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Currently runs in serial (through usual `MultiOutputGP` python class), since can't pickle GaussianProcessGPU for multiprocessing
Options to fix:
- ~Run each output GP serially (for the initial ver…
ots22 updated
3 years ago
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Hey, thanks for the package.
Though there is a bug(feature) in your code.
If you consider Parseval's theorem you can theoretically compute the variance of the generated GRF from its power spectrum…
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There's a culture in ML of authors making their textbooks available online (to supplement the traditional print editions), which is extremely beneficial to students & researchers. The following is a l…
ghost updated
5 years ago
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It would be nice to have table with TPOT vs sklearn operators.
AFAIK not all operators from sklearn are included in tpot. It could be used as:
- roadmap for tpot
- some dim reduction techniques (e.g.…
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Hi, I want to perform a Karhunen–Loève expansion of a cyclic field. Is it possible to do so with KarhunenLoeveP1Algorithm or KarhunenLoeveSVDAlgorithm?
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- [x] copy the data ab5a869
- [x] do sampling to see how many data will be needed to generate a reasonable force field 69032ff
- [ ] After we get a reasonable FF, try to run MD
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### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/24765
I opened this as a discussion, but it is probably more suited for an issue, as it may lead to a documentation fix.
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I came across a case where the implementation of the White kernel is wrong. The definition in GPflow states that the [matrix representation](https://github.com/GPflow/GPflow/blob/develop/gpflow/kernel…
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I am new to GPytorch and am trying to regress GP to some data which has fast varying and slow varying parts. As a result a single lengthscale cannot capture both. I was wondering if it is possible to …
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Currently, `MODEL_REGISTER` is a dictionary of emulators where all the emulators would be initialized when we call [`_get_models`](https://github.com/alan-turing-institute/autoemulate/blob/8607f205526…