From ca8e99e200101cfb3622bf71220e551bc9b81438 Mon Sep 17 00:00:00 2001
From: =?utf8?q?J=C3=A9r=C3=B4me=20Benoit?= <jerome.benoit@piment-noir.org>
Date: Sun, 26 Jan 2025 14:24:10 +0100
Subject: [PATCH] refactor: cleanup model parameters usage
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Signed-off-by: Jérôme Benoit <jerome.benoit@piment-noir.org>
---
 .../user_data/freqaimodels/LightGBMRegressorQuickAdapterV35.py  | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV35.py b/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV35.py
index f6cf01e..2c93425 100644
--- 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"),
-- 
2.43.0