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labimputer is a Python package developed as part of a Final Year Project investigating data imputation methods suitable for laboratory data.
Please follow the Installation Guide.
We welcome contributions including bug reports, bug fixes, documentation improvements,
enhances and ideas from new contributors of all experience levels. The goals are to be
helpful, welcoming, and effective. The Development Guide has detailed
information about contributing code, documentation, tests, and more. We've included some
basic information in this README
and CHANGELOG
file.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/FeatureName
) - Commit your Changes (
git commit -m 'Add some FeatureName'
) - Push to the Branch (
git push origin feature/FeatureName
) - Open a Pull Request
You can launch the test suite from the main directory running pytest
.
- Official source code repo: https://github.com//
- Download releases: https://github.com///releases
- Issue tracker: https://github.com///issues
Distributed under the GNU v3.0 License. See LICENSE
for more information.
Link to release history and/or CHANGELOG
This project outlined an imputation framework suitable for imputing missing values in laboratory data.
This project was supervised by Dr Bernard Hernandez Perez and Dr Pantelis Georgiou.
Agrim Manchanda (agrimmanchanda) and Dr Bernard Hernandez Perez (bahp)
Contact contributors.
Feel free to contact contributors or raise PR.
See names of contributors.