soraya 0.0.9

Soraya is a package that selects the most important features using an innovative hybrid method for both regression and classification problems.

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

The following libraries and packages are utilized by soraya: scikit-learn, shap, tqdm, numpy, xgboost and pandas.Therefore, it’s necessary to install all these packages. If you encounter an error, it is probably due to the conflict of different versions of the packages, so be sure to install the following versions using the commands below:

pip install scikit-learn==1.3.2 , pip install shap==0.44.1 , pip install tqdm==4.66.4 , pip install numpy==1.24.4 , pip install xgboost==2.0.3 , pip install pandas==2.0.3

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())