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@copybara-service copybara-service bot commented Mar 20, 2025

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...

  1. StackToRange the 'ensemble' and 'lead_time' dims in predictions into a new ensemble dim
  2. Rename the target's 'valid_time' dim into an ensemble dim
  3. Use this function

This 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'|.

…quaredError`.

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...

1. `StackToRange` the 'ensemble' and 'lead_time' dims in predictions into a new ensemble dim
2. `Rename` the target's 'valid_time' dim into an ensemble dim
3. Use this function

This 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'|.

PiperOrigin-RevId: 738903556
@copybara-service copybara-service bot changed the title Allow targets to have an ensemble dimension in UnbiasedEnsembleMeanSquaredError. Allow targets to have an ensemble dimension in UnbiasedEnsembleMeanSquaredError. Mar 20, 2025
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