Optimization trace to return noiseless when add_custom_noise is used #4687
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…acebook#4687) Summary: Adjustment after discussion in D89407340. Changing optimization trace to return underlying noiseless value instead of noisy for custom noise functions. Reviewed By: Balandat Differential Revision: D89544093 Privacy Context Container: L1307644
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Summary: **Issue:** Explanatory notebook by me & mate: N8907563 In practice: N8887885 Previously, when using Experiment.clone_with() in Ax to clone a subset of trials, the cloned trials were assigned new auto-incremented indices (e.g., 0, 1, 2...) rather than preserving their original indices from the source experiment. This led to downstream issues in extraction methods (_extract_arm_data / _extract_observation_data) which rely on trial indices being consistent between the experiment and its associated data. As a result, extracted arm and observation data would be incomplete. **Fix:** Modified both Trial.clone_to() and BatchTrial.clone_to() so that when cloning to a different experiment, the original trial index is preserved (index=self.index). When cloning to the same experiment, a new index is auto-assigned to avoid index collision (maintaining previous behavior for this use case). Differential Revision: D89661997 Privacy Context Container: L1307644
…acebook#4687) Summary: Adjustment after discussion in D89407340. Changing optimization trace to return underlying noiseless value instead of noisy for custom noise functions. Reviewed By: Balandat Differential Revision: D89544093 Privacy Context Container: L1307644
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Summary:
Adjustment after discussion in D89407340.
Changing optimization trace to return underlying noiseless value instead of noisy for custom noise functions.
Differential Revision:
D89544093
Privacy Context Container: L1307644