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I found a paper using this
Its simple enough to implement:
median_absolute_error(ŷ, y) =median(abs.(ŷ .- y)) const mdae = median_absolute_error
Its not the fastest measure to compute, but on most sizes of test data it is going to be cheap vs training.
The text was updated successfully, but these errors were encountered:
PR welcome.
This probably follows the pattern of RSqaured and would have the same traits.
RSqaured
You will want to add missing handling, which you can do by including the supports_missings_measure wrapper in this pipeline.
missing
supports_missings_measure
You can add the aliases median_absolute_error and mdae when you "register" the new constructor.
median_absolute_error
mdae
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I found a paper using this
Its simple enough to implement:
Its not the fastest measure to compute, but on most sizes of test data it is going to be cheap vs training.
The text was updated successfully, but these errors were encountered: