Closed jakipatryk closed 1 year ago
I already did everything I can to optimise the current design but it still is too slow. Library needs to be redesigned to compute cohomology instead, which should significantly improve E2E performence. Will be done in epic https://github.com/jakipatryk/spark-persistent-homology/issues/38.
Individual components are probably already OK (except Vietoris-Rips filtration generation), but full flow (points cloud -> persistence image) is really slow. Before 1.0.0 release it must be improved significantly.
To do: