Releases: JuliaGaussianProcesses/AbstractGPs.jl
Releases · JuliaGaussianProcesses/AbstractGPs.jl
v0.2.9
AbstractGPs v0.2.9
Closed issues:
- Adding test for Turing.jl models. (#53)
- [Question] is
sampleplot()
doing what it is supposed to? (#57)
Merged pull requests:
- Replace
contains
withoccursin
(#58) (@devmotion)
v0.2.8
AbstractGPs v0.2.8
Merged pull requests:
v0.2.7
AbstractGPs v0.2.7
Merged pull requests:
v0.2.6
AbstractGPs v0.2.6
Closed issues:
Merged pull requests:
- Update README example (#48) (@niklasschmitz)
- CompatHelper: bump compat for "KernelFunctions" to "0.7" (#50) (@github-actions[bot])
v0.2.5
AbstractGPs v0.2.5
Closed issues:
- Documentation link for stable is broken (#31)
- Avoid re-computing distance for stationary models (#43)
Merged pull requests:
- Restructure docs and update readme (#32) (@sharanry)
- CompatHelper: bump compat for "Optim" to "0.22" for package docs (#33) (@github-actions[bot])
- Remove dependency on AbstractGPs (#35) (@devmotion)
- CompatHelper: bump compat for "KernelFunctions" to "0.5" for package docs (#38) (@github-actions[bot])
- Fix dependencies (#39) (@sharanry)
- Update versioning (#46) (@willtebbutt)
v0.2.4
v0.2.3
AbstractGPs v0.2.3
Closed issues:
- ZeroMean{Float64} is not callable (#14)
Merged pull requests:
- Resolves #14 (#16) (@willtebbutt)
v0.2.2
v0.2.1
v0.2.0
AbstractGPs v0.2.0
Closed issues:
- mean_and_cov_diag not defined for predictions with (#17)
Merged pull requests:
- Stop exporting mean_and_cov_diag (#18) (@willtebbutt)