The Altair Community is migrating to a new platform to provide a better experience for you. In preparation for the migration, the Altair Community is on read-only mode from October 28 - November 6, 2024. Technical support via cases will continue to work as is. For any urgent requests from Students/Faculty members, please submit the form linked here

Multi Label for Deep Learning Modell

BucLauBucLau Member Posts: 2 Learner I
in Help
Hey, I'm kinda new with RapidMiner.
I'm working on a Deep Learning Modell and my dataset has around 400 attributes which has to be predicted. Is there an possible way to label these attributes without doing it one by one?

Thanks!
Tagged:

Best Answers

  • lionelderkrikorlionelderkrikor RapidMiner Certified Analyst, Member Posts: 1,195 Unicorn
    Solution Accepted
    Hi @BucLau,

    I think you can use the Loop Attributes operator...

    Regards,

    Lionel
  • BucLauBucLau Member Posts: 2 Learner I
    Solution Accepted
    Hey @lionelderkrikor

    Thank you for your answer! I solved my problem with the "Multi Label Modelling" Operator and used the "invert selection". But I will try the "Loop Attributes" Operator for testing reasons!
Sign In or Register to comment.