Running multiple flows

We don't recommend running multiple flows at the same time using the same username under one project. If you must do this, be sure the memory limit (8 GiB, by default) is not exceeded. If too many flows are running at the same time under the same username and project, SPSS Modeler may run out of memory and return an error message such as Execution was interrupted. If you encounter the error message, complete the following steps:

• Wait for the completion of one or more flow runs
• Close your browser tabs that contain successfully completed flow runs
• Wait for 15 minutes
• Click Run on the interrupted flow that returned an error. If you use caching in your flow, flush the cache before you click Run.

KDE nodes with unsupported Python version

If your flow contains an old KDE node, when you run it you may receive an error about the model using a Python package that's no longer supported. In such a case, remove the old KDE node and add a new one.

It's hard to tell the difference between models generated from Text Analytics

In the Text Analytics Workbench, when you click Generate new model, a new model nugget is created in your flow. If you generate multiple models, they all have the same name, so it may be difficult to differentiate them. One recommendation is to use annotations to help identify them (double-click a model nugget to open its properties, then go to Annotations).