jgrusewski 6c3e518499 feat(ml): wire Prometheus eval metrics into evaluate_supervised ...

Emit set_eval_metrics (directional_accuracy, sharpe, profit_factor, return)
per fold for supervised model evaluation. Start metrics server on :9094.

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

2026-03-01 23:03:13 +01:00

..

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

chore: clean up examples, update ML binaries and risk tests

2026-02-27 01:33:18 +01:00

download_baseline.rs

chore: clean up examples, update ML binaries and risk tests

2026-02-27 01:33:18 +01:00

evaluate_baseline.rs

feat(ml): wire Prometheus eval metrics into evaluate_baseline

2026-03-01 23:03:13 +01:00

evaluate_supervised.rs

feat(ml): wire Prometheus eval metrics into evaluate_supervised

2026-03-01 23:03:13 +01:00

hyperopt_baseline_rl.rs

feat(ml): add OTLP tracing to all 6 training/eval binaries

2026-03-01 23:03:13 +01:00

hyperopt_baseline_supervised.rs

feat(ml): add OTLP tracing to all 6 training/eval binaries

2026-03-01 23:03:13 +01:00

train_baseline_rl.rs

feat(ml): add OTLP tracing to all 6 training/eval binaries

2026-03-01 23:03:13 +01:00

train_baseline_supervised.rs

feat(ml): add OTLP tracing to all 6 training/eval binaries

2026-03-01 23:03:13 +01:00