Algorithm Reference

Here you can find a detailed explanation of the core processes involved in the mcf. Key methods such as training, inference, local centering, and the use of \(CBGATEs\) and \(BGATEs\) of the Modified Causal Forest module are covered. Additionally, the Policy Tree algorithm used in the Optimal Policy module is presented.

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