ctree2sas: Export a decision tree to SAS

In az0/mlmeta: Machine Learning Metaprogramming

Description

Generate SAS DATA step code to predict the values of a conditional inference tree from the party package.

Usage

ctree2sas(mytree, name = "prediction", node_id = 1,
  parent_criteria = character(0))

Arguments

mytree	a decision tree model trained by ctree
name	the name of the variable in which to store the prediction
node_id	the initial node (used internally)
parent_criteria	used internally

Details

For regression, the prediction is the average for the node. For binary classification, the probability is given. For multinomial classification, the most likely level is returned.

Models may be built with inputs variables that are either numeric or unordered factors, while ordered factors and missing values are not supported.

Examples

require(party)
iris.ct <- ctree(Species ~ . , data = iris)
iris.sas <- ctree2sas(iris.ct)
cat(iris.sas, file="iris.sas")

az0/mlmeta documentation built on May 11, 2019, 4:15 p.m.