Multi-Table Feature Engineering on Synthetic Databases: How to Test Your ML Pipeline Before It Sees…
Towards AI
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Machine Learning
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Multi-Table Feature Engineering on Synthetic Databases: How to Test Your ML Pipeline Before It Sees Real Data Feature engineering bugs hide in joins. Here is how to build synthetic relational databases that expose them before production does. I have seen production ML failures caused by bugs in feature engineering code than by bugs in model code. The model always gets the attention. When a prediction goes wrong, the first instinct is to retune hyperparameters, add regularization, or collect