Factual package intelligence from PyPI

mechanism-learn 2.3.2 package intelligence

Mechanism-learn is a simple method to deconfound observational data such that any appropriate machine learning model is forced to learn predictive relationships between effects and their causes, despite the potential presence of multiple unknown and unmeasured confounding. The li

pip install mechanism-learn

Current version
2.3.2
Python requirement
>=3.9
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
49.9 KiB
Release history
12 releases with files
Median release cadence
1 days

mechanism-learn dependencies

PyPI declares 5 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. causalBootstrapping >=0.2.5
  2. grapl-causal
  3. scipy
  4. graphviz
  5. tqdm

Compatibility and release files

mechanism-learn publishes 1 wheel and 1 source archive for version 2.3.2. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: license. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 12 releases with files. The first dated release is ; 10 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .