Factual package intelligence from PyPI

pumml 0.0.2 package intelligence

Positive and Unlabeled Materials Machine Learning (pumml) is a code that uses semi-supervised positive and unlabeled (PU) machine learning to classify materials when data is incomplete and only examples of 'positive' materials are available.

pip install pumml

Current version
0.0.2
Python requirement
>=3.6
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
28.3 KiB
Release history
2 releases with files
Median release cadence
490 days

pumml dependencies

PyPI declares 9 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. matplotlib >=3.1.1
  2. monty >=2.0.4
  3. numpy ==1.19.4
  4. pandas ==1.1.4
  5. scikit-learn ==0.23.2
  6. scipy >=1.3.0
  7. seaborn >=0.9.0
  8. matminer ==0.6.3
  9. pymatgen ==2020.11.11

Compatibility and release files

pumml publishes 1 wheel and 1 source archive for version 0.0.2. Wheel platform tags: any.

Declared Python classifiers: 3.6.

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .