We invite you to shape the future of IBM, including product roadmaps, by submitting ideas that matter to you the most. Here's how it works:
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Post ideas and requests to enhance a product or service. Take a look at ideas others have posted and upvote them if they matter to you,
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The IBM team may need your help to refine the ideas so they may ask for more information or feedback. The product management team will then decide if they can begin working on your idea. If they can start during the next development cycle, they will put the idea on the priority list. Each team at IBM works on a different schedule, where some ideas can be implemented right away, others may be placed on a different schedule.
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Some ideas can be implemented at IBM, while others may not fit within the development plans for the product. In either case, the team will let you know as soon as possible. In some cases, we may be able to find alternatives for ideas which cannot be implemented in a reasonable time.
Get TSmodel nugget's results using Python on SPSS Modeler 18.x or higher versions
When generating a nugget from a Temporal Series model, we need to get model metadata from Python code.
For example, if the TS Model is configured to indicate the technique automatically using the Expert Modeler Parameter after the Nugget generation, we need to store the recommended model and sub-model. For this, we use the following Python commands in SPSS Modeler V17.0:
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