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

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):