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changed ordert to 'by-source', worked on overview page
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MarcusMNoack committed Feb 18, 2022
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4 changes: 4 additions & 0 deletions docs/source/api/overview.md
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Expand Up @@ -9,3 +9,7 @@ fvGP can use [HGDL](https://hgdl.readthedocs.io) optimization on supercomputers

The [fvGP](fvGP.md) class is a multi-output GP framework
which inherits most of its functionality from the [GP](GP.md) base class.

In the near future, new training engines will be offered, even more specialized
to big-data and many-hyperparameter problems, allowing for ever-more powerful
GPs to be deployed by the users.
1 change: 1 addition & 0 deletions docs/source/conf.py
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# Configure execution (and output generation) of myst-nb files
jupyter_execute_notebooks = "auto"
autodoc_member_order = 'bysource'
5 changes: 3 additions & 2 deletions docs/source/index.md
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---
banner: _static/landing.png
banner_height: "40vh"
---

```{toctree}
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examples/single-task.ipynb
```

# fvGP - A Flexible multi-task GP engine
# fvGP - A Flexible Multi-Task GP Engine

## fvGP
Welcome to the documentation of the fvGP API.
fvGP is a next-generation Gaussian (and Gaussian-related) process engine for flexible, domain-informed and
HPC-ready stochastic function approximation. It is the backbone of the [gpCAM](https://gpcam.readthedocs.io) API.
The objective of fvGP is to take care of the mathematics behind GP training and predictions but allow the user to have
maximum flexibility in defining the GP.
maximum flexibility in defining the GP.

## See Also

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