[Core] Make the library compatible with AnyDataframe (spark, ray, dask)

[AzulGarza]

Description

Currently, tsfeatures utilizes a map-reduce approach and multiprocessing to compute several features for different time series. However, the implementation is currently only supported for pandas. By incorporating fugue, we can ensure tsfeatures compatibility with spark, ray, and dask.

For reference on how the implementation should look, please see https://github.com/Nixtla/statsforecast/blob/main/statsforecast/core.py#L1784.

Use case

No response

[webert6]

What's the status on this one?

[mergenthaler]

Hi @webert6, this is currently in the backlog. Are you interested in working on this?