Hi Pavel, I'm processing a bipartite network object converted from a 14000x9000 matrix. When I was running net.fit <- ergmm(net~euclidean(d=2)), it showed Error: cannot allocate vector of size 2.0Gb, then I increased the memory limit to 100,000, it showed Error: cannot allocate vector of size 3.9Gb after 3 hours. I increased the memory limit again to 1,000,000, it showed Error: cannot allocate vector of size 2.0Gb again after 4 hours.
What's the maximum network size that latentnet can process? Is there any way to get rid of the above error and make the calculation faster?
Hi Pavel, I'm processing a bipartite network object converted from a 14000x9000 matrix. When I was running
net.fit <- ergmm(net~euclidean(d=2)), it showedError: cannot allocate vector of size 2.0Gb, then I increased the memory limit to 100,000, it showedError: cannot allocate vector of size 3.9Gbafter 3 hours. I increased the memory limit again to 1,000,000, it showedError: cannot allocate vector of size 2.0Gbagain after 4 hours.What's the maximum network size that latentnet can process? Is there any way to get rid of the above error and make the calculation faster?
Thanks!