How can I vectorize this piece of code for loading cross-validation from file ?

1 次查看（过去 30 天）
Dang Manh Truong
Dang Manh Truong 2016-11-19
评论： Dang Manh Truong 2016-11-19
So I am supposed to load the cross-validation folds from a file (10 iterations, each is 10-folds, so a total of 100, arranged sequentially in a 1-dimensional array). I have attached the file below. The problem is my code uses for loops intensively and I would like to vectorise it, here is my code:
input_filename = 'cv_yeast.mat';
cv = load(input_filename);
nfolds= 10;
niters = 10;
for loop =1:niters
for i = 1 : nfolds
teIdx = cv.cv{((loop-1)*nfolds + i)};
trIdx = [];
for j = 1 : nfolds
if j ~= i
trIdx = [trIdx; cv.cv{(loop - 1)*nfolds + j}];
end
end
% Processing goes here
end
end
For some reasons I don't want to vectorise the 2 outer for loops, just the inner one. Can anyone help me, thank you very much :)

请先登录，再回答此问题。

采纳的回答

Walter Roberson
Walter Roberson 2016-11-19
Possibly
jv = setdiff(1 : nfolds, i);
trIdx = vertcat( cv.cv{(loop - 1)*nfolds + jv} );

更多回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 2-D and 3-D Plots 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by