From 2c678e53b0fa83e674c63b3840888a76e27e1dfc Mon Sep 17 00:00:00 2001 From: =?utf8?q?J=C3=A9r=C3=B4me=20Benoit?= Date: Wed, 21 May 2025 22:12:04 +0200 Subject: [PATCH] fix(qav3): avoid pivots labeling optimization failure MIME-Version: 1.0 Content-Type: text/plain; charset=utf8 Content-Transfer-Encoding: 8bit Signed-off-by: Jérôme Benoit --- .../user_data/freqaimodels/QuickAdapterRegressorV3.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py b/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py index 5d5c7a7..d14bfa4 100644 --- a/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py +++ b/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py @@ -1162,7 +1162,7 @@ def label_objective( max(fit_live_predictions_candles // 16, candles_step), candles_step ) max_label_period_candles: int = round_to_nearest_int( - max(fit_live_predictions_candles // 2, min_label_period_candles), + max(fit_live_predictions_candles // 4, min_label_period_candles), candles_step, ) label_period_candles = trial.suggest_int( @@ -1171,7 +1171,7 @@ def label_objective( max_label_period_candles, step=candles_step, ) - label_natr_ratio = trial.suggest_float("label_natr_ratio", 6.0, 30.0, step=0.25) + label_natr_ratio = trial.suggest_float("label_natr_ratio", 4.0, 16.0, step=0.01) df = df.iloc[ -( -- 2.43.0