m=pickle.load(g)
Traceback (most recent call last):
File pyshell#11, line
Hi,
I have a question regarding the implementing partial constraints during
blockmodel minimization. By partial constraints I mean that I have a
group of vertices V1 that are pre-labeled into k clusters i.e. vertices
from V1 that are in different clusters should not mix. Then there is a
Hi,
I am getting the following error when using get_edges_prob() with
layered SBMs. Minimal example:
import graph_tool.all as gt
import numpy as np
gr=gt.generate_sbm(b=np.array([0]*500+[1]*500),probs=np.array([[1,200],[200,1]]))
etype=gr.new_edge_property('int')
gr.ep.etype=etype
for
