Factual package intelligence from PyPI

autoprognosis 0.1.22 package intelligence

A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.

pip install autoprognosis

Current version
0.1.22
Python requirement
>=3.9
License
Apache-2.0 license
Distribution type
Includes compiled wheel
Release files
2 (2 wheels, 0 source)
Download size
549.8 KiB
Release history
22 releases with files
Median release cadence
3 days

autoprognosis dependencies

PyPI declares 88 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. importlib-metadata when python_version < "3.8"
  2. cloudpickle
  3. hyperimpute >=0.1.16
  4. joblib
  5. lifelines
  6. loguru
  7. matplotlib
  8. numpy >=1.20
  9. optuna >=3.1.0
  10. pandas
  11. pydantic
  12. pyod
  13. redis
  14. scikit-learn >=1.0
  15. scipy >=1.3.2
  16. seaborn
  17. shap >=0.40.0
  18. statsmodels

The compact report shows 18 of 88 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

autoprognosis publishes 2 wheels and 0 source archives for version 0.1.22. Wheel platform tags: any, macosx_10_14_x86_64.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 22 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 .