adaptive
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Triangulation and compute volume
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.
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.