jgrusewski aa19b42255 refactor(ml): move UnifiedTrainable to ml-core + delete 6K dead deployment code ...

- Move UnifiedTrainable trait, TrainingMetrics, CheckpointMetadata, and
  checkpoint helpers from ml to ml-core (zero new dependencies — ml-core
  already had candle-core + serde_json)
- Wrap Mamba2SSM in Mamba2TrainableAdapter to satisfy orphan rule (trait
  in ml-core, type in ml-supervised — all other 9 models already used
  wrapper pattern)
- Make Mamba2SSM::validate() pub for cross-crate adapter access
- Delete 5 permanently disabled deployment modules (cfg(any()) — never
  compiled): registry, hot_swap, validation, monitoring, endpoints
  (-5,842 lines)
- Delete 2 undeclared dead files in training/: dqn_trainer.rs,
  transformer_trainer.rs (-138 lines)
- Fix pre-existing compute_loss test shape mismatch in mamba adapter

UnifiedTrainable in ml-core unblocks future trainers/ extraction (17.8K
lines) since model-specific trainers can now depend on ml-core for the
trait without pulling in the full ml monolith.

14 files changed, +128 -6,497 (net -6,369 lines)
Tests: 274 ml-core + 948 ml = 1,222 passed, 0 failed

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

2026-03-08 15:17:22 +01:00

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