This package is considered a duplicate. The official version of this package is found at:https://zdebruine.r-universe.dev/RcppML
Package: RcppML 0.3.7.1
RcppML: Rcpp Machine Learning Library
Fast machine learning algorithms including matrix factorization and divisive clustering for large sparse and dense matrices.
Authors:
RcppML_0.3.7.1.tar.gz
RcppML_0.3.7.1.tar.gz(r-4.7-arm64)RcppML_0.3.7.1.tar.gz(r-4.7-x86_64)RcppML_0.3.7.1.tar.gz(r-4.6-arm64)RcppML_0.3.7.1.tar.gz(r-4.6-x86_64)
RcppML_0.3.7.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
RcppML/json (API)
| # Install 'RcppML' in R: |
| install.packages('RcppML', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/zdebruine/rcppml/issues
Last updated from:750aa472cd. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 155 | ||
| linux-devel-x86_64 | OK | 140 | ||
| source / vignettes | OK | 211 | ||
| linux-release-arm64 | OK | 140 | ||
| linux-release-x86_64 | OK | 145 | ||
| wasm-release | OK | 121 |
Exports:bipartitiondclustgetRcppMLthreadsmsenmfnnlsprojectsetRcppMLthreads
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bipartition a sample set | bipartition |
| Divisive clustering | dclust |
| Get the number of threads RcppML should use | getRcppMLthreads |
| Mean Squared Error loss of a factor model | mse |
| Non-negative matrix factorization | nmf |
| Non-negative least squares | nnls |
| Project a linear factor model | project |
| RcppML: Rcpp Machine Learning Library | RcppML-package RcppML |
| Set the number of threads RcppML should use | setRcppMLthreads |
