Factual package intelligence from PyPI

smartcal 0.1.16 package intelligence

SmartCal is a modular Python package for auto calibrating machine learning models. It includes multiple calibration algorithms, meta-learning-based method selection, and evaluation metrics. Developed by a team from Giza Systems.

pip install smartcal

Current version
0.1.16
Python requirement
<=3.12,>=3.8
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
3.3 MiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

smartcal dependencies

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

  1. numpy <3.0,>=1.23
  2. scipy <2.0,>=1.10
  3. pandas <3.0,>=1.5
  4. scikit-learn <2.0,>=1.3
  5. torch <3.0,>=2.0
  6. xgboost <3.0,>=1.7
  7. uncertainty-calibration <1.0,>=0.1.3
  8. python-decouple
  9. betacal
  10. bayesian-optimization

Compatibility and release files

smartcal publishes 1 wheel and 1 source archive for version 0.1.16. Wheel platform tags: any.

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

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 .