changeDecisionsDummies: Takes decisions and modifies them so that only one level of a...

In aruaud/endoR: Interpret and Visualize Stable Tree Ensemble Models

Takes decisions and modifies them so that only one level of a multiclass variable is used in decisions

Description

Takes decisions and modifies them so that only one level of a multiclass variable is used in decisions

Usage

changeDecisionsDummies(
  rules,
  dummy_var,
  data,
  target,
  classPos = NULL,
  in_parallel = FALSE,
  n_cores = detectCores() - 1,
  cluster = NULL
)

Arguments

rules	a data frame with a column "condition".
dummy_var	string vector with the names of columns to change to dummy variable.
data	data on which to fit the decision ensemble.
target	response variable.
classPos	for classification, the positive class.
in_parallel	if TRUE, the function is run in parallel.
n_cores	if in_parallel = TRUE, and no cluster has been passed: number of cores to use, default is detectCores() - 1.
cluster	the cluster to use to run the function in parallel (opt).

aruaud/endoR documentation built on Jan. 25, 2025, 2:20 a.m.