https://github.com/JackyP/penalised-unexplainability-network-payments-per-claim-incurred

A granular machine learning risk pricing and loss reserving model.
https://github.com/JackyP/penalised-unexplainability-network-payments-per-claim-incurred

Last synced: 5 months ago
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A granular machine learning risk pricing and loss reserving model.

• Host: GitHub
• URL: https://github.com/JackyP/penalised-unexplainability-network-payments-per-claim-incurred
• Owner: JackyP
• License: gpl-3.0
• Created: 2019-04-11T11:07:10.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2019-07-08T13:17:17.000Z (almost 6 years ago)
• Last Synced: 2024-07-12T01:47:04.100Z (10 months ago)
• Language: Jupyter Notebook
• Size: 1.4 MB
• Stars: 3
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• jimsghstars - JackyP/penalised-unexplainability-network-payments-per-claim-incurred - A granular machine learning risk pricing and loss reserving model. (Jupyter Notebook)

README

        
# PUNPPCI: Penalising Unexplainability Network Payments per Claim Incurred

[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/python/black)

A package for processing insurance premiums and claims data, with scikit-learn compatible applications of the PUNPPCI risk pricing and reserving model, as well as implementations of chain ladder and PPCI.

**This package is a work in progress. Please check results carefully. PR's and feedback (via the issue tracker) welcome.**

## Installation:

```{sh}

pip install punppci

```

## Usage:

Refer to [Example.ipynb](https://github.com/JackyP/penalised-unexplainability-network-payments-per-claim-incurred/blob/master/Example.ipynb) for an example.