refactor: cleanup optuna HPO implementation

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 2c9342569d38051b728c91dbdbe0141df8db87d8..dec8de6c659aab550e989396932a3ad8de22f7c1 100644 (file)
--- a/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV35.py
+++ b/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV35.py
@@ -68,7 +68,6 @@ class LightGBMRegressorQuickAdapterV35(BaseRegressionModel):
 
         start = time.time()
         if optuna_hyperopt:
-            hp = {}
             pruner = optuna.pruners.MedianPruner(n_warmup_steps=5)
             study = optuna.create_study(pruner=pruner, direction="minimize")
             study.optimize(

diff --git a/quickadapter/user_data/freqaimodels/XGBoostRegressorQuickAdapterV35.py b/quickadapter/user_data/freqaimodels/XGBoostRegressorQuickAdapterV35.py
index 259acc76f171af7f74473b3999851e6092ecbf0f..f9cecc33b3a1f4ce9c8bec69bda48ed899cc6e27 100644 (file)
--- a/quickadapter/user_data/freqaimodels/XGBoostRegressorQuickAdapterV35.py
+++ b/quickadapter/user_data/freqaimodels/XGBoostRegressorQuickAdapterV35.py
@@ -68,7 +68,6 @@ class XGBoostRegressorQuickAdapterV35(BaseRegressionModel):
 
         start = time.time()
         if optuna_hyperopt:
-            hp = {}
             pruner = optuna.pruners.MedianPruner(n_warmup_steps=5)
             study = optuna.create_study(pruner=pruner, direction="minimize")
             study.optimize(