Soraya is a package that selects the most important features using an innovative hybrid method.
Project description
soraya
Soraya is a package for selecting the most important features that has been developed using an innovative hybrid method. Soraya identifies and selects the most relevant features for regression and classification tasks.
Installation
To use the soraya package, the Shap package must be installed with "pip install shap". In general, the following libraries and packages are utilized by soraya:sklearn, pandas, numpy, tqdm, xgboost and shap.
Note: If you encounter any difficulties installing these packages on your local system, you can utilize the Google colab environment to install and utilize them seamlessly.
How to use soraya
After installing soraya, simply execute the following two lines of code.
from soraya import Main
print(Main())
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
