Allow targets to have an ensemble dimension in UnbiasedEnsembleMeanSquaredError.
#244
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Allow targets to have an ensemble dimension in
UnbiasedEnsembleMeanSquaredError.If present, debias the target contribution as well.
One might ask, "how do you get an ensemble dim in the target?" Very good question, here is an answer. You could use the child CLs to...
StackToRangethe 'ensemble' and 'lead_time' dims in predictions into a new ensemble dimRenamethe target's 'valid_time' dim into an ensemble dimThis same "trick" could be used for all ensemble metrics...effectively turning them into distributional distance measures. E.g. we could do a version of CRPS that subtracts (1/2) E|Y - Y'|.