https://github.com/cumulocity-iot/r-pmml

Generate PMML for various machine learning and statistical models.
https://github.com/cumulocity-iot/r-pmml

machine-learning pmml r zementis

Last synced: 8 days ago
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Generate PMML for various machine learning and statistical models.

• Host: GitHub
• URL: https://github.com/cumulocity-iot/r-pmml
• Owner: Cumulocity-IoT
• License: gpl-3.0
• Created: 2019-05-29T22:53:39.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2022-03-08T01:08:21.000Z (over 2 years ago)
• Last Synced: 2024-10-30T19:11:55.759Z (8 days ago)
• Topics: machine-learning, pmml, r, zementis
• Language: R
• Homepage: https://softwareag.github.io/r-pmml/
• Size: 3.29 MB
• Stars: 20
• Watchers: 5
• Forks: 5
• Open Issues: 1
• Metadata Files:
  • Readme: README.Rmd
  • License: LICENSE
  • Code of conduct: .github/CODE_OF_CONDUCT.md

Awesome Lists containing this project

README

        
---

output: github_document

---

```{r, include = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-",

  out.width = "100%"

)

```

# 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 example, message=FALSE}

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.