refactor(qav3): code formatting

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

diff --git a/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV3.py b/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV3.py
index cedca8d076305aa83cd33c73dc8182a4589928af..535052235e30034f33b0c3c2089acf7d0e0580c1 100644 (file)
--- a/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV3.py
+++ b/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV3.py
@@ -637,7 +637,14 @@ def period_objective(
 
 
 def hp_objective(
-    trial, X, y, train_weights, X_test, y_test, test_weights, model_training_parameters
+    trial,
+    X,
+    y,
+    train_weights,
+    X_test,
+    y_test,
+    test_weights,
+    model_training_parameters,
 ) -> float:
     study_parameters = {
         "num_leaves": trial.suggest_int("num_leaves", 2, 256),

diff --git a/quickadapter/user_data/freqaimodels/XGBoostRegressorQuickAdapterV3.py b/quickadapter/user_data/freqaimodels/XGBoostRegressorQuickAdapterV3.py
index add4dfecb9d22eca7e2cf8e861292e31f422ded2..c96fcddcd6678399bbf24c5ed6bb36f3371f9574 100644 (file)
--- a/quickadapter/user_data/freqaimodels/XGBoostRegressorQuickAdapterV3.py
+++ b/quickadapter/user_data/freqaimodels/XGBoostRegressorQuickAdapterV3.py
@@ -645,7 +645,14 @@ def period_objective(
 
 
 def hp_objective(
-    trial, X, y, train_weights, X_test, y_test, test_weights, model_training_parameters
+    trial,
+    X,
+    y,
+    train_weights,
+    X_test,
+    y_test,
+    test_weights,
+    model_training_parameters,
 ) -> float:
     study_parameters = {
         "learning_rate": trial.suggest_float("learning_rate", 1e-3, 0.3, log=True),