Factual package intelligence from PyPI

afisp 0.2.1 package intelligence

Identify patient characteristics and data acquisition parameters associated with high error rates in predictive AI/ML models.

pip install afisp

Current version
0.2.1
Python requirement
>=3.10
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
31.3 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

afisp dependencies

PyPI declares 13 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy
  2. pandas
  3. scikit-learn
  4. statsmodels
  5. tqdm
  6. matplotlib
  7. interpret
  8. imodels
  9. sirus

Compatibility and release files

afisp publishes 1 wheel and 1 source archive for version 0.2.1. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Security snapshot for afisp 0.2.1

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Metadata completeness

PyPI does not currently declare: license. 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 .