R nnet模型作为等式，可在其他编程语言中使用

Question

I've successfully created the model in RStudio using nnet.
But now I need to code it up in Java. I presume I could take the weights (wts) and build up the equations necessary for the activation functions, but I hope that someone has already written a function to do this.

How do people typically take their R model and implement them in C, Java, etc?

str(mynn) gives:

List of 18
$ n            : num [1:3] 1 2 1
    $ nunits       : int 5
$ nconn        : num [1:6] 0 0 0 2 4 7
    $ conn         : num [1:7] 0 1 0 1 0 2 3
$ nsunits      : num 4
    $ decay        : num 0.02
$ entropy      : logi FALSE
    $ softmax      : logi FALSE
$ censored     : logi FALSE
    $ value        : num 26466497
$ wts          : num [1:7] 6.422 -0.433 -11.771 2.086 -12001.039 ...
    $ convergence  : int 0

etc...

Perhaps this has been asked before, but hours of google searches has not revealed the answer.

Thank you for your help. I greatly appreciate it.

Answer 1

One approach is to use PMML . The CRAN package pmml supports exporting nnet models:

library(caret)
library(nnet)
library(pmml)

model <- train(
  Sepal.Length~., iris, 
  method='nnet', trace=FALSE, 
  trControl=trainControl(verboseIter=TRUE))
pmml(model$finalModel)