mlmeta

Machine Learning Metaprogramming for R

These functions export several kinds of machine learning models trained in R to other programming languages, so the models can score data in a separate environment without R. Currently Base SAS is supported, and additional SAS licenses for SAS/IML, SAS/STAT, and SAS Enterprise Miner are not required. In some cases the models in SAS run faster and use less memory than in R.

Supported models:

Bagged MARS from caret
Conditional inference trees from party
Random forests from party
Multivariate Adaptive Regression Splines (MARS) from earth
Generalized Boosted Regression Models from gbm
Artificial neural networks from nnet

Later I will post this package on CRAN. Until then, use:

require(devtools)
install_github("az0/mlmeta")

For an example usage, please see:

Train neural network in R, predict in SAS
Model decision tree in R, score in Base SAS

If you find these useful, please consider a donation to Compassion International. Even a penny will help.