Using a SVM Within a Stacked Model...

User: "M_Martin"
New Altair Community Member
Updated by Jocelyn

Colleagues:  Being relatively new to the RM Platform I've been happily experimenting with various techniques.  I created a model that uses Stacking, which worked great until I added a SVM to the Stacking Operator (either as part of the "Model Stack" or as the "Learner".  Now the process throws an error just before completion and stops.  The log error messages (all of them severe) and the Excel source data for the process are contained in the attached file "Error_Messages_and_Source_Data.zip" which can be inflated with either WinZip or WinRar.  

The Process I designed is in the attached .rmp file.

When I take the SVM out of the Stacking operator and replacing it with another Operator (such as Deep Learning, etc.) everything works great again - so I am led to the conclusion that either one should simply not use a SVM as part of a Stacking Model, or there is another step that needs to be done given the requirements / architecture of the SVM Operator within a Stacking Model.

Thanks for considering this and pointing me in the right direction and best wishes, Michael

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    User: "M_Martin"
    New Altair Community Member
    OP
    Accepted Answer

    Hallo Martin:

    You're absolutely right - I can only guess that I must have made an error having to do with Grouping Models correctly.  Plus I needed to apply your tip re: converting the prediction Nominals on the "Base Learners" side of the Stacked Model to Numericals prior to feeding everything through to the SVM on the "Learner" side of the Stacked Model.

    I reconstructed everything from the start, making sure to Group Models very carefully and apply the above mentioned tip from you, and all works as expected. ;-)

    My sincere thanks for your patience and advice, very much appreciated.  

    As far as I'm concerned, it looks like we can close this issue.

    Attached is the test version I just put together and tested, which works fine.  

    Alles gute - MfG, Michael