Learn R Programming

⚠️There's a newer version (2.5.2) of this package.Take me there.

pmml

Overview

This package contains functions to export various machine learning and statistical models to PMML, as well as generate data transformations in PMML format.

For a description of the supported packages, see the Supported Packages and Additional Functions vignette.

Installation

You can install the released version of pmml from CRAN with:

install.packages("pmml")

Example

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. 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.

Copy Link

Version

Install

install.packages('pmml')

Monthly Downloads

2,308

Version

2.1.0

License

GPL-3 | file LICENSE

Issues

Pull Requests

Stars

Forks

Repository

https://github.com/SoftwareAG/r-pmml

Homepage

https://softwareag.github.io/r-pmml/

Maintainer

Tridivesh Jena

Last Published

September 13th, 2019

Functions in pmml (2.1.0)

add_data_field_attributes

Add attribute values to an existing DataField element in a given PMML file

Generate the PMML representation for R objects.

Generate PMML for an iForest object from the isofor package.

Generate the PMML representation for a cv.glmnet object from the package glmnet.

Generate the PMML representation for a coxph object from the package survival.

Generate the PMML representation for a hclust object from the package amap.

Generate the PMML representation for a kmeans object from the package stats.

Generate the PMML representation for a ksvm object from the package kernlab.

Generate the PMML representation for a glm object from the package stats.

Generate PMML for an ARIMA object the forecast package.

Generate the PMML representation for a gbm object from the package gbm.

pmml: Generate PMML for R Models

pmml.naiveBayes

Generate the PMML representation for a naiveBayes object from the package e1071.

pmml.xgb.Booster

Generate PMML for a xgb.Booster object from the package xgboost.

rename_wrap_var

Rename a variable in the xform_wrap transform object.

Create Values element, most likely to add to a DataDictionary element.

make_output_nodes

Add Output nodes to a PMML object.

pmml.randomForest

Generate the PMML representation for a randomForest object from the package randomForest.

Generate the PMML representation for a nnet object from package nnet.

xform_discretize

Discretize a continuous variable as indicated by interval mappings in accordance with the PMML element Discretize.

Save a pmml object as an external PMML file.

Generate the PMML representation for an ada object from the package ada.

Generate the PMML representation for a multinom object from package nnet.

Generate the PMML representation for an lm object from the package stats.

Add a function transformation to a xform_wrap object.

Generate the PMML representation for an rfsrc object from the package randomForestSRC.

Generate the PMML representation for an rpart object from the package rpart.

Generate PMML for a neighbr object from the neighbr package.

Generate the PMML representation for a rules or an itemset object from package arules.

Generate the PMML representation of an svm object from the e1071 package.

xform_norm_discrete

Normalize discrete values in accordance with the PMML element NormDiscrete.

Normalize continuous values in accordance with the PMML element NormContinuous.

Implement a map between discrete values in accordance with the PMML element MapValues.

Wrap data in a data transformations object.

Perform a z-score normalization on continuous values in accordance with the PMML element NormContinuous.

Create Interval elements, most likely to add to a DataDictionary element.

file_to_xml_node

Read in a file and parse it into an object of type XMLNode.

Audit: artificially constructed dataset

add_mining_field_attributes

Add attribute values to an existing MiningField element in a given PMML file.

function_to_pmml

Convert an R expression to PMML.

add_output_field

Add Output nodes to a PMML object.

Modified 1984 United States Congressional Voting Records Database

add_data_field_children

Add 'Interval' and 'Value' child elements to a given DataField element in a given PMML file.

Add attribute values to an existing element in a given PMML file.