distillTreeRules: Distill rules from trained RF and GBM learners

In egenn/rtemis: Machine Learning and Visualization

Distill rules from trained RF and GBM learners

Description

Extract rules from RF or GBM model, prune, and remove unnecessary rules using inTrees

Usage

distillTreeRules(
  mod,
  x,
  y = NULL,
  n.trees = NULL,
  maxdepth = 100,
  maxDecay = 0.05,
  typeDecay = 2,
  verbose = TRUE
)

Arguments

mod	A trained RF or GBM model
x	The training set features
y	The training set outcomes. If NULL, assumed to be last column of x
n.trees	Integer: Number of trees to extract
maxdepth	Integer: Max depth to consider
maxDecay	Float: See inTree=es::pruneRule
typeDecay	Integer: See inTreees::pruneRule
verbose	Logical: If TRUE, print messages to output

Details

Models must be trained with s_RF or s_GBM

Author(s)

E.D. Gennatas

egenn/rtemis documentation built on May 4, 2024, 7:40 p.m.