Metadata-Version: 2.1
Name: boruta-surv
Version: 0.1.0
Summary: Feature Selection for Survival Analysis using Boruta
Home-page: https://github.com/alterreal/boruta-surv
Author: Alexandre Calado
Author-email: alexandreluiscalado@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scipy
Requires-Dist: scikit-learn
Requires-Dist: scikit-survival
Requires-Dist: seaborn
Requires-Dist: matplotlib

# Feature Selection for Survival Analysis with Boruta

This is a simple Python library for performing **feature selection** using **Boruta** in the context of **survival analysis** (time-to-event analysis).

## 📌 Features
- Applies the **Boruta algorithm** for feature selection in survival models.
- Designed for datasets with time-to-event outcomes.
- Easy to use and integrate into machine learning workflows.

## 📂 Usage
An example of how to use this library is provided in [`example.ipynb`](example.ipynb).
