Density Aware SMOTE: A Python package for density-aware synthetic oversampling
Project description
Density Aware SMOTE
A Python package implementing Density Aware SMOTE, developed in the Improved-Oversampling-Density-Aware-Smote repository.
This method enhances SMOTE by generating synthetic samples based on local data density, reducing oversampling in sparse regions and preserving valuable patterns in dense areas.
Features
- Density-aware oversampling tuned for local distribution
- Flexible sampling strategy:
auto, ratio float, or custom class counts - Custom neighbor selection:
random,nearest,farthest - Seamless integration with scikit-learn pipelines
- Built-in visuals: class distribution, synthetic samples, decision boundaries
Installation
pip install density-aware-smote
Project details
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