gpytorch
https://github.com/cornellius-gp/gpytorch
Python
A highly efficient implementation of Gaussian Processes in PyTorch
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- Issues
- Fix batched kernel diagonal evaluation
- [Bug] diag=True drops batch entries when batch size equals point count
- [Bug] register_constraint(replace=False) rejects compatible Interval constraints
- [Bug] Kernel.__getitem__ with more indices than batch dimensions silently indexes the parameters' non-batch dimensions
- Raise an IndexError when indexing too many batch dimensions of a kernel
- Broadcast shared inputs across derivative GP parameter batches
- Honor Dirichlet concentration when evaluating supplied targets
- Forward error_tol in gpytorch.pivoted_cholesky
- Sum a batched lazy kernel along the requested batch axis
- Non-interleaved multitask log_prob uses the wrong event-coordinate order
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