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Mar 20, 2026
Resolve merge conflicts: - README.md: keep refactor branch version (single-package structure) - docs/model-selection-design.md: accept deletion (replaced by mkdocs) - src/agentopt/model_selection/hyperband.py: accept deletion (PR #26) Clean up remaining hyperband references in README and docs that were introduced by the refactor branch after PR #26 landed on main. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Hyperband (successive halving) is typically designed for training curves, where partial evaluations provide biased but informative signals about final performance. In our setting, however, partial evaluations are better viewed as unbiased but noisy estimates, so a confidence-aware approach like successive elimination may be more appropriate.
Therefore I decide to remove it.