ParallelForest: Random Forest Classification with Parallel Computing

R package implementing random forest classification using parallel computing, built with Fortran and OpenMP in the backend.

Install the latest version of this package by entering the following in R:
install.packages("ParallelForest")
AuthorBertram Ieong [aut, cre, cph]
Date of publication2014-07-15 08:54:17
MaintainerBertram Ieong <contactme@bertramieong.com>
LicenseAGPL-3
Version1.1.0
https://github.com/bert9bert/ParallelForest

View on CRAN

Functions

Files

inst
inst/doc
inst/doc/ParallelForest-intro.rmd
inst/doc/ParallelForest-intro.html
inst/doc/ParallelForest-intro.R
src
src/sort_utils.f90
src/Makevars
src/fortran_unit_tests_wrapper.f90
src/tree_utils.f90
src/forest_parallel.f90
src/grow_forest_wrapper.f90
src/grow_tree_wrapper.f90
src/impurity_measures.f90
src/random_utils.f90
src/utils.f90
src/predict_forest_wrapper.f90
src/classification.f90
src/predict_tree_wrapper.f90
src/qsort_inline.f90
NAMESPACE
data
data/low_high_earners.rda
data/low_high_earners_test.rda
data/easy_2var_data.rda
R
R/grow.forest.r R/predict.tree.r R/1_s4classes.r R/grow.tree.r R/predict.forest.r R/2_prep.depvar.r
vignettes
vignettes/ParallelForest-intro.rmd
MD5
build
build/vignette.rds
DESCRIPTION
man
man/predict.forest.rd
man/grow.forest.rd
man/easy_2var_data.rd
man/forest-class.rd
man/low_high_earners_test.rd
man/low_high_earners.rd
man/accessors.forest.rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.