R中的并行随机森林利用CARET包

Question

I am utilizing one of the regression technique parallel random forest named as method="parRF" in R under the caret package; it seems to work faster than regular random forest. May I kindly request the difference in the implementation detail that speed up the process.

Any link to document explaining parallel random forest algorithm and implementation would be of great help.

Answer 1

It is a parallel implementation using your machine's multiple cores and an MPI package.
Check out the page on parallel implementations at http://caret.r-forge.r-project.org/parallel.html and of course the package's CRAN page. I hope these are enough detail for you.