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rtavenar avatar rtavenar commented on July 30, 2024

Hi,

In practice, the reason why we have not implemented this feature in tslearn is exactly so that users do not misunderstand what TimeSeriesScalerMinMax does: it does not scale each feature (across the dataset) to lie in [0, 1]. It scales each time series so that its features lie in [0, 1].

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jamesmyatt avatar jamesmyatt commented on July 30, 2024

The classes in preprocessing are not scikit-learn compatible transformers since they don't implement fit and transform as separate methods.

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rtavenar avatar rtavenar commented on July 30, 2024

@GillesVandewiele is there a reason why, in the preprocessing module, some objects have both fit and transform methods even if fit does nothing and others only have fit_transform ?

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GillesVandewiele avatar GillesVandewiele commented on July 30, 2024

I'm not entirely sure, but my tests may skip those classes at this moment (as they do not inherit from Estimator).

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rtavenar avatar rtavenar commented on July 30, 2024

This is done for all transformers in preprocessing now. Waiting for Travis, if things pass, I'll close this issue.

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