refactor: cleanup model parameters usage

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

diff --git a/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV35.py b/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV35.py
index f6cf01e01d7524103ab362fd997475582b556541..2c9342569d38051b728c91dbdbe0141df8db87d8 100644 (file)
--- a/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV35.py
+++ b/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV35.py
@@ -100,7 +100,7 @@ class LightGBMRegressorQuickAdapterV35(BaseRegressionModel):
             sample_weight = sample_weight[-window:]
 
             model_training_parameters = {
-                **self.model_training_parameters,
+                **model_training_parameters,
                 **{
                     "n_estimators": hp.get("n_estimators"),
                     "learning_rate": hp.get("learning_rate"),