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A package for definining the domain of a machine learning model via a feature dissimilarity metric.

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Materials Application Domain Machine Learning (MADML)

Research with respect to application domain with a materials science emphasis is contained within. The GitHub repo can be found in here.

Examples

  • Tutorial 1: Assess and fit a single model from all data: Open In Colab
  • Tutorial 2: Use model hosted on Docker Hub: Open In Colab

Structure

The structure of the code packages is as follows:

materials_application_domain_machine_learning/
├── examples
│   ├── jupyter
│   └── single_runs
├── src
│   └── madml
└── tests

Coding Style

Python scripts follow PEP 8 guidelines. A usefull tool to use to check a coding style is pycodestyle.

pycodestyle <script>

Authors

Graduate Students

  • Lane Schultz - Main Contributer - leschultz

Acknowledgments

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A package for definining the domain of a machine learning model via a feature dissimilarity metric.

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