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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
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.