Skip to content

/ adaptive

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.

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

Triangulation and compute volume #295

Open
rahimentezari opened this issue Nov 30, 2020 · 1 comment
Open

Triangulation and compute volume #295

rahimentezari opened this issue Nov 30, 2020 · 1 comment

Comments

@rahimentezari
Copy link

@rahimentezari rahimentezari commented Nov 30, 2020

Thanks for your great work.
I am working on high dimensional data (8,200K) and I want to sample the convex hull of such points in this space.
I want to use triangulation and then simplex_volume_in_embedding.
I wonder how I can use your code to form triangulation and then simplex_volume_in_embedding? I cannot find an example for learner.triangulation.
@akhmerov
Copy link
Contributor

@akhmerov akhmerov commented Dec 1, 2020

Hi!

I don't think methods that rely on locality (like triangulation) work well even with 5-dimensional data due to the curse of dimensionality. Please describe your problem in more detail—maybe there's a better alternative.

Or do you mean that your function values are so high-dimensional?

Overall the triangulation code is relatively straightforward, but it only implements a low level API, and we didn't design it for end users.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Linked pull requests

Successfully merging a pull request may close this issue.

None yet
2 participants
@akhmerov @rahimentezari