Package: RcppEnsmallen 0.2.22.1.1

James Joseph Balamuta

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

'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++14' and 'Armadillo' 10.8.2 or later.

Authors:James Joseph Balamuta [aut, cre, cph], Dirk Eddelbuettel [aut, cph]

RcppEnsmallen_0.2.22.1.1.tar.gz
RcppEnsmallen_0.2.22.1.1.tar.gz(r-4.5-noble)RcppEnsmallen_0.2.22.1.1.tar.gz(r-4.4-noble)
RcppEnsmallen_0.2.22.1.1.tgz(r-4.4-emscripten)RcppEnsmallen_0.2.22.1.1.tgz(r-4.3-emscripten)
RcppEnsmallen.pdf |RcppEnsmallen.html
RcppEnsmallen/json (API)
NEWS

# Install 'RcppEnsmallen' in R:
install.packages('RcppEnsmallen', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/coatless-rpkg/rcppensmallen/issues

Pkgdown site:https://coatless.github.io

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

openblascppopenmp

4.87 score 12 packages 1 scripts 1.0k downloads 1 exports 2 dependencies

Last updated 27 days agofrom:afa9a9a082. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 03 2024
R-4.5-linux-x86_64OKDec 03 2024

Exports:lin_reg_lbfgs

Dependencies:RcppRcppArmadillo

Solving Linear Regression using Numeric Optimization

Rendered fromusing-rcppensmallen.Rmdusingknitr::rmarkdownon Dec 03 2024.

Last update: 2023-11-28
Started: 2019-09-30

Using RcppEnsmallen in Your Own R Package

Rendered frompackage-usage.Rmdusingknitr::rmarkdownon Dec 03 2024.

Last update: 2023-11-28
Started: 2023-11-28