Data and feature engineering · MLD-0264
Data lineage
The history of how data flowed through collection and transformation steps.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Trace a feature back to raw event logs.
Original caveat
Lineage does not by itself validate source quality.
Context and aliases
Level: Intermediate. Stages: Data · Training · Evaluation · Deployment · Monitoring.
Tags: ML · DL · SLM · LLM · MLOps.
Aliases: None recorded.
Related concepts
Concepts linking here
Original references
- scikit-learn: cross-validation ↗ · Reference link
- Transformers glossary ↗ · Consulted
- scikit-learn: missing-value imputation ↗ · Reference link
- Google Cloud MLOps architecture ↗ · Reference link
- scikit-learn: preprocessing ↗ · Reference link
- scikit-learn: feature selection ↗ · Reference link
- scikit-learn User Guide ↗ · Consulted
- Original reference URL ↗