Factual package intelligence from PyPI

prediction-interval 0.1.9 package intelligence

Create Prediction Intervals such as Quantile Regression, Conformalized Quantile Regression, and bootstrapping using XGBoost

pip install prediction-interval

Current version
0.1.9
Python requirement
>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
36.5 KiB
Release history
10 releases with files
Median release cadence
0 days

prediction-interval dependencies

PyPI declares 69 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. arrow >=1.3.0
  2. asttokens >=3.0.0
  3. binaryornot >=0.4.4
  4. certifi >=2024.12.14
  5. chardet >=5.2.0
  6. charset-normalizer >=3.4.1
  7. click >=8.1.8
  8. colorama >=0.4.6
  9. comm >=0.2.2
  10. contourpy >=1.3.1
  11. cookiecutter >=2.6.0
  12. cycler >=0.12.1
  13. debugpy >=1.8.11
  14. decorator >=5.1.1
  15. executing >=2.1.0
  16. fonttools >=4.55.3
  17. idna >=3.10
  18. ipykernel >=6.29.5
  19. ipython >=8.30.0
  20. jedi >=0.19.2
  21. jinja2 >=3.1.5
  22. joblib >=1.4.2
  23. jupyter-client >=8.6.3
  24. jupyter-core >=5.7.2
  25. kiwisolver >=1.4.8

The compact report shows 25 of 69 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

prediction-interval publishes 1 wheel and 1 source archive for version 0.1.9. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.9.

Release activity and sources

PyPI lists 10 releases with files. The first dated release is ; 10 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .