arundo/tsaug

Equivalence in transformation names

Opened this issue · 1 comments

ogreyesp commented

Hello

I'm very interested to use and apply Tsaug library in my personal project.

I have read the paper "Data Augmentation ofWearable Sensor Data for Parkinson’s
Disease Monitoring using Convolutional Neural Networks" and I'm quite confused about the name of the transformations.

What are the equivalent in TSAUG library for the transformations Jittering, Scaling, rotation, permutation, MagWarp mentioned in this paper?

Also, I have read the blog "https://www.arundo.com/arundo_tech_blog/tsaug-an-open-source-python-package-for-time-series-augmentation", and I didn´t find the equivalent for RandomMagnify, RandomJitter, etc.

Could you help me with these doubts.

Best regards

Oscar

tailaiw commented

@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.