extract_rules: Extract (causal) decision rules

In CRE: Interpretable Discovery and Inference of Heterogeneous Treatment Effects

Extract (causal) decision rules

Description

Extracts causal rules from the random forest or the gradient boosting algorithms.

Usage

extract_rules(treelist, X, max_depth, digits = 2)

Arguments

treelist	A list of decision trees.
X	Features matrix.
max_depth	A number of top levels from each tree considered.
digits	A Number of digits for rounding decision rules to extract conditions.

Value

A vector of (causal) decision rules.

CRE documentation built on Oct. 19, 2024, 5:07 p.m.