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Machine Learning package for Label Ranking problems in Python.

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# Scikit-lr

Scikit-lr is a Python package for Label Ranking problems and distributed under
MIT license.

The project was started in 2019 as the Ph.D. Thesis of Juan Carlos Alfaro
Jiménez, whose advisors are Juan Ángel Aledo Sánchez and José Antonio Gámez
Martín.

Website: https://scikit-lr.readthedocs.io

## Installation

### Dependencies

Scikit-lr requires:

* Python (>= 3.6)
    * NumPy (>= 1.17.3)
    * SciPy (>= 1.3.2)
    * Scikit-learn (>= 0.23.0)

### User installation

If you already have a working installation, the easiest way to install
scikit-lr is using ``pip``:

```
pip install -U scikit-lr
```

The documentation includes more detailed [installation instructions](https://scikit-lr.readthedocs.io/en/latest/getting_started/install.html).

## Release history

See the [release history](https://scikit-lr.readthedocs.io/en/latest/whats_new/index.html)
for a history of notable changes to scikit-lr.

## Development

Feel free to contribute to the package, but be sure that the standards
are followed.

### Important links

* Official source code repository: https://github.com/alfaro96/scikit-lr
* Download releases: https://pypi.org/project/scikit-lr
* Issue tracker: https://github.com/alfaro96/scikit-lr/issues

### Source code

You can check the latest sources with the command:

```
git clone https://github.com/alfaro96/scikit-lr.git
```

### Testing

After installation, you can launch the test suite from outside the source
directory (you will need to have ``pytest (>= 5.0.1)`` installed):

```
pytest sklr
```

## Project history

The project was started in 2019 as the Ph.D. Thesis of Juan Carlos Alfaro
Jiménez, whose advisors are Juan Ángel Aledo Sánchez and José Antonio Gámez
Martín.

## Help and support

### Documentation

* HTML documentation (stable release): https://scikit-lr.readthedocs.io/en/stable/index.html
* HTML documentation (development version): https://scikit-lr.readthedocs.io/en/latest/index.html
* FAQ: https://scikit-lr.readthedocs.io/en/stable/getting_started/faq.html

### Communication

* Issue tracker: https://github.com/alfaro96/scikit-lr/issues
* Website: https://scikit-lr.readthedocs.io

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