mlpack has supported header-only compilation since the 4.0.0 release. It also contains an R package that has been part of CRAN for years. Its focus is on access from R at the R prompt: underlying mlpack functions are properly wrapped.
Sometimes, however, we would like to access the C++ API of mlpack from the C++ side of an R package. This package provides a working demonstration of how to do this.
Currently, the package contains two examples covering - linear regression (with optional regularization) - random forest classification of a multinomial response - loan default prediction using a decision tree
For now the package is available only at GitHub so please rely on
remotes::install_github():
> remotes::install_github("eddelbuettel/rcppmlpack-examples")We use the rcpp prefix to not conflate this repo with
the existing mlpack
examples repo.
Dirk Eddelbuettel for this R package
The mlpack authors for all of mlpack
GPL (>= 2) for this package
MIT for mlpack