Hi, at the moment I have a dataset which looks like this:
DataSet[model_ID, DataVector] data
So what I want to do is group by the model_ID and build for each model_ID
one regression model
in pseudo code:
data.groupBy(model_ID)
--> MultipleLinearRegression().fit(data_grouped)
Is there anyway besides an iteration how to do this at the moment?
Thanks for your help,
Felix Neutatz
