Factual package intelligence from PyPI

insurance-causal 0.6.3 package intelligence

Causal inference for insurance pricing: double machine learning, price elasticity, heterogeneous treatment effects, and post-hoc rate change evaluation for UK personal lines.

pip install insurance-causal

Current version
0.6.3
Python requirement
>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
497.5 KiB
Release history
18 releases with files
Median release cadence
1 days

insurance-causal dependencies

PyPI declares 29 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. catboost >=1.2
  2. doubleml >=0.10.0
  3. joblib >=1.3
  4. numpy >=2.0
  5. pandas >=2.0
  6. polars >=1.0
  7. pyarrow >=14.0
  8. scikit-learn >=1.6
  9. scipy >=1.12
  10. statsmodels >=0.14.5

The compact report shows 12 of 29 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

insurance-causal publishes 1 wheel and 1 source archive for version 0.6.3. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Release activity and sources

PyPI lists 18 releases with files. The first dated release is ; 18 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .