simplify_rules: Simplify rules to the minimal defining set

In bakaburg1/tidytrees: Convert Regression/Classification Trees Into Tidy Tibbles

Description

Tree algorithms returns nested, redundant rule sets. This function simplify the rules keeping the shortest condition set required to univocally identify the partition.

Usage

simplify_rules(rules)

Arguments

rules

A vector of rules or a list of rule components.

Value

A vector or a list, based on the input, with the smallest set of rules that identifies a partition.

Examples

tree <- ctree(Sepal.Length ~ Species + Sepal.Width, iris)
rules <- tidy_tree()
simplify_rules(rules$rule)

## Works also with a list of conditions

#' rules <- tidy_tree(rule_as_text = FALSE)
simplify_rules(rules$rule)

bakaburg1/tidytrees documentation built on Dec. 19, 2021, 6:40 a.m.