- 1st column is x (epsilon minus)
- 2nd column is x (epsilon plus)
- 3rd column is y
How to form the training set ?
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chaaru datta on 14 May 2022
Hello all, I am new to machine learning and wanna use MATLAB for it... I am trying to form a training set in MATLAB on the basis of following expression:
where S denotes the training set, M = 10, m = 1 to M, is the training feature such that , denotes the training label such that .
My query is what should be the dimension of my training set. I think it should be .
Any help in this regard will be highly appreciated.
the cyclist on 14 May 2022
If I understand all of your notation correctly, I think your training set needs to be an Mx3 matrix.
If means that each observation of x has two components (epsilon minus and epsilon plus), then for each observation of the training set, you need two values to represent x, and one to represent y. So
M = [0.2 0.3 -1;
-0.3 0.4 1;
0.6 0.5 -1];
would be the representation in which
More Answers (1)
the cyclist on 17 May 2022
I spent a little bit more time with the paper.
It seems to me that in the paper, the labels y are supposed to be used when generating s (Eq. 5 & 6) and then epsilon (Eq. 7 & 8).
But you don't use your labels as part of the calculation of the features.