nnet2sas: Export an neural network to SAS

In az0/mlmeta: Machine Learning Metaprogramming

Description

Generates SAS DATA step code to predict the values of an artificial neural network.

Usage

nnet2sas(fit)

Arguments

fit	a neural network fitted by nnet or train with method="nnet"

Examples

require(nnet)
# binary classification
iris2 <- iris[iris$Species %in% c('setosa', 'versicolor'),]
iris2$Species <- factor(iris2$Species)
iris2.nnet <- nnet(Species ~ ., data = iris2, size = 1, trace = FALSE)
iris2.sas <- nnet2sas(iris2.nnet)
cat(iris2.sas, file='iris.sas')

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