Oracle

Oracle/deepfundingoracle.py

@@ -512,7 +512,9 @@ def train_predict_weight(df):
     # Split data into train/test sets
     X_train, X_test, y_train_log, y_test_log = train_test_split(X, y_log, test_size=0.2, random_state=42)
 
-    pipeline = Pipeline(["rf", RandomForestRegressor(random_state=42)])
+    pipeline = Pipeline([
+        ("rf", RandomForestRegressor(random_state=42))
+    ])
     # Hyperparameter tuning using GridSearchCV
     param_dist = {
         "rf__n_estimators": [100, 300, 500, 800, 1000],