About CausalML — causalml documentationAbout CausalML CausalML is a Python package that provides a suite of uplift modeling and causal inference methods using machine learning algorithms based on recent research. It provides a standard interface that allows user to estimate the Conditional Average Treatment Effect (CATE), also known as Individual Treatment Effect (ITE), from experimental or observational data. Essentially, it estimate
