Re: Sample Entropy
Pamphile Roy <[email protected]>
| Newsgroups | gmane.comp.python.scientific.devel |
|---|---|
| Message-ID | <[email protected]> |
Hi Sebastian, > On 17.01.2023, at 17:26, Sebastian Wallkötter <[email protected]> wrote: > > Did I understand you right that you don't think it is a good fit for SciPy? I don’t know. Looking at the current API maybe not, but I personally don’t have a vision for this module. Other maintainers could say otherwise :) > Also, I did not know about antropy until now; thanks for pointing it out. Digging into the code, I found that it only uses numba for short sequences (<5k items) and delegates longer ones to MNE-Features (which I will have to check out). To see how well this works I ran a quick benchmark using random data. For short sequences, the runtime is mine < numba < MNE (yay), and for large sequences, the runtime is MNE < mine < numba. In other words, my kernel appears to be an improvement over the current numba one, so I will open an issue at antropy in any case. Sounds great to collaborate there at first! And again, maybe there can be cross pollination at some point between the projects if signal residents are up for it. Cheers, Pamphile _______________________________________________ SciPy-Dev mailing list -- [email protected] To unsubscribe send an email to [email protected] https://mail.python.org/mailman3/lists/scipy-dev.python.org/ Member address: [email protected]