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