I ran the following code:
permuted_raw_data, _, permuted_labels = prepare_fcma_data(images, epoch_list, mask, random=2) print(permuted_labels)
which gives me this output:
[0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1]
However, I get the exact same output, when I run the same code again or when I set random=0, random=1, random=2, or when I leave out the random argument altoghether. From what I understand, this should not happen, as the lables should be shuffled? Do I get the documentation wrong or might there be a bug?
Also, I the end, my fcma results give me the same classification performance, regardless of what I set the random argument to.
I ran the following code:
permuted_raw_data, _, permuted_labels = prepare_fcma_data(images, epoch_list, mask, random=2) print(permuted_labels)which gives me this output:
[0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1]
However, I get the exact same output, when I run the same code again or when I set
random=0,random=1,random=2, or when I leave out the random argument altoghether. From what I understand, this should not happen, as the lables should be shuffled? Do I get the documentation wrong or might there be a bug?Also, I the end, my fcma results give me the same classification performance, regardless of what I set the random argument to.