Factual package intelligence from PyPI

insurance-frequency-severity 0.2.9 package intelligence

Joint frequency-severity modelling for insurance pricing: Sarmanov copula, compound distributions, and neural two-part models for UK personal lines claims.

pip install insurance-frequency-severity

Current version
0.2.9
Python requirement
>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
343.8 KiB
Release history
8 releases with files
Median release cadence
2 days

insurance-frequency-severity dependencies

PyPI declares 9 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. matplotlib >=3.6
  2. numpy >=2.0
  3. pandas >=2.0
  4. scikit-learn >=1.3.0
  5. scipy >=1.10
  6. statsmodels >=0.14.5

Compatibility and release files

insurance-frequency-severity publishes 1 wheel and 1 source archive for version 0.2.9. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Release activity and sources

PyPI lists 8 releases with files. The first dated release is ; 8 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .