Comments (3)
You can create your own custom Task
, which could be an entirely different search space and/or reward function.
In your case, if you want to keep the search space (assuming mathematical expressions based on your snippet above) then it's probably easiest to subclass the RegressionTask
and overwrite reward_function
. Or just change reward_function
locally if you don't care about upstream changes.
from deep-symbolic-optimization.
#43 also relevant
from deep-symbolic-optimization.
from deep-symbolic-optimization.
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