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This PR generalizes all expected_loglikelihood methods to also accept AbstractVectors, such that it can be used for input-dependent (e.g. heteroskedastic) likelihoods. See e.g. JuliaGaussianProcesses/AbstractGPs.jl#216

@simsurace simsurace added the enhancement New feature or request label Mar 10, 2024
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
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codecov bot commented Mar 10, 2024

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 96.85%. Comparing base (7e7ef5e) to head (27fda65).

Additional details and impacted files
@@            Coverage Diff             @@
##           master     #105      +/-   ##
==========================================
+ Coverage   96.45%   96.85%   +0.40%     
==========================================
  Files          11       11              
  Lines         141      159      +18     
==========================================
+ Hits          136      154      +18     
  Misses          5        5              

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@simsurace simsurace requested a review from theogf March 11, 2024 07:49
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