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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.
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.