Factual package intelligence from PyPI

fisher-scoring 2.0.6 package intelligence

A Python implementation of the Fisher Scoring algorithm for proportion and incidence rate modeling.

pip install fisher-scoring

Current version
2.0.6
Python requirement
>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
69.2 KiB
Release history
13 releases with files
Median release cadence
35 days

fisher-scoring dependencies

PyPI declares 3 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy <2.0.0,>=1.19.5
  2. pandas <3.0.0,>=2.2.2
  3. scikit-learn <2.0.0,>=1.3.0

Compatibility and release files

fisher-scoring publishes 1 wheel and 1 source archive for version 2.0.6. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.9.

Release activity and sources

PyPI lists 13 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .