The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

glm.deploy: 'C' and 'Java' Source Code Generator for Fitted Glm Objects

Provides two functions that generate source code implementing the predict function of fitted glm objects. In this version, code can be generated for either 'C' or 'Java'. The idea is to provide a tool for the easy and fast deployment of glm predictive models into production. The source code generated by this package implements two function/methods. One of such functions implements the equivalent to predict(type="response"), while the second implements predict(type="link"). Source code is written to disk as a .c or .java file in the specified path. In the case of c, an .h file is also generated.

Version: 1.0.4
Imports: Rcpp (≥ 0.12.12), stats
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, testthat
Published: 2018-03-09
Author: Oscar Castro-Lopez [cre, aut], Ines Vega-Lopez [aut]
Maintainer: Oscar Castro-Lopez <castroloj at gmail.com>
BugReports: https://github.com/oscarcastrolopez/glm.deploy/issues
License: GPL (≥ 3) | file LICENSE
URL: https://github.com/oscarcastrolopez/glm.deploy
NeedsCompilation: yes
Materials: ChangeLog
CRAN checks: glm.deploy results

Documentation:

Reference manual: glm.deploy.pdf

Downloads:

Package source: glm.deploy_1.0.4.tar.gz
Windows binaries: r-devel: glm.deploy_1.0.4.zip, r-release: glm.deploy_1.0.4.zip, r-oldrel: glm.deploy_1.0.4.zip
macOS binaries: r-release (arm64): glm.deploy_1.0.4.tgz, r-oldrel (arm64): glm.deploy_1.0.4.tgz, r-release (x86_64): glm.deploy_1.0.4.tgz, r-oldrel (x86_64): glm.deploy_1.0.4.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=glm.deploy to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.