Comments (3)
Hi,
This is a lifetime issue. You are creating the evaluator and optimizer instances inside the loop, so their lifetime is limited to the body of the loop. These objects will already be 'dead' at the time when the GP algorithm needs to use them.
One possible workaround is to extend their lifetime by putting them in a list:
instances_holder = []
for i in range(2): # works fine if changed to range(1)
evaluator_i = Operon.Evaluator(problem, dtable, error_metric, True) # initialize evaluator, use linear scaling = True
evaluator_i.Budget = 1000 * 10000 # computational budget
optimizer = Operon.LMOptimizer(dtable, problem, max_iter=3)
evaluator_i.Optimizer = optimizer
evaluator.Add(evaluator_i)
instances_holder.append((evaluator_i, optimizer))
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if you're still having trouble (and assuming you're testing multiview SR), have a look at:
https://github.com/erusseil/MvSR-analysis/blob/main/mvsr.py#L115
erusseil/MvSR-analysis#5 (comment)
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Hi,
Thanks for the quick responses - the instances_holder solution worked! Previously I was just saving the evaluators to a list (following the mvsr.py script), but also saving the optimizers seems to have fixed the issue. Thank you so much!
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