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())
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Metadata
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Release files for soraya 0.0.9
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| soraya-0.0.9.tar.gz | 8.2 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| soraya-0.0.9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 15.8 kB
Release files / soraya-0.0.9.tar.gz
| Download URL | soraya-0.0.9.tar.gz |
|---|---|
| Size | 8.2 kB |
| Tags | Source |
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twine/5.1.0 CPython/3.8.10
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Release files / soraya-0.0.9-py3-none-any.whl
| Download URL | soraya-0.0.9-py3-none-any.whl |
|---|---|
| Size | 7.6 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/5.1.0 CPython/3.8.10
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Security for soraya 0.0.9
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