Package: fastAdaboost
Type: Package
Title: a Fast Implementation of Adaboost
Description: 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.
Version: 1.0.0
Date: 2016-02-23
Author: Sourav Chatterjee [aut, cre]
Maintainer: Sourav Chatterjee <souravc83@gmail.com>
License: MIT + file LICENSE
URL: https://github.com/souravc83/fastAdaboost
BugReports: https://github.com/souravc83/fastAdaboost/issues
Depends: R (>= 3.1.2)
Imports: Rcpp, rpart
Suggests: testthat, knitr, MASS
LinkingTo: Rcpp (>= 0.12.0)
RoxygenNote: 5.0.1
Repository: https://rickhelmus.r-universe.dev
Date/Publication: 2016-03-10 03:10:22 UTC
RemoteUrl: https://github.com/souravc83/fastAdaboost
RemoteRef: HEAD
RemoteSha: f331ff8ccfe2e7f318448a29bc72af646dfaf2c1
NeedsCompilation: yes
Packaged: 2026-06-24 02:56:18 UTC; root