Metadata-Version: 2.3
Name: mimllearning
Version: 0.1.32
Summary: MIML Learning Library
Project-URL: Homepage, https://github.com/p82maavd/miml
Author-email: Damian Martinez <damianmartinezavila@gmail.com>
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.8
Description-Content-Type: text/markdown

# miml: Multi Instance Multi Label Learning Library for Python
The aim of the library is to ease the development, testing and comparison of classification algorithms for multi-instance multi-label learning (MIML). 

## Table of Contents

- [Installation](#installation)
- [License](#license)

### Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install miml.

```bash
$ pip install mimllearning
```
#### Requirements
The requirement packages for miml library are: numpy, scikit-learn, scipy, mil, tensorflow and keras.
Installing miml with the package manager does not install the package dependencies.
So install them with the package manager manually if not already downloaded.

    $ pip install numpy
    $ pip install scikit-learn
    $ pip install scipy
    $ pip install mil
    $ pip install tensorflow
    $ pip install keras==2.12.0

### License
[![License](http://img.shields.io/:license-mit-blue.svg?style=flat-square)](http://badges.mit-license.org)
- **[MIT license](http://opensource.org/licenses/mit-license.php)**