e = modeller.environ(rand_seed=4000)
e.edat.dynamic_sphere = False
e.libs.topology.read('${LIB}/top_heav.lib')
e.libs.parameters.read('${LIB}/par.lib')
modmodel = modeller.model(e)
modmodel.build_sequence(sequence)
I want it to produce a different initial model each time. Because I'm using gradient descent and I don't want gradient descent to start with the same model each time. What should I do to randomize the initial model?
Thank you 







