Factual package intelligence from PyPI

cfl 1.3.3 package intelligence

Causal Feature Learning (CFL) is an unsupervised algorithm designed to construct macro-variables from low-level data, while maintaining the causal relationships between these macro-variables.

pip install cfl

Current version
1.3.3
Python requirement
<3.13,>=3.7
License
Free for non-commercial use
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
135.3 KiB
Release history
13 releases with files
Median release cadence
43 days

cfl dependencies

PyPI declares 8 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. tqdm
  2. matplotlib >=3.3.4
  3. tensorflow >=2.4.0
  4. numpy >=1.19.5
  5. scikit-learn >=1.0
  6. jupyter
  7. ipykernel
  8. joblib >=0.16.0

Compatibility and release files

cfl publishes 1 wheel and 1 source archive for version 1.3.3. Wheel platform tags: any.

Declared Python classifiers: 3.7, 3.8.

Release activity and sources

PyPI lists 13 releases 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 . The preceding dated release was .