CRAN/E | RcppEnsmallen

RcppEnsmallen

Header-Only C++ Mathematical Optimization Library for 'Armadillo'

Installation

About

'Ensmallen' is a templated C++ mathematical optimization library (by the 'MLPACK' team) that provides a simple set of abstractions for writing an objective function to optimize. Provided within are various standard and cutting-edge optimizers that include full-batch gradient descent techniques, small-batch techniques, gradient-free optimizers, and constrained optimization. The 'RcppEnsmallen' package includes the header files from the 'Ensmallen' library and pairs the appropriate header files from 'armadillo' through the 'RcppArmadillo' package. Therefore, users do not need to install 'Ensmallen' nor 'Armadillo' to use 'RcppEnsmallen'. Note that 'Ensmallen' is licensed under 3-Clause BSD, 'Armadillo' starting from 7.800.0 is licensed under Apache License 2, 'RcppArmadillo' (the 'Rcpp' bindings/bridge to 'Armadillo') is licensed under the GNU GPL version 2 or later. Thus, 'RcppEnsmallen' is also licensed under similar terms. Note that 'Ensmallen' requires a compiler that supports 'C++11' and 'Armadillo' 9.800 or later.

Citation RcppEnsmallen citation info
github.com/coatless-rpkg/rcppensmallen
r-pkg.thecoatlessprofessor.com/rcppensmallen/
github.com/mlpack/ensmallen
ensmallen.org/
Copyright see file COPYRIGHTS
Bug report File report

Key Metrics

Version 0.2.21.1.1
R ≥ 4.0.0
Published 2024-02-17 78 days ago
Needs compilation? yes
License GPL-2
License GPL-3
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Maintainer

Maintainer

James Joseph Balamuta

balamut2@illinois.edu

Authors

James Joseph Balamuta

aut / cre / cph

Dirk Eddelbuettel

aut / cph

Material

README
NEWS
ChangeLog
Reference manual
Package source

Vignettes

Using RcppEnsmallen in Your Own R Package
Solving Linear Regression using Numeric Optimization

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

RcppEnsmallen archive

Depends

R ≥ 4.0.0

Imports

Rcpp

Suggests

knitr
rmarkdown

LinkingTo

Rcpp
RcppArmadillo ≥ 0.9.800.0.0

Reverse LinkingTo

HDJM
mlpack
Racmacs
sparsevb
VBJM