Inconsistent scaling in prod? Build a scikit-learn Pipeline
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Inconsistent scaling in prod? Build a scikit-learn Pipeline
Build an end-to-end scikit-learn Pipeline so preprocessing is identical at train and predict time. Avoid train–production drift: lock in scalers/encoders for reproducible transforms, safe handling of unseen categories, and simpler debugging. We implement ColumnTransformer + StandardScaler + OneHotEncoder inside a Pipeline with ...
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