Comments (1)
@ogreyesp We didn't design the model based on the paper you mentioned, so I wouldn't expect exact equivalence. For how each augmentor in tsaug works, please refer to the examples in the documentation.
The blog article you mentioned was written before the release of tsaug v0.2. We made quite a few changes to augmentors/API/naming conventions in v0.2 release. Please refer to the latest documentation.
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Related Issues (12)
- Let's use type hints! HOT 2
- can't find the deepad python package HOT 1
- Default _Augmentor arguments will raise an error HOT 1
- Data augmentation for regression HOT 1
- How to augment multi_variate time series data? HOT 2
- ValueError: The numbers of series in X and Y are different. HOT 3
- _Augmenter should be exposed properly as tsaug.Augmenter
- How to cite this repo? HOT 2
- Static random augmentation across multiple time series
- Missing function calls in documentation
- How to understand normalisation in add_noise and how it is achieved?
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