gpjax
https://github.com/jaxgaussianprocesses/gpjax
Python
Gaussian processes in JAX.
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- Issues
- bug: possible bug in handling kernels that are combinations of combinations
- bug: Default Parameter in PoweredExponential
- dev: Use kwargs only in dataclasses
- [RFC] Sklearn regression
- bug: gpx.Dataset used in the core fit API is invalid?
- feat: Pathwise sampling / Matheron's rule refactoring.
- dev: NumPyro integration notebook.
- feat: Default and overridable `solve` and `root` computation methods.
- docs: Fit models with standard for loop + notebook on training loops.
- docs: Add an explicit example for implementing a custom likelihood.
- Docs
- Python not yet supported