CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox

Artelt A (2019)
Bielefeld University.

Datenpublikation
 
Download
OA 111.59 KB
Abstract / Bemerkung
**CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox**
ceml is a Python toolbox for computing counterfactuals. Counterfactuals can be used to explain the predictions of machine learning models. It supports many common machine learning frameworks: - scikit-learn - PyTorch - Keras - Tensorflow Furthermore, ceml is easy to use and can be extended very easily. See the documentation and user guide for more information on how to use and extend ceml.
Stichworte
python; machine learning; counterfactual explanations
Erscheinungsjahr
2019
Page URI
https://pub.uni-bielefeld.de/record/2936468

Zitieren

Artelt A. CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox . Bielefeld University; 2019.
Artelt, A. (2019). CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox . Bielefeld University. doi:10.4119/unibi/2936468
Artelt, A. (2019). CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox . Bielefeld University.
Artelt, A., 2019. CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox , Bielefeld University.
A. Artelt, CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox , Bielefeld University, 2019.
Artelt, A.: CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox . Bielefeld University (2019).
Artelt, André. CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox . Bielefeld University, 2019.
Alle Dateien verfügbar unter der/den folgenden Lizenz(en):
Volltext(e)
Name
111.59 KB
Access Level
OA Open Access
Zuletzt Hochgeladen
2019-09-25T06:54:10Z
MD5 Prüfsumme
c3785876f1792f0f71531c34a1b2ee8a

Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Suchen in

Google Scholar