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Support for non-zero prior mean #89

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st-- opened this issue Jan 11, 2022 · 1 comment
Open
1 of 3 tasks

Support for non-zero prior mean #89

st-- opened this issue Jan 11, 2022 · 1 comment
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help wanted Extra attention is needed missing tests Issue about tests which need to be implemented

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@st--
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st-- commented Jan 11, 2022

We currently don't have any tests that a non-zero prior mean actually works.

  • SparseVariationalApproximation: supported (with a bug fixed in SparseVariationalApproximation cleanup #86)
  • LaplaceApproximation: might or might not require extra work, need to investigate (currently throws error)
  • ExpectationPropagation: might or might not require extra work, need to investigate (currently throws error)
@theogf theogf added help wanted Extra attention is needed missing tests Issue about tests which need to be implemented labels Apr 27, 2022
@hmray2025
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hmray2025 commented Aug 2, 2024

I'm trying to fit a GP using the LA and think a non-zero mean function may be helpful. Is this an issue I could help address? I would posit that three different tests are needed:

  1. Training with non-zero mean, both linear and perhaps more complex?
  2. Prediction can be made and output shapes are consistent.
  3. Prediction values align with a set of test points.

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Labels
help wanted Extra attention is needed missing tests Issue about tests which need to be implemented
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