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Currently, random values are drawn from the global np.random subpackage. The modern way to use these is to create a RandomGenerator object
Once this is done everywhere, it should be easy to store the random generator state (and any other intermediate values) so the optimizer could continue where it left off if there is a wish to run a previous experiment for longer.
The text was updated successfully, but these errors were encountered:
Currently, random values are drawn from the global
np.random
subpackage. The modern way to use these is to create a RandomGenerator objectOnce this is done everywhere, it should be easy to store the random generator state (and any other intermediate values) so the optimizer could continue where it left off if there is a wish to run a previous experiment for longer.
The text was updated successfully, but these errors were encountered: