From bd6c90f73272411ab1d8df8b878a32bf86e74287 Mon Sep 17 00:00:00 2001 From: =?utf8?q?J=C3=A9r=C3=B4me=20Benoit?= Date: Wed, 9 Apr 2025 19:29:55 +0200 Subject: [PATCH] perf(qav3): fine tune natr ratio optuna dimension 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 e1c9d77..3533903 100644 --- a/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py +++ b/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py @@ -44,7 +44,7 @@ class QuickAdapterRegressorV3(BaseRegressionModel): https://github.com/sponsors/robcaulk """ - version = "3.7.2" + version = "3.7.3" @cached_property def _optuna_config(self) -> dict: @@ -944,7 +944,7 @@ def label_objective( max_label_period_candles, step=candles_step, ) - label_natr_ratio = trial.suggest_float("label_natr_ratio", 0.05, 0.1) + label_natr_ratio = trial.suggest_float("label_natr_ratio", 0.0625, 0.175) _, peak_values, _ = dynamic_zigzag( df, -- 2.43.0