Factual package intelligence from PyPI

pycfrl 0.3.2 package intelligence

The PyCFRL package implements algorithms to ensure counterfactual fairness in reinforcement learning and provides tools for evaluating the value and counterfactual fairness of reinforcement learning policies.

pip install pycfrl

Current version
0.3.2
Python requirement
>=3.10
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
2.6 MiB
Release history
6 releases with files
Median release cadence
1 days

pycfrl dependencies

PyPI declares 6 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. gymnasium >=0.26.0
  2. numpy >=1.23.0
  3. pandas >=1.5.0
  4. scikit-learn ~=1.7.0
  5. torch ~=2.4.1
  6. tqdm ~=4.66.2

Compatibility and release files

pycfrl publishes 1 wheel and 1 source archive for version 0.3.2. 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 .