Packaging Preprocessing & Postprocessing Logic with Models: MLOps and Production AI Guide (2026) | Edugators

Packaging Preprocessing & Postprocessing Logic with Models in MLOps and Production AI

Intermediate Topic 4 of 9

Beyond the Model File

Serialized models alone are insufficient. Feature transformations and output formatting must also be included.

Common Packaging Mistakes

Inconsistent feature scaling
Missing categorical encoding logic
Untracked normalization steps

Complete packaging ensures prediction consistency between training and production.

Using ONNX for Cross-Platform Model Portability Model Compression & Optimization for Deployment

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