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Machine learning for full configuration interaction

(c) 2018 Dhabih V. Chulhai

A collection of Python scripts used to generate CASCI training data, and run a simple kernel ridge regression (KRR) machine learning (ML) algorithm to predict full CI properties.

Requirements

  • Python 2.7
  • Cython
  • PySCF 1.4 or higher
  • Numpy 1.8.0 or higher
  • Scipy 0.10 or higher
  • Pickle
  • progressbar

Instal

Run:

python setup.py build_ext --inplace

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Machine learning for full configuration interaction

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