Factual package intelligence from PyPI

uncertainty-estimation-models 0.1.0 package intelligence

This is the main library for the uncertainty estimation project.

pip install uncertainty-estimation-models

Current version
0.1.0
Python requirement
>=3.8,<4.0
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
32.5 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

uncertainty-estimation-models dependencies

PyPI declares 15 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. gluonts ==0.11.8
  2. lightgbm ==3.3.2
  3. MAPIE ==0.5.0
  4. ngboost ==0.3.13 when python_full_version >= "3.7.1" and python_version < "3.11"
  5. numba ==0.56.4
  6. numpy ==1.21.2 when python_version >= "3.8" and python_version < "3.11"
  7. pandas ==1.3.5
  8. pgbm ==1.8.0
  9. properscoring ==0.1
  10. pytorch-forecasting ==0.10.3 when python_version >= "3.8" and python_version < "3.11"
  11. pytorch_lightning ==1.8.4
  12. scikit-learn ==1.0.2
  13. scipy ==1.8.0 when python_version >= "3.8" and python_version < "3.11"
  14. torch ==1.13.1
  15. xgboost ==1.6.2

Compatibility and release files

uncertainty-estimation-models publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.

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

Metadata completeness

PyPI does not currently declare: license, project URL. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 1 release 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 project does not publish external project URLs in its PyPI metadata.