The artifact bundling strategy here is solid. Separating model weights, scaler params, and threshold into a complete deployment package avoids the classic train-serve skew problem. I've dealt with systems where the preprocessing pipeline drifted from what the model was trained on, and tracking down those bugs ate weeks of prodcution time.
The artifact bundling strategy here is solid. Separating model weights, scaler params, and threshold into a complete deployment package avoids the classic train-serve skew problem. I've dealt with systems where the preprocessing pipeline drifted from what the model was trained on, and tracking down those bugs ate weeks of prodcution time.