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I encounter some trouble when trying to read your code. I plan to change the dataset to my version, but I do not understand what does 'condition' mean?
Could you please explain it to me?
ret = dict(X=raw_input[[-1], :, :], condition=raw_input[:-1, :, :])
The text was updated successfully, but these errors were encountered:
Intrinsically yes. condition implies the same underlying structure as X but with different observation noise. condition and X are the same indexed slices from different MRI acquisitions, which contain different noise. However, only condition is used as inputs to the model and X here is used as reference that the model is optimized towards.
I encounter some trouble when trying to read your code. I plan to change the dataset to my version, but I do not understand what does 'condition' mean?
Could you please explain it to me?
ret = dict(X=raw_input[[-1], :, :], condition=raw_input[:-1, :, :])
The text was updated successfully, but these errors were encountered: