From 23ec75313e347143c286d1dc545db43319dfb0d3 Mon Sep 17 00:00:00 2001 From: =?utf8?q?J=C3=A9r=C3=B4me=20Benoit?= Date: Thu, 12 Jun 2025 21:42:17 +0200 Subject: [PATCH] perf(qav3): enlarge pivots labeling optimization search space 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 39ca8b9..a0b68e0 100644 --- a/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py +++ b/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py @@ -1531,7 +1531,7 @@ def label_objective( candles_step: int, ) -> tuple[float, int]: min_label_period_candles: int = round_to_nearest_int( - max(fit_live_predictions_candles // 16, candles_step), candles_step + max(fit_live_predictions_candles // 18, candles_step), candles_step ) max_label_period_candles: int = round_to_nearest_int( max(fit_live_predictions_candles // 3, min_label_period_candles), @@ -1543,7 +1543,7 @@ def label_objective( max_label_period_candles, step=candles_step, ) - label_natr_ratio = trial.suggest_float("label_natr_ratio", 3.0, 16.0, step=0.01) + label_natr_ratio = trial.suggest_float("label_natr_ratio", 3.0, 18.0, step=0.01) df = df.iloc[ -( -- 2.43.0