tslearn-team / tslearn-team/tslearn
SBD distance function
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Description
Hi,
I was wondering if the SBD distance function (used in KShape) can be easily accessed?
For instance, in spite of the existence of cdist_dtw or k-mean clustering (with dtw metric) in tslearn package, the DTW distance itself function is available.
I was wondering if the same thing can be applied for the KShape method and its distance (SBD) can be easily used? I understand that DTW is more popular, but having access to new tools such as SBD function can help researchers on the application side to better investigate new methods for their own problems.
Best,
Nima
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Research direction
The issue requests public access to the SBD distance used by KShape, analogous to cdist_dtw. Start by locating the KShape implementation and its SBD calculation, then inspect how cdist_dtw is exposed. Done means users can call SBD directly through a documented public interface.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100