Metadata-Version: 2.2
Name: medaid
Version: 0.1.5
Summary: Automated Machine Learning for medical use
Home-page: https://github.com/DeptuchMateusz/medAId
Author: Zofia Kamińska, Karolina Dunal, Mateusz Deptuch
License: MIT
Keywords: automated machine learning,automl,machine learning,medical data
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas>=1.5.0
Requires-Dist: numpy>=1.21.0
Requires-Dist: scikit-learn>=1.2.0
Requires-Dist: matplotlib>=3.5.0
Requires-Dist: fancyimpute>=0.6.0
Requires-Dist: reportlab>=3.6.0
Requires-Dist: fpdf>=1.7.0
Requires-Dist: shap>=0.39.0
Requires-Dist: seaborn~=0.13.2
Requires-Dist: dtreeviz~=2.2.2
Requires-Dist: xgboost~=2.1.3
Requires-Dist: lightgbm~=4.5.0
Requires-Dist: tqdm~=4.67.1
Requires-Dist: setuptools~=75.1.0
Requires-Dist: ipython>=8.0.0
Requires-Dist: ipywidgets>=8.0.0
Requires-Dist: supertree
Requires-Dist: lime>=0.2.0
Dynamic: author
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: keywords
Dynamic: license
Dynamic: requires-dist
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# MedAId :stethoscope:

This is a Python package designed for working with tabular data. While it is optimized for medical data use cases, it can be adapted to work with any kind of tabular dataset.

## Installation

Since this package is not available on PyPI (for now), you can install it directly from the source. Clone the repository and install the package using the following commands:

```bash
git clone https://github.com/DeptuchMateusz/autoML.git
cd medaid
pip install .
```
## More Info
For more detailed information about the package navigate to `notebook.ipynb` (polish version) or `notebook_eng.ipynb` (english version) file.
