NexQuant

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TPTBusiness 7a0f81f275 fix(optuna): fix inverted parameter range in Stage 2/3 when signal_bias is negative

`_sample_fine_params` and `_sample_very_fine_params` used `max(0.0, center - half_width)`
for all float parameters. When signal_bias=-0.95 (a valid Stage-1 result), this
produced low=0.0, high=-0.75 — an inverted range that causes Optuna to raise
ValueError on every trial, silently caught and returned as -inf.

Fix:
- Extract `_suggest_bounded()` helper with per-parameter floor values
- signal_bias floor is -1.0 (not 0.0 — it is a signed parameter)
- Guard against high <= low for both float and int suggestions
- Elevate trial failure logs from debug to warning so future regressions are visible

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

2026-04-18 08:05:49 +02:00

agent

feat: add a rag mcp in proposal (#1267 )

2025-10-20 16:46:25 +08:00

backtesting

feat: unified backtest engine, LLM error handling, strategy refactor

2026-04-17 22:52:07 +02:00

benchmark

feat(rl): add AutoRL-Bench framework and benchmark integrations (#1348 )

2026-03-17 15:49:30 +08:00

coder

fix(optuna): fix inverted parameter range in Stage 2/3 when signal_bias is negative