Factual package intelligence from PyPI

unique-uncertainty 0.2.2 package intelligence

UNIQUE is a Python package for benchmarking uncertainty estimation and quantification methods for Machine Learning models predictions.

pip install unique-uncertainty

Current version
0.2.2
Python requirement
<=3.12.1,>=3.8
License
BSD License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
4.2 MiB
Release history
2 releases with files
Median release cadence
9 days

unique-uncertainty dependencies

PyPI declares 35 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. colorcet <=3.0.1,>=3.0
  2. ipykernel <=6.29.2,>=6.29
  3. jinja2 <=3.1.3,>=3.1
  4. matplotlib <=3.8.2,>=3.6
  5. numpy <=1.26.4,>=1.19
  6. pandas <=2.2.0,>=2.0
  7. pyarrow <=16.1.0
  8. pyyaml <=6.0.1,>=6.0
  9. rdkit ==2023.09.1
  10. ruamel.yaml >=0.17
  11. scikit-learn <=1.4.0,>=1.3
  12. scipy <=1.12.0,>=1.10

The compact report shows 12 of 35 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

unique-uncertainty publishes 1 wheel and 1 source archive for version 0.2.2. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.8, 3.9.

Release activity and sources

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