insolver 0.4.5

Mindset insurance scoring

Insolver

Insolver is low-code machine learning library, initially created for the insurance industry, but can be used in any other. A more detailed overview you can find here.

Installation:

pip install insolver

Install with addons:

pip install insolver[db-connects]

Post-install:

To fix displaying plotly figs in jyputerlab install:

jupyter labextension install jupyterlab-plotly

In case of problem with pyodbc you may need to install:

sudo apt install unixodbc-dev

Examples:

• Private motor French insurer dataset
• US traffic accident dataset

Documentation:

Available here

Supported libraries:

Libs:

• sklearn
• H2O

Boosting models:

• XGBoost
• LightGBM
• CatBoost

Model interpretation:

• shap plots

Serving (REST-API):

• flask
• fastapi

Run tests:

python -m pytest

tests with coverage:

python -m pytest --cov=insolver; coverage html; xdg-open htmlcov/index.html

Contributing to Insolver:

Please, feel free to open an issue or/and suggest PR, if you find any bugs or any enhancements.