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
vector prediction using neural network
lubomir_karlik
Member Posts: 4 
Contributor I
Hi!
I am wondering, if there is a straightforward method how to predict a vector instead of a single value.
Problem: example set = set of regular attributes + set of labels. I need a prediction model that can predict the labeled attribute values.
I have seen some threads here discussing multiple label iterator. but this would mean to handle one model for each predicted attribute. I am aware of the fact that the models predicting single value are simpler, but I would still prefer the vector prediction.
Thank you for response in advance!
Best regards,
Lubomir
I am wondering, if there is a straightforward method how to predict a vector instead of a single value.
Problem: example set = set of regular attributes + set of labels. I need a prediction model that can predict the labeled attribute values.
I have seen some threads here discussing multiple label iterator. but this would mean to handle one model for each predicted attribute. I am aware of the fact that the models predicting single value are simpler, but I would still prefer the vector prediction.
Thank you for response in advance!
Best regards,
Lubomir
0
Answers
there's a VectorLinearRegression available, which can handle multiple labels. If you tune your feature set, LinearRegression will become a very powerfull prediction algorithm.
Greetings,
Sebastian
Thank you very much for the tip! I will try that.
Best regards,
Lubomir