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[ENH] Consider changing outlier_norm default to True for Catch22 estimators. #2648
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classificationClassification packageClassification packageclusteringClustering packageClustering packageenhancementNew feature, improvement request or other non-bug code enhancementNew feature, improvement request or other non-bug code enhancementregressionRegression packageRegression packagetransformationsTransformations packageTransformations package
Description
Describe the feature or idea you want to propose
Catch22 can take significantly longer to calculate based on the max value in the series. Higher values mean longer run time. The outlier_norm parameter mitigates this by normalising for the features responsible, but by default it is set to False.
Describe your proposed solution
Evaluate the impact of the parameter for series with low/medium/high values. Based on results, decide whether to change the default or not.
Describe alternatives you've considered, if relevant
No response
Additional context
This parameter does not exist in the original publication, as all the series were normalised in the paper so this issue was not present.
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classificationClassification packageClassification packageclusteringClustering packageClustering packageenhancementNew feature, improvement request or other non-bug code enhancementNew feature, improvement request or other non-bug code enhancementregressionRegression packageRegression packagetransformationsTransformations packageTransformations package