Allow targets to have an ensemble dimension in UnbiasedEnsembleMeanSquaredError.#244
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Allow targets to have an ensemble dimension in UnbiasedEnsembleMeanSquaredError.#244copybara-service[bot] wants to merge 1 commit intomainfrom
UnbiasedEnsembleMeanSquaredError.#244copybara-service[bot] wants to merge 1 commit intomainfrom
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…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
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UnbiasedEnsembleMeanSquaredError.
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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'|.