I have a use case where I apply temporal augmentation with the same random anchor across multiple time series within a segmented object. I.e., I want certain augmentations to vary across objects, but remain constant within objects.
In TimeWarp, e.g., I've added an optional keyword argument (static_rand):
Hello,
I have a use case where I apply temporal augmentation with the same random anchor across multiple time series within a segmented object. I.e., I want certain augmentations to vary across objects, but remain constant within objects.
In
TimeWarp
, e.g., I've added an optional keyword argument (static_rand
):which is used by:
Thus, instead of having
N
time series with different randomanchor_values
, I generateN
time series with the same anchor value.I use this approach with
TimeWarp
andDrift
. Would this be of any interest as a PR, or does it sound too specific?Thanks for the nice library.