Custom Transformers
Provides scikit-learn compatible custom transformers such as RandomAdder that can be integrated into pipelines.
Pipeline Integration
Supports combining custom components with standard scikit-learn tools like StandardScaler and LogisticRegression within a single pipeline.
Multiple Installation Options
Available for installation via pip, conda-forge, and editable development mode for contributors.
Code Quality and Testing
Adheres to scikit-learn code quality and testing standards, with verified releases signed by commit signatures.