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This release is a pre-release and may not be stable for production use.

Self-Learning Entropic Population Annealing

Description

This is a Python package that is designed for interpretable materials design in combinatorial search spaces based on entropic population annealing.

Required Packages

  • Python >= 3.6
  • numpy
  • scipy
  • physbo
  • modlamp

Install

  • From PyPI (recommended)
pip3 install slepa
  • To update modlamp to the latest version, run the following:
pip install --upgrade slepa
  • From source (for developers)
    1. Update pip (>= 19.0)

      pip3 install -U pip
      
    2. Download or clone the github repository

      git clone https://github.com/tsudalab/SLEPA
      
    3. Install via pip

      pip3 install ./SLEPA
      

Uninstall

pip3 uninstall slepa

Usage

'examples/simple.py' is a simple example.

License

SLEPA package is distributed under GNU General Public License version 3 (GPL v3) or later.

Copyright

© 2021- The University of Tokyo. All rights reserved.

Metadata

Release files for slepa 1.0.0a3

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slepa-1.0.0a3-py3-none-any.whl Python 3 none any Details

Total release size: 34.3 kB

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Security for slepa 1.0.0a3

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