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Insolver is low-code machine learning library, initially created for the insurance industry, but can be used in any other. You can find a detailed overview at https://insolver.readthedocs.io/en/latest/source/overview.html.

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Insolver

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

Installation:

pip install insolver

Post-install:

To fix the display of plotly figs in jyputerlab, install:

jupyter labextension install jupyterlab-plotly

Insolver is already installed in the easy access cloud via the GitHub login. Try https://mset.space with a familiar notebook-style environment.

Examples:

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.

Demo

Example of creating models using the Insolver

Example of a model production service

Example of an elyra pipeline built with the Insolver inside

Contacts

frank@mind-set.ru +79263790123

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