Algorithm Reference

The algorithm reference offers a detailed explanation of the core processes of the mcf. It covers the key methods such as training, inference, local centering, and the use of \(CBGATEs\) and \(BGATEs\) of the Modified Causal Forest module. Additionally, it explores the Policy Tree algorithm used in the Optimal Policy module.

Modified Causal Forest

• 1. Training a Modified Causal Forest
• 2. Inference
• 3. Local centering
• 4. CBGATEs and BGATEs

Optimal Policy

• 1. Optimal Policy Allocation
• 2. Fairness Extensions in Optimal Policy