| name | feature-engineering-kit |
| description | Auto-generate features with encodings, scaling, polynomial features, and interaction terms for ML pipelines. |
Feature Engineering Kit
Automated feature engineering with encodings, scaling, and transformations.
Features
- Encodings: One-hot, label, target encoding
- Scaling: Standard, min-max, robust scaling
- Polynomial Features: Generate interactions
- Binning: Discretize continuous features
- Date Features: Extract time-based features
- Text Features: TF-IDF, word counts
- Missing Value Handling: Imputation strategies
CLI Usage
python feature_engineering.py --data train.csv --output engineered.csv --config config.json
Dependencies
- scikit-learn>=1.3.0
- pandas>=2.0.0
- numpy>=1.24.0