Extension model nugget

The Extension model nugget is generated and placed on the Models palette after executing the Extension Model node, which contains the R or Python for Spark script that defines the model building and model scoring. By default, the Extension model nugget contains the script that is used for model scoring, options for reading the data, and any output from the R console or Python for Spark. Optionally, the Extension model nugget can also contain various other forms of model output, such as graphs and text output. After the Extension model nugget is generated and added to the stream canvas, an output node can be connected to it. The output node is then used in the usual way within IBM® SPSS® Modeler streams for obtaining information about the data and models, and for exporting data in various formats.

To use this node with R, you must install IBM SPSS Modeler - Essentials for R. See the IBM SPSS Modeler - Essentials for R: Installation Instructions for installation instructions and compatibility information. You must also have a compatible version of R installed on your computer.