AI engineering glossary · ML fundamentals
What is pipeline?
Pipeline (also called ML pipeline): A chained sequence of steps, such as cleaning, scaling, feature creation and the model, packaged so that they run in order as one unit. It makes experiments repeatable and prevents leakage, since preprocessing is fitted only on the training part of each split.
Pipeline: an example
Pipeline([('scale', StandardScaler()), ('clf', LogisticRegression())]) scales and classifies in one fit call.
Related terms
More ML fundamentals terms
- Probabilistic model
- Problem framing
- Random search
- Random seed
- Regression
- Regularisation
- Representation learning
- Reproducibility
Where you learn it
Pipeline is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.