semvec/pypi-packages huggingface dataset:
ErCore 1.5
Core for projects

# Core for projects
[![PyPi Downloads](https://img.shields.io/pypi/dm/ErCore?style=for-the-badge)](https://pypistats.org/packages/ercore)
### author: Eragod
### version: 1.5
## [Github](https://github.com/Eragod/ErCore)
## [PyPI](https://pypi.org/project/ErCore/)
BindingGP 0.0.36
This 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
Requires Python: >=3.6
Keywords: symbolic regression

<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