Factual package intelligence from PyPI

pearsonify 0.1.0 package intelligence

A lightweight package for computing confidence intervals for classification tasks using conformal prediction and Pearson residuals.

pip install pearsonify

Current version
0.1.0
Python requirement
>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
10.5 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

pearsonify dependencies

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

  1. matplotlib <4.0.0,>=3.7.0
  2. numpy <2.0.0,>=1.24.0
  3. scikit-learn <2.0.0,>=1.2.0

Compatibility and release files

pearsonify publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 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 .