From a1782f57f86aa79af8f4b9e11e54929f92da907e Mon Sep 17 00:00:00 2001 From: =?utf8?q?J=C3=A9r=C3=B4me=20Benoit?= Date: Sun, 31 Aug 2025 14:07:22 +0200 Subject: [PATCH] refactor(qav3): enhance log messages formatting MIME-Version: 1.0 Content-Type: text/plain; charset=utf8 Content-Transfer-Encoding: 8bit Signed-off-by: Jérôme Benoit --- quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py b/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py index 89e9448..839e140 100644 --- a/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py +++ b/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py @@ -361,7 +361,7 @@ class QuickAdapterRegressorV3(BaseRegressionModel): test_weights = test_weights[-test_period_candles:] elif optuna_train_value >= optuna_hp_value: logger.warning( - f"{dk.pair}: Optuna train RMSE {format_number(optuna_train_value)} is not better than HPO RMSE {format_number(optuna_hp_value)}, skipping training sets sizing optimization" + f"Optuna {dk.pair} train RMSE {format_number(optuna_train_value)} is not better than HPO RMSE {format_number(optuna_hp_value)}, skipping training sets sizing optimization" ) eval_set, eval_weights = QuickAdapterRegressorV3.eval_set_and_weights( -- 2.43.0