Python: Real-World Data Science

Chapter 2 – Classifying with scikit-learn Estimators

More complex pipelines

http://scikit-learn.org/stable/modules/pipeline.html#featureunion-composite-feature-spaces

The Pipelines we have used in the module follow a single stream—the output of one step is the input of another step.

Pipelines follow the transformer and estimator interfaces as well—this allows us to embed Pipelines within Pipelines. This is a useful construct for very complex models, but becomes very powerful when combined with Feature Unions, as shown in the preceding link.

This allows us to extract multiple types of features at a time and then combine them to form a single dataset. For more details, see the example at http://scikit-learn.org/stable/auto_examples/feature_stacker.html ...