MuyGPyS
MuyGPyS copied to clipboard
LLNL
A fast, pure python implementation of the MuyGPs Gaussian process realization and training algorithm.
The tests now pass but I had to replicate several brittle pieces of logic. Open to suggestions on how to make this better.
Need to understand and extensively test the performance of muyGP torch functionality. @bwpriest Hi MIn, here is the [toy example](https://github.com/boya66/MuyGPyS/blob/feature/update-torch-GP/docs/examples/muyGP_torch_regression_toy.py) we discussed previously.
Torch doesn't like it when we try to use, e.g., `muygps_sigma_sq_optim` on a `MuyGPS` object because of an issue with `deepcopy`. Will need to figure out a way to support...
We need to add Amanda and Imène's hierarchical nonstationary kernel into the library and integrate it into all workflows and tests. It will most likely need to be reworked so...
This is likely a bug. Need to investigate and create a test to cover this case.
Thus far, we have been constructing kernels of the form $$ \sigma^2 (K + \tau^2 I_n) $$ and optimizing $\sigma^2$ with a closed-form equation. However, with the leave-one-out-likelihood we can...
We need to add LLNL/clippy-fied bindings to a nearest neighbors and distance tensor construction pipeline, once it is complete, to sit inside of `MyGPyS.neighbors.NN_Wrapper`. The final product will likely need...
We need to go through all of the tests that we want to run in MPI mode and update the shape tests to use `_consistent_unchunk_tensor` and `_consistent_assert` so that everything...
As the library has matured, we have moved away from relying upon one-line interfaces. In the next release we should crystallize `MuyGPyS.examples` into single-use functions that are meant to be...