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jgrusewski 0fa7aa41c0 test: add 6 ML integration tests (DQN, PPO, TFT, Mamba2, ensemble, smoke)

- DQN: adapter creation, deterministic inference, varied inputs
- PPO: adapter creation, deterministic inference, short input padding
- TFT: sequence buffering, valid prediction after warmup
- Mamba2: sequence buffering, valid prediction, deterministic SSM
- Ensemble: all 4 models -> EnsembleCoordinator -> trading decision
- Smoke: full pipeline with 10 sequential predictions, stability check

This establishes the production baseline proving the ML pipeline works
end-to-end with all 4 models contributing to ensemble decisions.

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

2026-02-22 20:13:09 +01:00

dqn_integration.rs

test: add 6 ML integration tests (DQN, PPO, TFT, Mamba2, ensemble, smoke)

2026-02-22 20:13:09 +01:00

ensemble_integration.rs

test: add 6 ML integration tests (DQN, PPO, TFT, Mamba2, ensemble, smoke)

2026-02-22 20:13:09 +01:00

mamba2_integration.rs

test: add 6 ML integration tests (DQN, PPO, TFT, Mamba2, ensemble, smoke)

2026-02-22 20:13:09 +01:00

ml_pipeline_smoke.rs

test: add 6 ML integration tests (DQN, PPO, TFT, Mamba2, ensemble, smoke)