Comments (5)
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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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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@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 ?
from tslearn.
I'm not entirely sure, but my tests may skip those classes at this moment (as they do not inherit from Estimator
).
from tslearn.
This is done for all transformers in preprocessing now. Waiting for Travis, if things pass, I'll close this issue.
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Related Issues (20)
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