[SOLVED] Loop attributes
Hi,
I am working with a dataset containing 60 attributes, each having 700 examples (and no missing values).
Attribute types are either real oder integer.
10 attributes (allways the same ones) are "normal", the remaining 50 are potential "label" attributes.
What I want to do is pick 1 of the remaining 50 attributes, set it as label, run the now 11 attributes through a Linear Regression and store the result.
My problem is that I dont want to do this 50 times manually (select a new label attribute, rename the store operator and run the process).
So my question is: Is it possible to automatically loop through the 50 potential labels and store each result file in the same folder (ideally having the name of the label) with the help of a loop operator (so i will only have to start the process once and get 50 result files out of that).
Ps.: I have allready seen the loop operators in RM, but did not have time to test things out yet.
I am working with a dataset containing 60 attributes, each having 700 examples (and no missing values).
Attribute types are either real oder integer.
10 attributes (allways the same ones) are "normal", the remaining 50 are potential "label" attributes.
What I want to do is pick 1 of the remaining 50 attributes, set it as label, run the now 11 attributes through a Linear Regression and store the result.
My problem is that I dont want to do this 50 times manually (select a new label attribute, rename the store operator and run the process).
So my question is: Is it possible to automatically loop through the 50 potential labels and store each result file in the same folder (ideally having the name of the label) with the help of a loop operator (so i will only have to start the process once and get 50 result files out of that).
Ps.: I have allready seen the loop operators in RM, but did not have time to test things out yet.