martineastwood/featuristic
Automated, interpretable feature engineering using symbolic regression and genetic programming.
This project helps data scientists and machine learning practitioners automatically create new, insightful features from their existing datasets. You provide your raw data, and it intelligently generates new, interpretable mathematical features that improve the accuracy of your predictive models. It's designed for anyone building machine learning models who wants to enhance model performance without manually crafting complex data transformations.
Available on PyPI.
Use this if you want to improve the predictive power of your machine learning models by automatically discovering new, high-impact features from your existing data.
Not ideal if you need a simple, single-line data transformation or if you prefer to hand-code all feature engineering steps yourself.
Stars
7
Forks
2
Language
Python
License
MIT
Category
Last pushed
Feb 21, 2026
Commits (30d)
0
Dependencies
7
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