v1.2.1

Fixed some minor bugs in

• Treatment Dummy Approach
• Savin models as pickle files

v1.1.0

Added the IDDP Algorithm published in Rößler, Guse, and Schoder: The Best of Two Worlds: Combining Recent Advances From Uplift Modeling and Heterogeneous Treatment Effects Literature (2022) forthcoming in International Conference on Information Systems (ICIS).

v.1.0.0

Published AutoUM: A Python Framework for Automatically Evaluating various Uplift Modeling Algorithms to Estimate Individual Treatment Effects