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This is a feature request to implement T-process. Moving the discussion into the issue tracker to get more visibility.
### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/2894…
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### Reason/inspiration (optional)
We would like a new entry on the `Gaussian Processes` concept under Sklearn. The entry should go in a new file under `docs/content/sklearn/concepts/gaussian-processe…
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Explore how it performs against other algorithms, both in the sparse setting (using inducing points) and non-sparse and with gaussian and non-gaussian likelihoods
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## About the author
Hello, my name is Kalvik Jakkala,
I am a PhD candidate at the University of North Carolina at Charlotte. I am currently researching informative path planning (robotics), and I lo…
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Not a short-term priority, but could be nice to have some (limited) functionality for GPs in future iterations of the package.
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Is there any plan using Gaussian processes to do the continuum determination?
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Hola
Me estoy leyendo tu libro en inglés, pero ver que tienes estos notebooks en español ha sido una muy grata noticia. Me gustaría sugerir que añadiese la parte de Gaussian Processes
Un saludo y …
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Roadmap for GP track
- [ ] 0: design the GP regression (with fake data and theory)
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Implement warped gaussian processes as outlined in Ghahramani et. al