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:
Post your ideas
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,
Post an idea
Upvote ideas that matter most to you
Get feedback from the IBM team to refine your idea
Help IBM prioritize your ideas and requests
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.
Receive notification on the decision
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.
Publish a model into SPSS Scoring Adapter for zDB2 via a Modeler Python Scripts
I am CTA for Garanti Bank. and opening this RFE on behalf of Garanti Bank.
Requirement: enable customers to publish a model into SPSS Scoring Adapter for DB2 for z/OS via a Modeler Python Scripts Currently a model can only be published manually via a GUI. The user has to select and enter a number of parameters. (Verified in SPSS manuals and then re-confirmed with SPSS development), This does not allow for automation to be created to do the publishing of models into the scoring adapter. Garanti has well over 100 distinct predictive models that will need to be published and expect to create more. The ability to automate the deployment of newly developed or changed models is absolutely necessary to avoid delays and errors.
With modeler python scripts today, we can define and operate on many of the nodes. By exposing the attributes and operators to publish models to the scoring adapter, the modeler stream script can be created and called by automation logic.
Do not place IBM confidential, company confidential, or personal information into any field.