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preprocessing.py

@@ -3,7 +3,10 @@ from sklearn.base import BaseEstimator, TransformerMixin
 
 
 class IQRCapper(BaseEstimator, TransformerMixin):
-    """Winsorise each feature at the IQR fence learned from the fitted (training) data only."""
+    """Winsorise each feature at the IQR fence learned from the fitted (training) data only.
+    Defined in a standalone module so the saved pipeline can be reloaded outside the
+    notebook (e.g. in the Streamlit app), avoiding 'Can't get attribute IQRCapper'.
+    """
     def __init__(self, factor=1.5):
         self.factor = factor