Interpretation Extension: retrieve model from repository

anaRodriguesanaRodrigues MemberPosts:33Contributor II
Hello,

I would like to generate a SHAP interpretation for a model I have stored in the repository. Is this possible? It doesn't seem to work.

                                          


Thanks in advance,
Ana

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Best Answer

  • anaRodriguesanaRodrigues MemberPosts:33Contributor II
    Solution Accepted
    Hi Martin,

    All regular attributes are type 'real' as they should be. I think the problem is that the model was trained with an example set that went through feature selection, so the sets of attributes are not the same. I didn't think this would be an issue because the 'apply model' operator works just fine when I input the test set with the full set of attributes.

    Do you know of any way to fix this?

    谢谢,
    Ana

Answers

  • MartinLiebigMartinLiebig Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University ProfessorPosts:3,368RM Data Scientist
    Hi,
    whats the error message?
    Best,
    Martin
    - Head of Data Science Services at RapidMiner -
    德国多特蒙德
  • anaRodriguesanaRodrigues MemberPosts:33Contributor II
    Hi Martin,

    Here it is.


    Thank you,
    Ana
  • MartinLiebigMartinLiebig Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University ProfessorPosts:3,368RM Data Scientist
    thats not a problem on the model side. The data you want to have explained has a different type in application compare to training of the model.
    Can you check the type? Likely it moved to nominal but is a numerical?

    Best,
    Martin
    - Head of Data Science Services at RapidMiner -
    德国多特蒙德
  • MartinLiebigMartinLiebig Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University ProfessorPosts:3,368RM Data Scientist
    Hi,
    i can only tell you what the operator shows you. And this is that this certain attribute is different to the training set. Usually a superset of your attributes should work well.
    For more details I would need to see the model and the exampleset.

    BR,
    Martin
    - Head of Data Science Services at RapidMiner -
    德国多特蒙德
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