Tech Tips

Setting System Options in IBM SPSS Modeler

To improve your experience using IBM SPSS Modeler, the Version 1 SPSS experts have created various Tech Tips. This Tech Tip shows setting system options in Modeler. 

IBM SPSS Modeler is an extensive predictive analytics platform designed to bring predictive intelligence to decisions made by individuals, groups, systems, and the enterprise. Modeler has an easy-to-use drag-and-drop user interface with a complete set of tools for accessing data, data examination, preparation, modelling, evaluation, and deployment. 

IBM SPSS Modeler users have a complete toolset to build predictive models from start to finish. Modeler uses node-based, visual programming. Users pick nodes from palettes and place them on the stream canvas. Once nodes have been placed on the stream canvas and edited, they can be linked to form a stream. A stream represents a flow of data through several operations (nodes) to a destination that can be in the form of output (either text or chart), a model, or the export of data to another format (e.g., a database).   

The Tools menu provides the Options menu with System Options, User Options and Helper Applications. Users can specify their preferred language or locale for Modeler on the Systems Options menu. Users can also set the maximum memory usage for SPSS Modeler and determine how often to automatically save streams. Changes in this dialogue box take effect when you restart Modeler. 

To set System Options in Modeler, go to the Tools menu and select Options and System Options. On Maximum memory, choose to impose a megabyte limit on IBM SPSS Modeler’s memory usage. Reading large data or a very large model can lead to a memory error. The recommended increase is 4096Mb. Users can change the memory. The maximum memory threshold you can specify is 58368Mb due to a Java constraint. Users can also set system locale. English is the default setting. Deselect to change. To set the Stream auto save interval (minutes), enter the time for saving streams automatically. 

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