BindingGP


NameBindingGP JSON
Version 0.0.36 PyPI version JSON
download
home_pagehttps://github.com/boliqq07/bgp
SummaryThis is for symbolic regression.Some of code are non-originality, just copy for use. All the referenced code are marked,details can be shown in their sources
upload_time2023-05-05 12:50:43
maintainerwangchangxin
docs_urlNone
authorwangchangxin
requires_python>=3.6
license
keywords symbolic regression
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls. 
            <div align="center">
  <img alt="BGP" src="https://github.com/MGEdata/bgp/blob/master/img.jpg?raw=true">
</div>

[![Python Versions](https://img.shields.io/pypi/pyversions/bindinggp.svg)](https://pypi.org/project/bindinggp/)
[![Version](https://img.shields.io/github/tag/MGEdata/bgp.svg)](https://github.com/MGEdata/bgp/releases/latest)
![pypi Versions](https://badge.fury.io/py/BindingGP.svg)


BGP
----------------------
Welcome to BGP.

BGP (Binding Genetic Programming) is an open python library that implements a comprehensive set of symbolic regression
tools for materials informatics.

This tool contains a symbol regression tool with dimension calculation, which is aimed at establish expressions with
physical limitation.

BGP inspired by:

[XenonPy](https://github.com/yoshida-lab/XenonPy),
[matminer](https://hackingmaterials.github.io/matminer/ ),
[deap](https://github.com/DEAP/deap),
[sympy](https://www.sympy.org/en/index.html)

Quick Install
----------------------

```bash
pip install BindingGP
```

Document
----------------------
The usage of this package and **install** deatils are collected in BGP document.

Turn to [BGP document](https://bgp.readthedocs.io/en/latest/) for more details.

License
----------------------
GNU LGPL-3.0 License

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wangchangxin
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