Metadata-Version: 2.0
Name: xenonpy
Version: 0.1.0b13
Summary: material descriptor library
Home-page: https://github.com/yoshida-lab/xenonpy
Author: TsumiNa
Author-email: liu.chang.1865@gmail.com
Maintainer: TsumiNa
Maintainer-email: liu.chang.1865@gmail.com
License: BSD (3-clause)
Download-URL: https://github.com/yoshida-lab/xenonpy/archive/v0.1.0b13.tar.gz
Platform: Windows
Platform: MacOS
Platform: Unix
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: MacOS
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Requires-Python: ~=3.5
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: pymatgen
Requires-Dist: tqdm
Requires-Dist: seaborn
Requires-Dist: scikit-learn
Requires-Dist: scipy
Requires-Dist: plotly
Requires-Dist: requests
Requires-Dist: ruamel.yaml

.. Copyright 2017 TsumiNa. All rights reserved.


What is XenonPy project
========================
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**XenonPy** is a Python library focus on the material informatics which be designed for material explore based on machine learning.

The main purpose of this project is to build a complex system to calculate various chem/phys descriptors for machine learning then extend them to explore material space.
To reach this target, system also provide model training routines and try to re-use pre-trained model by various deep learning methods such as **transfer learning**.

This project has just started and a long way to run. The final goal of this project is to build a **All-In-One** virtual environment for material development come with:

* **Massive dataset and Pre-trained models out-of-box**
* **Various descriptor calculation methods**
* **Model training and re-use**
* **Combined with deep learning methods seamless**
* **Visualization tools for analysis and publish ready**

XenonPy inspired by matminer: https://hackingmaterials.github.io/matminer/.

XenonPy is a open source project https://github.com/yoshida-lab/XenonPy.

See our documents for details: http://xenonpy.readthedocs.io 


Contribution guidelines
=======================

* Discussion with others
* Docstring use `Numpy style`_.
* Check codes with Pylint
* Writing tests if possible


Changes
=======

.. include: docs/source/CHANGES.rst

Contract
========

* With issues_
* With Gitter_



Copyright and license
=====================

Code and documentation ﾂｩ 2017 TsumiNa.
Released under the BSD-3 license.

.. _issues: https://github.com/yoshida-lab/XenonPy/issues
.. _Gitter: https://gitter.im/yoshida-lab/XenonPy
.. _Numpy style: https://github.com/numpy/numpy/blob/master/doc/HOWTO_DOCUMENT.rst.txt

