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@bwpriest bwpriest released this 18 Nov 05:56
· 123 commits to main since this release
v0.6.4
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Learn about vigilant mode.

v0.6.4 introduces the fast mean prediction features described in [Dunton2022]. Notably, this fast mean prediction workflow is only supported in shared memory (numpy and JAX backends). Attempts to access the new functions while in MPI mode will raise NotImplementedErrors. Changes in detail include:

  • Added functions for creating the precomputed coefficient tensor for the fast regression feature
  • Added fast_regress() functions to MuyGPyS.gp.muygps.MuyGPS and MuyGPyS.gp.muygps.MultivariateMuyGPS
  • Added high level workflow for implementing fast regression in MuyGPyS.examples.fast_regress
  • Added new documentation notebook explaining the fast regression workflow
  • Added some performance improvements for MPI back end

[Dunton2022] Dunton, Alec M., Benjamin W. Priest, and Amanda Muyskens. “Fast Gaussian Process Posterior Mean Prediction via Local Cross Validation and Precomputation.” arXiv preprint arXiv:2205.10879 (2022).

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