Factual package intelligence from PyPI

example-wise-f1-maximizer 0.1.5 package intelligence

A scikit-learn meta-estimator for multi-label classification that aims to maximize the example-wise F1 measure

pip install example-wise-f1-maximizer

Current version
0.1.5
Python requirement
>=3.7
License
MIT
Distribution type
Pure Python wheel
Release files
1 (1 wheels, 0 source)
Download size
7.7 KiB
Release history
6 releases with files
Median release cadence
0 days

example-wise-f1-maximizer dependencies

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

  1. numpy <1.25,>=1.24
  2. scipy <1.11,>=1.10
  3. scikit-learn <1.3,>=1.2

Compatibility and release files

example-wise-f1-maximizer publishes 1 wheel and 0 source archives for version 0.1.5. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 6 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .