[ENH] wrap/implement Global Alignment DTW

[TonyBagnall]

Describe the feature or idea you want to propose

there is an interesting paper here, that describes an extension of DTW
https://arxiv.org/pdf/2002.03848.pdf
described here
https://rtavenar.github.io/hdr/parts/01/dtw/dtw_gi.html

Describe your proposed solution

It might already be in tslearn, in which case we can maybe wrap it, although might be better to port it in for numba reasons?

Describe alternatives you've considered, if relevant

No response

Additional context

No response

[SalmanDeveloperz]

Hi Maintainers,

I am interested in contributing to this issue. I wanted to confirm if the Global Alignment DTW feature is already implemented in tslearn. If not, would you prefer it to be wrapped from an existing implementation or ported directly for performance optimization using numba?

I am happy to start working on this and would appreciate any guidance or additional context.
Thanks

[baraline]

Hi @SalmanDeveloperz,

By philosophy, we prefer to have our own implementation instead of warper when it's possible/reasonable. I think @chrisholder would be best suited to guide you on the details this issue and the state of the distance module.

Meanwhile, I'm sure you can start with some the implemented dtw inside the distance module and try to make the modification pour global alignment in a copy of it. That should get you started !

[tanishy7777]

By philosophy, we prefer to have our own implementation instead of warper when it's possible/reasonable. I think @chrisholder would be best suited to guide you on the details this issue and the state of the distance module.

Hi, Can I work on this? It seems like no one is working on it?

[tanishy7777]

@aeon-actions-bot assign @tanishy7777