For loop for SVM variable files

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I want to classify my data with SVM on MATLAB. I have a folder, this folder has 70 sub-folders. Each of the 70 sub-folders has three preprocessed .mat files(selected features). These three files are my predictor variables. My design matrix is in a .mat file. Inside the design matrix, there are 3 items, out of which I want to use 2 as my class variables.
Using fitcsvm or any other Matlab svm function, I'm trying to classify that the predictor variables Fall into one of the two classes.
How do write a for loop that runs through these subfolders so that X = the predictor variables and Y= the class variables.

Accepted Answer

Balaji Udayagiri
Balaji Udayagiri on 8 Jul 2022
Hi Monalisa
As per my understanding, you want to loop through the folders to read the predictor variables for the SVM.
D = dir; %folder that contains the 70 data folders
D = D(~ismember({D.name}, {'.', '..'}));
for i = 1:numel(D)
subD = D(i).name; %each data folder containing the 3 subfolders
for j = 1:numel(subD)
currD = subD(j).name; %folder of the individual predictor variable
fList = dir(currD); % list contains the files in the current directory
% here you can read the data into your input variables, Not sure how the data is present in the folder.
end
end
  1 Comment
Monalisa Chikezie
Monalisa Chikezie on 9 Jul 2022
Hi @Balaji Udayagiri, thank you for the swift response. I updated the question. Does this still hold with the updated question?

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More Answers (1)

Pamudu Ranasinghe
Pamudu Ranasinghe on 7 Jul 2022
I think you can use "datastore" function in matlab
You dont need to loop through the files use 'IncludeSubfolders' to 'true' in datastore function.
This will do your work

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