why don't you zscore the x_mat first and add your column vector of all ones, although I don't quite understand why you want to do this. mathematically, std(ones(1, whateverLength)) is 0 and you divide 0 by 0 which will give you a nan.
python to matlab [1,x] form question
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Hello ,there is a trick in python to turn every matrices of NX2 into an NX2 matrices where the first column is all '1'
as shown in python bellow. i tried the same trick in matlab, its not working.
Where did i got wrong?
Thanks.
python:
feature_matrix = (feature_matrix - feature_matrix.mean()) / feature_matrix.std()
matlab:
x_data=[1:1000]
onss=ones(1,1000)
x_mat=[onss;x_data]'
x_mat=(x_mat-mean(x_mat))./std(x_mat);
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