# r-pmml **Repository Path**: mirrors_SoftwareAG/r-pmml ## Basic Information - **Project Name**: r-pmml - **Description**: Generate PMML for various machine learning and statistical models. - **Primary Language**: Unknown - **License**: GPL-3.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-09-26 - **Last Updated**: 2026-03-08 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # pmml [![CRAN status](https://www.r-pkg.org/badges/version/pmml)](https://cran.r-project.org/package=pmml) [![R-CMD-check](https://github.com/SoftwareAG/r-pmml/workflows/R-CMD-check/badge.svg)](https://github.com/SoftwareAG/r-pmml/actions) [![Codecov test coverage](https://codecov.io/gh/SoftwareAG/r-pmml/branch/master/graph/badge.svg)](https://app.codecov.io/gh/SoftwareAG/r-pmml?branch=master) ## Overview Export various machine learning and statistical models to PMML and generate data transformations in PMML format. For a description of the supported packages, see the vignette: [Supported Packages and Additional Functions](https://open-source.softwareag.com/r-pmml/articles/packages_and_functions.html). ## Installation You can install the released version of pmml from [CRAN](https://CRAN.R-project.org/package=pmml) with: ``` r install.packages("pmml") ``` ## Example ``` r library(pmml) # Build an lm model iris_lm <- lm(Sepal.Length ~ ., data=iris) # Convert to pmml iris_lm_pmml <- pmml(iris_lm) # Write to file # save_pmml(iris_lm_pmml,"iris_lm.pmml") ``` ------------------------------------------------------------------------ Please note that this project is released with a [Contributor Code of Conduct](https://github.com/SoftwareAG/r-pmml/blob/master/.github/CODE_OF_CONDUCT.md). By contributing to this project, you agree to abide by its terms. These tools are provided as-is and without warranty or support. They do not constitute part of the Software AG product suite. Users are free to use, fork and modify them, subject to the license agreement. While Software AG welcomes contributions, we cannot guarantee to include every contribution in the master project.