Comments (4)
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maybe 1 for now(?) since if i'm not sure if this would be helpful for GPy
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yea, implementing it ourselves will be helpful for GPy, too as the built-in multiprocessing is crap
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one difficulty is that stuff needs to me pickleable for multiprocessing, so I'll need to add to the developer notes that for implementing this case, the train method cannot be part of the class.
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Related Issues (20)
- allow users to specify schedule for re-classification of all points
- implement gpflow support
- Streaming GPR HOT 1
- update links to published paper
- Generalize implementation of sampling strategies
- automate PyPi release
- Minimised objectives lead to mirrored palinstance.means HOT 4
- `smart_bounds` deprecated in new matplotib HOT 2
- make new conda release
- test prediction interval coverage and warn if this metric is bad HOT 2
- refactor to `/src` layout HOT 2
- Implement GPR tricks from HEBO HOT 2
- add tests for modeling assumptions HOT 1
- switch to using `main` as default branch HOT 1
- Ensemble of PAL classes
- implement `CatBoost` support HOT 1
- Add `tox` recipes for release etc.
- implement TabPFN as estimator
- `PALSklearn` pickling error
- Add Gauche support
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