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Soraya is a package that generates 322 features for any material.

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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())

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Soraya is a package that generates 322 features for any material.

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