refactor(qav3): enhance log messages formatting

Signed-off-by: Jérôme Benoit <jerome.benoit@piment-noir.org>

diff --git a/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py b/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py
index 89e944851768de5d3b67f0b9d7acfab5020beaf5..839e1404d75a45f179834ba2b504cd9e26c7c898 100644 (file)
--- 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(