fastAdaboost: a Fast Implementation of Adaboost
Version 1.0.0

Implements Adaboost based on C++ backend code. This is blazingly fast and especially useful for large, in memory data sets. The package uses decision trees as weak classifiers. Once the classifiers have been trained, they can be used to predict new data. Currently, we support only binary classification tasks. The package implements the Adaboost.M1 algorithm and the real Adaboost(SAMME.R) algorithm.

Browse man pages Browse package API and functions Browse package files

AuthorSourav Chatterjee [aut, cre]
Date of publication2016-02-28 09:59:32
MaintainerSourav Chatterjee <souravc83@gmail.com>
LicenseMIT + file LICENSE
Version1.0.0
URL https://github.com/souravc83/fastAdaboost
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("fastAdaboost")

Man pages

adaboost: Adaboost.M1 algorithm
fastAdaboost: fastAdaboost: fast adaboost implementation for R
get_tree: Fetches a decision tree
predict.adaboost: predict method for adaboost objects
predict.real_adaboost: predict method for real_adaboost objects
print.adaboost: Print adaboost.m1 model summary
print.real_adaboost: Print real adaboost model summary
real_adaboost: Real Adaboost algorithm

Functions

adaboost Man page Source code
adaboost_fast Source code
adaboost_main_loop_ Source code
calculate_test_error_ Source code
call_rpart_ Source code
fastAdaboost Man page
fastAdaboost-package Man page
get_tree Man page Source code
precondition_checks Source code
predict.adaboost Man page Source code
predict.real_adaboost Man page Source code
predict_adaboost_ Source code
predict_adaboost_internal Source code
predict_real_adaboost_ Source code
print.adaboost Man page Source code
print.real_adaboost Man page Source code
real_adaboost Man page Source code
wrap_rpart Source code
wrap_rpart_predict Source code
wrap_rpart_predict_real Source code

Files

tests
tests/testthat.R
tests/testthat
tests/testthat/test-iris.R
tests/testthat/test-misc-mass-data.R
tests/testthat/test-adaboost_m1.R
tests/testthat/test-real-adaboost.R
tests/testthat/test-bacteria_data.R
tests/testthat/test-predict.adaboost_m1.R
tests/testthat/test-call_rpart.R
tests/testthat/test-predict-real-adaboost.R
src
src/calculate_test_error.cpp
src/predict_adaboost.cpp
src/adaboost_main.cpp
src/predict_real_adaboost.cpp
src/RcppExports.cpp
NAMESPACE
R
R/adaboost_fast.R
R/adaboost_m1.R
R/adaboost_real.R
R/print.adaboost.R
R/fastAdaboost.R
R/RcppExports.R
R/predict_adaboost_internal.R
R/get_tree.R
R/predict_adaboost.R
R/wrap_rpart_predict.R
R/wrap_rpart.R
README.md
MD5
DESCRIPTION
man
man/print.adaboost.Rd
man/real_adaboost.Rd
man/fastAdaboost.Rd
man/print.real_adaboost.Rd
man/predict.adaboost.Rd
man/get_tree.Rd
man/predict.real_adaboost.Rd
man/adaboost.Rd
LICENSE
fastAdaboost documentation built on May 20, 2017, 4:42 a.m.