Hyperbox-brain

This is the sixth release of hyperbox-brain library

**Features**
========
In this release, the library has been updated and revised the implementation for several new learning features

1. A new learning ability of GFMM models from the mixed labelled and unlabelled data
2. Handling directly missing feature values in training sets
3. Data editing approaches using GFMM models
4. Add predict_proba and predict_with_memership functions for hyperbox-based models
5. Add new tutorials for new features.

This is the fifth release of hyperbox-brain

**Features**
========

1. Fix bug that cannot read Readme file in some environments
2. Add information of authors to license
3. Fix bug missing library in setup

This is the fourth release of hyperbox-brain

**Features**
========
1. Fix a bug regarding the inconsistency of license in the setup file.

This is the third release of hypebox-brain.

**Features**
========
1. Add license to each source file.
2. Correct license in the description.

This is the second release of the Hyperbox-Brain Toolbox in April 2022.

**Features**
========
1. Update the new way of showing the parallel coordinates graph for explanation.
2. Reducing the file size of the parallel coordinates graphs
3. Showing the parallel coordinates on the documentation in readthedocs

This is the first release of the Hyperbox-Brain Toolbox in April 2022.

**Features**
========

- Provide the implementation for 18 main hyperbox-based machine learning algorithms.
- Provide the detailed documentation for all classes and functions in the toolbox.
- Provide the detailed step by step for installation.

**Contributors**
===========
The main contributors to the implementation in this version is:

1. Dr. Thanh Tung Khuat
2. Prof. Bogdan Gabrys