Open keenhon opened 2 years ago
Hello -- a few months ago, I needed to adjust some config values on a checkpoint. I made the following change in 'checkpoint.py'. It allows to substitute an updated config when restoring a checkpoint.
NOTE: I'm unsure if this causes adverse conditions for the algorithm. It's handy to be able to make changes mid-evolution, so I'd be grateful if anyone could provide insights, and improvements if required.
def restore_checkpoint(filename, update_config=None):
"""Resumes the simulation from a previous saved point"""
with gzip.open(filename) as f:
generation, config, population, species_set, rndstate = pickle.load(f)
random.setstate(rndstate)
if update_config==None:
return Population(config, (population, species_set, generation))
else:
return Population(update_config, (population, species_set, generation))
Hi,
I would like to know if there is a way to change the fitness_threshold for a saved checkpoint?
Thanks