Welcome to CEML’s documentation!

Counterfactuals for Explaining Machine Learning models - CEML

CEML is a Python toolbox for computing counterfactuals. Counterfactuals can be used to explain the predictions of machine learing models.

It supports many common machine learning frameworks:

  • scikit-learn (0.23.2)

  • PyTorch (1.6.0)

  • Keras & Tensorflow (2.2.1)

Furthermore, CEML is easy to use and can be extended very easily. See the following user guide for more information on how to use and extend ceml.

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