Factual package intelligence from PyPI

invariant-causal-prediction 0.1.1 package intelligence

Invariant Causal Prediction (ICP) for Python: causal predictor discovery via invariance across environments with confidence intervals and R-parity tests.

pip install invariant-causal-prediction

Current version
0.1.1
Python requirement
>=3.9
License
GNU General Public License v2 or later (GPLv2+)
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
30.7 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

invariant-causal-prediction dependencies

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

  1. numpy >=1.23
  2. scipy >=1.9
  3. scikit-learn >=1.1
  4. pandas >=1.5
  5. statsmodels >=0.14
  6. matplotlib >=3.7

Compatibility and release files

invariant-causal-prediction publishes 1 wheel and 1 source archive for version 0.1.1. 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 .