You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
E-MNIST can be split into various kinds, depending on whether class-balance is needed or not.
The balanced dataset header in this link shows that this is derived from the ByMerge split, and finally has 47 classes, unlike 62 (unbalanced).
Does each user in the F-EMNIST dataset have balance across classes? Directly by using your code, I got an unbalanced dataset per user with many classes having as low as 1 image within that task.
Is there a way to generate class-balanced user splits from the code?
Thank you
The text was updated successfully, but these errors were encountered:
Hi - thanks for the great library.
E-MNIST can be split into various kinds, depending on whether class-balance is needed or not.
The balanced dataset header in this link shows that this is derived from the
ByMerge
split, and finally has 47 classes, unlike 62 (unbalanced).Does each user in the F-EMNIST dataset have balance across classes? Directly by using your code, I got an unbalanced dataset per user with many classes having as low as 1 image within that task.
Is there a way to generate class-balanced user splits from the code?
Thank you
The text was updated successfully, but these errors were encountered: