Let's get started with PMML and the way models are exported using it.
PMML is a standard for sharing predictive models across software. The standard has been developed and improved by the Data Mining Group since 1997. Using PMML, the user can notably build a model using one software package and use another software package for prediction. The export and/or import of models using PMML is currently supported by a wide range of solutions including (but not restricted to) R, Rapidminer, SAS Enterprise Miner, SPSS Modeler, and Weka.
Numerous algorithms are supported by PMML. The following table presents the list of algorithms we have explored for which models can be exported using the PMML package in R (actually, most of them). The function to generate the models, the package containing the function, and the chapter of this book where we have discussed it are also indicated:
|
ALGORITHM |
FUNCTION |
PACKAGE |
CHAPTER |
|---|---|---|---|
|
K-means clustering |
|
| ... |
