featuresmanuscript
The term featuresmanuscript refers to a documentation artifact used in data science and machine learning projects to describe, explain, and archive the features used by a predictive model. It serves as a stable reference that complements code, notebooks, and model artifacts, aiding reproducibility and collaboration.
A featuresmanuscript typically includes structured metadata for each feature. Common elements are the feature name, type
The benefits of maintaining a featuresmanuscript include improved reproducibility and auditability, easier model governance, and clearer
Creation and maintenance can be manual or automated. Templates or forms help standardize entries, while feature
Challenges include keeping the manuscript up to date as data pipelines change, managing drift, ensuring consistency