Hello please I am new to making predictions of multiple targets, but not sure how to go about it. So i have a total of 12 columns and 3 out of them are my target variables, what are the possible models for this kind of problem. I have been doing single target predictions but not sure how to go about this one. below is sample of the table, my targets are the three coloured columns sample_data picth, yaw and degree. Is there a model for this kind of situation or I have to predict one after the other. my motive is to train and predict the three targets using fresh data.
Asked
Active
Viewed 57 times
0
-
What's your framework? Sklearn supports multioutput (i.e. a vector of targets) natively for the majority of its models, and provides `sklearn.multioutput.MultiOutputRegressor()` wrapper for the others. – dx2-66 Oct 05 '22 at 09:54
-
thank you @dx2-66, I used Multioutputregressor. I think it did what I expected. – Savy Oct 05 '22 at 16:42