jgrusewski 08d6b1a32d refactor: precompute_features runs pure CPU — no DQNTrainer needed ...

Extract standalone functions from DQNTrainer:
- extract_features_from_bars(): 42-dim feature extraction
- extract_ohlcv_bars_from_dbn(): DBN to OHLCVBar conversion
- collect_dbn_files_recursive(): file discovery

DQNTrainer delegates to these, ensuring consistency.
Precompute binary no longer initializes CUDA — runs on any
CPU node (ci-compile-cpu at EUR 0.85/hr vs GPU at EUR 12.60/hr).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

2026-04-01 00:52:36 +02:00

..

baseline_common

fix(ml): wire spread_cost_bps into RL training — commission + spread = total tx cost

2026-03-01 22:10:43 +01:00

cuda_test.rs

fix: wire real GPU backprop + SPSA gradients, fix checkpoint loading, eliminate candle from examples

2026-03-20 15:41:42 +01:00

download_baseline.rs

fix: add retry with backoff to Databento download_quarter

2026-03-31 22:57:43 +02:00

evaluate_baseline.rs

feat: DQN gems — spectral decoupling, manifold mixup, regime replay, family hyperopt

2026-03-31 00:39:23 +02:00

evaluate_supervised.rs

fix: wire real GPU backprop + SPSA gradients, fix checkpoint loading, eliminate candle from examples

2026-03-20 15:41:42 +01:00

hyperopt_baseline_rl.rs

feat: configurable --min-hold-bars for A/B testing (3 vs 5)

2026-03-31 11:12:13 +02:00

hyperopt_baseline_supervised.rs

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

precompute_features.rs

refactor: precompute_features runs pure CPU — no DQNTrainer needed

2026-04-01 00:52:36 +02:00

train_baseline_rl.rs

feat: configurable --min-hold-bars for A/B testing (3 vs 5)

2026-03-31 11:12:13 +02:00

train_baseline_supervised.rs

feat: TOML training profile system — config-driven hyperparameters

2026-03-21 23:35:41 +01:00