jgrusewski 2086405352 fix(hyperopt): auto-bump trials to n_initial+1 instead of crashing ...

When trials=0 (or any value <= n_initial), both RL and supervised
hyperopt binaries now auto-bump to n_initial+1 instead of bailing.
Previously the RL binary bumped to 5 which equalled n_initial=5,
triggering "trials must be greater than n_initial" error. The
supervised binary lacked the bump entirely and just crashed.

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

2026-03-12 21:55:56 +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

fix(ml): remove dead parquet path, enable GPU features by default

2026-03-10 16:54:45 +01:00

evaluate_baseline.rs

fix(eval): use hyperopt max_position_absolute in walk-forward evaluator

2026-03-12 18:11:17 +01:00

evaluate_supervised.rs

fix(ml): remove dead parquet path, enable GPU features by default

2026-03-10 16:54:45 +01:00

hyperopt_baseline_rl.rs

fix(hyperopt): auto-bump trials to n_initial+1 instead of crashing

2026-03-12 21:55:56 +01:00

hyperopt_baseline_supervised.rs

fix(hyperopt): auto-bump trials to n_initial+1 instead of crashing

2026-03-12 21:55:56 +01:00

train_baseline_rl.rs

fix(ml): suppress unsafe-code warning on startup env::set_var calls

2026-03-12 08:46:17 +01:00

train_baseline_supervised.rs

feat(dqn): enable Branching DQN with 45 factored actions (5×3×3)

2026-03-11 22:00:13 +01:00