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Positive and Unlabeled Materials Machine Learning (pumml) is a code that uses semi-supervised machine learning to classify materials from only positive and unlabeled examples.

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Bumps [numpy](https://github.com/numpy/numpy) from 1.19.4 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...

dependencies

Bumps [pymatgen](https://github.com/materialsproject/pymatgen) from 2020.11.11 to 2024.2.20. Release notes Sourced from pymatgen's releases. v2024.2.20 What's Changed This release addresses an important security issue that might affect some users of pymatgen who...

dependencies

Bumps [scikit-learn](https://github.com/scikit-learn/scikit-learn) from 0.23.2 to 1.0.1. Release notes Sourced from scikit-learn's releases. scikit-learn 1.0.1 We're happy to announce the 1.0.1 release with several bugfixes: You can see the changelog here:...

dependencies