Metadata-Version: 2.4
Name: selin
Version: 0.0.0
Home-page: https://github.com/PythonSI/PSI
Author: Tran Tuan Kiet, Nguyen Thang Loi, Duong Tan Loc, Vo Nguyen Le Duy, PSI Contributors
Author-email: contact.trtkiet@gmail.com; duyvnl@uit.edu.vn
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: mpmath==1.3.0
Requires-Dist: numpy==2.2.6
Requires-Dist: POT==0.9.5
Requires-Dist: scikit-learn==1.7.1
Requires-Dist: scipy==1.15.3
Dynamic: author
Dynamic: author-email
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license-file
Dynamic: requires-dist
Dynamic: requires-python

# EasySI: Easy Selective Inference

[![PyPI version](https://badge.fury.io/py/EasySI.svg)](https://badge.fury.io/py/EasySI)
[![License](https://anaconda.org/conda-forge/pot/badges/license.svg)](https://github.com/EasySI/EasySI/blob/master/LICENSE)

This open source Python library provides APIs for selective inference for problems in machine learning such as feature selection, anomaly detection and domain adaptation.

Website and documentation: [https://EasySI.github.io/](https://EasySI.github.io/)

Source code (MIT): [https://github.com/EasySI/EasySI](https://github.com/EasySI/EasySI)

## Implemented Features

EasySI have provide selective inference support for methods:

* Feature Selection:
    * Lasso Feature Selection
    * Sequential Feature Selection
* Domain Adaptation:
    * Optimal Transport-based Domain Adaptation

## Installation

The library has only been tested on Windows with Python 3.10. It requires some of the following modules:
- numpy (=2.2.6)
- mpmath (=1.3.0)
- POT (==0.9.5)
- scikit-learn (==1.7.1)
- scipy (==1.15.3)

Note: Other versions of Python and dependencies shall be tested in the future.

### Pip Installation

You can install the toolbox through PyPI with:

```console
pip install EasySI
```

### Post installation check
After a correct installation, you should be able to import the module without errors:

```python
import si
```

Note that for easier access the module is named `si` instead of `EasySI`.

## Examples and Notebooks

The examples folder contain several examples and use case for the library. The full documentation with examples and output is available on [https://PythonSI.github.io/](https://PythonSI.github.io/).
