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typo fixes
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MarcusMNoack committed Oct 25, 2023
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -14,7 +14,7 @@ Python package for highly flexible function-valued Gaussian processes (fvGP)
Specialties: Extreme-Scale GPs, GPs Tailored for HPC training, Advanced Kernel Designs, Domain-Aware Stochastic Function Approximation
Coming soon: All those advancements for stochastic manifold learning

fvGP hold the world record for exact large-scale Gaussian Processes!
fvGP holds the world record for exact large-scale Gaussian Processes!
## Credits

This package uses the HGDL package of David Perryman and Marcus Noack, which
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2 changes: 1 addition & 1 deletion docs/source/api/overview.md
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fvGP is an API for flexible HPC single and multi-task Gaussian processes over Euclidean and non-Euclidean (strings, molecules, materials) spaces.

The [GP](GP.md) class is the core of most the functionality in fvGP
and therefore in [gpCAM](https://gpcam.readthedocs.io)
and therefore in [gpCAM](https://gpcam.readthedocs.io).

fvGP can use [HGDL](https://hgdl.readthedocs.io) optimization on supercomputers for advanced GP use cases.

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