semvec/pypi-packages huggingface dataset:
boruta-surv 0.1.0
Feature Selection for Survival Analysis using Boruta
Requires Python: >=3.7

# 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).