I have 210 * 8k DataFrame and 200 of them is input columns and 10 of them is output columns.
(some textbook use the word "X column" and "y column", according that I have 200 X columns and 10 y columns)
All output columns are continous float(regression) and this dataframe is not refined.
So, I trying pycaret(AutoML package) and it works well. But, only one of each y column.
I repeate 10 times for each 10 y columns.
In Scikit-learn, "sklearn.multioutput.MultiOutputRegressor" surports Multioutputs.
But How can I make multioutput regression in pycaret?
