Multi Label for Deep Learning Modell
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!
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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!
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!
Sort by:
1 - 2 of
21
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!
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!
I think you can use the Loop Attributes operator...
Regards,
Lionel