Featurebox is a Python library that implements a comprehensive set of machine learning tools for materials informatics.

Currently In Test Phase

Featurebox inspired by

• XenonPy:https://github.com/yoshida-lab/XenonPy

• matminer: https://hackingmaterials.github.io/matminer/

Featurebox relied on

• deap:https://github.com/DEAP/deap

• pymatgen:https://github.com/materialsproject/pymatgen

Some helpful code can be copyed from these package and adapt to new environment. Infringement contents would be removed.

1. pymatgen recommend:

conda install --channel conda-forge pymatgen

Reference:https://github.com/materialsproject/pymatgen

2. deap recommend:

pip install deap

Reference:https://github.com/DEAP/deap

3. minepy recommend:

pip install minepy

Note:

If VC++ needed for windows, please download from https://www.lfd.uci.edu/~gohlke/pythonlibs/ and install locally.

Reference:https://minepy.readthedocs.io/en/latest/index.html

pip install featurebox

GNU