Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Option to utilize non-equidistant min-max in MinMaxLTTB #35

Open
jonasvdd opened this issue Apr 6, 2023 · 0 comments
Open

Option to utilize non-equidistant min-max in MinMaxLTTB #35

jonasvdd opened this issue Apr 6, 2023 · 0 comments
Labels
enhancement New feature or request

Comments

@jonasvdd
Copy link
Member

jonasvdd commented Apr 6, 2023 •
edited
Loading

This GitHub aims to improve the computational performance of the MinMaxLTTB.

To clarify, MinMaxLTTB currently utilizes the x data in the minmax prefetching step. This causes to create equidistant bins, which is computationally expensive.

Since this MinMax prefecthing tends to use an n_out factor greater than 20, it may be advantageous to consider the MinMax prefetching method for only the y-values (and thus not the x-values) while omitting the equidistant binning.
@jonasvdd jonasvdd added the enhancement New feature or request label Apr 6, 2023
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
enhancement New feature or request
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
1 participant
@jonasvdd