The TLOBTrainer in this file was:
- Never referenced by any caller in crates/ /services/ /bin/
(grep confirms zero hits beyond the string literal "TLOB" in
ml-ensemble's adaptive weight maps, which does not depend on the
trainer type).
- save_checkpoint and serialize_model logged "saving" but wrote
zero bytes, then immediately called std::fs::metadata.len() and
std::fs::read() on the missing file → ENOENT every time. Ghost
feature masquerading as a trainer (flagged during the pre-L40S
bulk-TODO sweep, commit 155c079fa).
- Depended on an ONNX-Runtime path in crates/ml-supervised/src/tlob/
transformer.rs (Environment / Session / Value), incompatible with
Foxhunt's native cudarc + cuBLAS GPU path used everywhere else.
TLOB feature-extractors in crates/ml-supervised/src/tlob/{features,
mbp10_feature_extractor,analytics,performance}.rs ARE retained —
they produce a 51-dim order-book feature representation that is
potentially worth integrating into the DQN data pipeline as a richer
alternative to our current 20-dim OFI. That integration is tracked
as a separate follow-up, NOT attempted here.
Also removes:
- `pub mod tlob;` in crates/ml/src/trainers/mod.rs:80
- `pub use tlob::{TLOBHyperparameters, TLOBTrainer, TLOBTrainingMetrics};`
re-export in trainers/mod.rs:109
Full workspace check: cargo check --workspace passes, no new warnings.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
ac959f807f