Assessing the robustness of models is an essential step in developing machine-learning systems. To determine if a model is sound, it often helps to know which and how many input features its output hinges on. This talk introduces the fundamentals of “anchor” explanations that aim to provide that information.
talk-data.com
K
Speaker
KIlian Kluge
1
talks
Filtering by:
PyConDE & PyData Berlin 2023
×
Filter by Event / Source
Talks & appearances
Showing 1 of 1 activities