Package: RcppEnsmallen 0.2.21.1.1
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++11' and 'Armadillo' 9.800 or later.
Authors:
RcppEnsmallen_0.2.21.1.1.tar.gz
RcppEnsmallen_0.2.21.1.1.zip(r-4.5)RcppEnsmallen_0.2.21.1.1.zip(r-4.4)RcppEnsmallen_0.2.21.1.1.zip(r-4.3)
RcppEnsmallen_0.2.21.1.1.tgz(r-4.4-x86_64)RcppEnsmallen_0.2.21.1.1.tgz(r-4.4-arm64)RcppEnsmallen_0.2.21.1.1.tgz(r-4.3-x86_64)RcppEnsmallen_0.2.21.1.1.tgz(r-4.3-arm64)
RcppEnsmallen_0.2.21.1.1.tar.gz(r-4.5-noble)RcppEnsmallen_0.2.21.1.1.tar.gz(r-4.4-noble)
RcppEnsmallen_0.2.21.1.1.tgz(r-4.4-emscripten)RcppEnsmallen_0.2.21.1.1.tgz(r-4.3-emscripten)
RcppEnsmallen.pdf |RcppEnsmallen.html✨
RcppEnsmallen/json (API)
NEWS
# Install 'RcppEnsmallen' in R: |
install.packages('RcppEnsmallen', repos = c('https://coatless-rpkg.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/coatless-rpkg/rcppensmallen/issues
armadillocpp11ensmallenoptimizationrcpprcpparmadillo
Last updated 8 months agofrom:810142588a. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 13 2024 |
R-4.5-win-x86_64 | OK | Oct 13 2024 |
R-4.5-linux-x86_64 | OK | Oct 13 2024 |
R-4.4-win-x86_64 | OK | Oct 13 2024 |
R-4.4-mac-x86_64 | OK | Oct 13 2024 |
R-4.4-mac-aarch64 | OK | Oct 13 2024 |
R-4.3-win-x86_64 | OK | Oct 13 2024 |
R-4.3-mac-x86_64 | OK | Oct 13 2024 |
R-4.3-mac-aarch64 | OK | Oct 13 2024 |
Exports:lin_reg_lbfgs
Dependencies:RcppRcppArmadillo
Solving Linear Regression using Numeric Optimization
Rendered fromusing-rcppensmallen.Rmd
usingknitr::rmarkdown
on Oct 13 2024.Last update: 2023-11-14
Started: 2019-09-30
Using RcppEnsmallen in Your Own R Package
Rendered frompackage-usage.Rmd
usingknitr::rmarkdown
on Oct 13 2024.Last update: 2023-11-14
Started: 2023-11-14
Readme and manuals
Help Manual
Help page | Topics |
---|---|
RcppEnsmallen: Header-Only C++ Mathematical Optimization Library for 'Armadillo' | RcppEnsmallen-package RcppEnsmallen |
Linear Regression with L-BFGS | lin_reg_lbfgs |