The teller is a model-agnostic tool for Machine Learning (ML) explainability. It uses Taylor series and finite differences to explain ML models predictions:

a little increase in model’s explanatory variables + a little decrease = approximate sensitivities of its predictions to changes in these explanatory variables

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The teller is now available on Pypi (yeaaah!), and can be installed from the command line as:

pip install the-teller

The code is also documented on readthedocs (it’s a work in progress):

https://the-teller.readthedocs.io/en/latest/?badge=latest

For those who haven’t had a taste of the teller yet, these notebooks will constitute a good (and fun) introduction:

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