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[ff-2352] Add optimality gap to bandit logging#50
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giorgiomartini0
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Jun 6, 2024
| 0.0, | ||
| 0.0, | ||
| gamma, | ||
| flag_key, subject_key, subject_attributes, None, None, 0.0, 0.0, gamma, 0.0 |
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👍 the formatting change tripped me up at first; I thought some parameters had been re-ordered. No, this just adds 0.0 as the optimality gap (last parameter)
| return weights | ||
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| def select_action(self, flag_key, subject_key, action_weights) -> Tuple[int, str]: | ||
| def select_action(self, flag_key, subject_key, action_weights) -> str: |
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Was this function incorrect before the change, or did you prefer having the selected_idx logic outside?
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Yes the index corresponded to the sorted list, rather than the original list, so returning it was useless and caused the bug.
aarsilv
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Jun 6, 2024
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Looks good! I assume we'll want an analogous change in the Java SDK as well
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labels: mergeable
Fixes: #ff-2352
Motivation and Context
The optimality gap helps us understand how much the algorithm is trading of exploration and exploitation
Description
How has this been tested?