Hey! I am currently working with data having multiple outcome variables. So for example, my outcome I want to predict can be of multiple dimension. One line of the data could look like the following:
y = [10, 15] x = [13, 735478, 0.555, …] So I want to predict all dimensions of the outcome. I have seen that some algorithms can predict such multiple targets. I have tried it with LinearRegression and it seems to work fine. I have not found a clear description of how this works though. Does it fit one Regression separately for each outcome variable? Best, Philipp ------------------------------------------------------------------------------ Slashdot TV. Video for Nerds. Stuff that matters. http://tv.slashdot.org/ _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
