Skip to content

Commit

Permalink
build based on b53d3cc
Browse files Browse the repository at this point in the history
  • Loading branch information
Documenter.jl committed Nov 6, 2023
1 parent 056372c commit 3c86c7c
Show file tree
Hide file tree
Showing 18 changed files with 20,589 additions and 20,542 deletions.
26 changes: 13 additions & 13 deletions previews/PR376/api/index.html

Large diffs are not rendered by default.

8 changes: 4 additions & 4 deletions previews/PR376/concrete_features/index.html
Original file line number Diff line number Diff line change
Expand Up @@ -18,9 +18,9 @@
plot!([plot, ]x::AbstractVector, f::FiniteGP; ribbon_scale=1, kwargs...)</code></pre><p>Plot the predictive mean for the projection <code>f</code> of a Gaussian process and a ribbon of <code>ribbon_scale</code> standard deviations around it versus <code>x</code>.</p><div class="admonition is-info"><header class="admonition-header">Note</header><div class="admonition-body"><p>Make sure to load <a href="https://github.com/JuliaPlots/Plots.jl">Plots.jl</a> before you use this function.</p></div></div><p><strong>Examples</strong></p><p>Plot the mean and a ribbon of 3 standard deviations:</p><pre><code class="language-julia hljs">using Plots

gp = GP(SqExponentialKernel())
plot(gp(rand(5)); ribbon_scale=3)</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/JuliaGaussianProcesses/AbstractGPs.jl/blob/9f87a3f8d84a3cd108d0c5621e38fa036757978c/src/util/plotting.jl#L18-L39">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="RecipesBase.plot-Tuple{AbstractGPs.FiniteGP}" href="#RecipesBase.plot-Tuple{AbstractGPs.FiniteGP}"><code>RecipesBase.plot</code></a><span class="docstring-category">Method</span></header><section><div><pre><code class="language-julia hljs">plot(f::FiniteGP; kwargs...)
plot!([plot, ]f::FiniteGP; kwargs...)</code></pre><p>Plot the predictive mean and a ribbon around it for the projection <code>f</code> of a Gaussian process versus <code>f.x</code>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/JuliaGaussianProcesses/AbstractGPs.jl/blob/9f87a3f8d84a3cd108d0c5621e38fa036757978c/src/util/plotting.jl#L48-L54">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="RecipesBase.plot-Tuple{AbstractVector, AbstractGPs.AbstractGP}" href="#RecipesBase.plot-Tuple{AbstractVector, AbstractGPs.AbstractGP}"><code>RecipesBase.plot</code></a><span class="docstring-category">Method</span></header><section><div><pre><code class="language-julia hljs">plot(x::AbstractVector, gp::AbstractGP; kwargs...)
plot!([plot, ]x::AbstractVector, gp::AbstractGP; kwargs...)</code></pre><p>Plot the predictive mean and a ribbon around it for the projection <code>gp(x)</code> of the Gaussian process <code>gp</code>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/JuliaGaussianProcesses/AbstractGPs.jl/blob/9f87a3f8d84a3cd108d0c5621e38fa036757978c/src/util/plotting.jl#L61-L67">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="AbstractGPs.sampleplot" href="#AbstractGPs.sampleplot"><code>AbstractGPs.sampleplot</code></a><span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">sampleplot([x::AbstractVector=f.x, ]f::FiniteGP; samples=1, kwargs...)</code></pre><p>Plot samples from the projection <code>f</code> of a Gaussian process versus <code>x</code>.</p><div class="admonition is-info"><header class="admonition-header">Note</header><div class="admonition-body"><p>Make sure to load <a href="https://github.com/JuliaPlots/Plots.jl">Plots.jl</a> before you use this function.</p></div></div><p>When plotting multiple samples, these are treated as a <em>single</em> series (i.e., only a single entry will be added to the legend when providing a <code>label</code>).</p><p><strong>Example</strong></p><pre><code class="language-julia hljs">using Plots
plot(gp(rand(5)); ribbon_scale=3)</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/JuliaGaussianProcesses/AbstractGPs.jl/blob/b53d3cc478b2ad15a19e632cb15c8dcdb802b962/src/util/plotting.jl#L18-L39">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="RecipesBase.plot-Tuple{AbstractGPs.FiniteGP}" href="#RecipesBase.plot-Tuple{AbstractGPs.FiniteGP}"><code>RecipesBase.plot</code></a><span class="docstring-category">Method</span></header><section><div><pre><code class="language-julia hljs">plot(f::FiniteGP; kwargs...)
plot!([plot, ]f::FiniteGP; kwargs...)</code></pre><p>Plot the predictive mean and a ribbon around it for the projection <code>f</code> of a Gaussian process versus <code>f.x</code>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/JuliaGaussianProcesses/AbstractGPs.jl/blob/b53d3cc478b2ad15a19e632cb15c8dcdb802b962/src/util/plotting.jl#L48-L54">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="RecipesBase.plot-Tuple{AbstractVector, AbstractGPs.AbstractGP}" href="#RecipesBase.plot-Tuple{AbstractVector, AbstractGPs.AbstractGP}"><code>RecipesBase.plot</code></a><span class="docstring-category">Method</span></header><section><div><pre><code class="language-julia hljs">plot(x::AbstractVector, gp::AbstractGP; kwargs...)
plot!([plot, ]x::AbstractVector, gp::AbstractGP; kwargs...)</code></pre><p>Plot the predictive mean and a ribbon around it for the projection <code>gp(x)</code> of the Gaussian process <code>gp</code>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/JuliaGaussianProcesses/AbstractGPs.jl/blob/b53d3cc478b2ad15a19e632cb15c8dcdb802b962/src/util/plotting.jl#L61-L67">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="AbstractGPs.sampleplot" href="#AbstractGPs.sampleplot"><code>AbstractGPs.sampleplot</code></a><span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">sampleplot([x::AbstractVector=f.x, ]f::FiniteGP; samples=1, kwargs...)</code></pre><p>Plot samples from the projection <code>f</code> of a Gaussian process versus <code>x</code>.</p><div class="admonition is-info"><header class="admonition-header">Note</header><div class="admonition-body"><p>Make sure to load <a href="https://github.com/JuliaPlots/Plots.jl">Plots.jl</a> before you use this function.</p></div></div><p>When plotting multiple samples, these are treated as a <em>single</em> series (i.e., only a single entry will be added to the legend when providing a <code>label</code>).</p><p><strong>Example</strong></p><pre><code class="language-julia hljs">using Plots

gp = GP(SqExponentialKernel())
sampleplot(gp(rand(5)); samples=10, linealpha=1.0)</code></pre><p>The given example plots 10 samples from the projection of the GP <code>gp</code>. The <code>linealpha</code> is modified from default of 0.35 to 1.</p><hr/><pre><code class="nohighlight hljs">sampleplot(x::AbstractVector, gp::AbstractGP; samples=1, kwargs...)</code></pre><p>Plot samples from the finite projection <code>gp(x, 1e-9)</code> versus <code>x</code>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/JuliaGaussianProcesses/AbstractGPs.jl/blob/9f87a3f8d84a3cd108d0c5621e38fa036757978c/src/util/plotting.jl#L76-L103">source</a></section></article><h3 id="Makie.jl"><a class="docs-heading-anchor" href="#Makie.jl">Makie.jl</a><a id="Makie.jl-1"></a><a class="docs-heading-anchor-permalink" href="#Makie.jl" title="Permalink"></a></h3><p>You can use the Julia package <a href="https://github.com/JuliaGaussianProcesses/AbstractGPsMakie.jl">AbstractGPsMakie.jl</a> to plot Gaussian processes with <a href="https://github.com/JuliaPlots/Makie.jl">Makie.jl</a>.</p><p><video src="https://juliagaussianprocesses.github.io/AbstractGPsMakie.jl/stable/posterior_animation.mp4" controls="true" title="posterior animation"><a href="https://juliagaussianprocesses.github.io/AbstractGPsMakie.jl/stable/posterior_animation.mp4">posterior animation</a></video></p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../api/">« The Main APIs</a><a class="docs-footer-nextpage" href="../examples/0-intro-1d/">Intro to AbstractGPs: one-dimensional regression »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 0.27.25 on <span class="colophon-date" title="Friday 3 November 2023 13:19">Friday 3 November 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
sampleplot(gp(rand(5)); samples=10, linealpha=1.0)</code></pre><p>The given example plots 10 samples from the projection of the GP <code>gp</code>. The <code>linealpha</code> is modified from default of 0.35 to 1.</p><hr/><pre><code class="nohighlight hljs">sampleplot(x::AbstractVector, gp::AbstractGP; samples=1, kwargs...)</code></pre><p>Plot samples from the finite projection <code>gp(x, 1e-9)</code> versus <code>x</code>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/JuliaGaussianProcesses/AbstractGPs.jl/blob/b53d3cc478b2ad15a19e632cb15c8dcdb802b962/src/util/plotting.jl#L76-L103">source</a></section></article><h3 id="Makie.jl"><a class="docs-heading-anchor" href="#Makie.jl">Makie.jl</a><a id="Makie.jl-1"></a><a class="docs-heading-anchor-permalink" href="#Makie.jl" title="Permalink"></a></h3><p>You can use the Julia package <a href="https://github.com/JuliaGaussianProcesses/AbstractGPsMakie.jl">AbstractGPsMakie.jl</a> to plot Gaussian processes with <a href="https://github.com/JuliaPlots/Makie.jl">Makie.jl</a>.</p><p><video src="https://juliagaussianprocesses.github.io/AbstractGPsMakie.jl/stable/posterior_animation.mp4" controls="true" title="posterior animation"><a href="https://juliagaussianprocesses.github.io/AbstractGPsMakie.jl/stable/posterior_animation.mp4">posterior animation</a></video></p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../api/">« The Main APIs</a><a class="docs-footer-nextpage" href="../examples/0-intro-1d/">Intro to AbstractGPs: one-dimensional regression »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 0.27.25 on <span class="colophon-date" title="Monday 6 November 2023 12:42">Monday 6 November 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
40 changes: 21 additions & 19 deletions previews/PR376/examples/0-intro-1d/Manifest.toml
Original file line number Diff line number Diff line change
Expand Up @@ -2,12 +2,12 @@

julia_version = "1.9.3"
manifest_format = "2.0"
project_hash = "4f5eff1672c35b018d0317ad345acdb9689f765c"
project_hash = "f2a4e287233f560750b3481c1f2594a5673c5bf1"

[[deps.AbstractGPs]]
deps = ["ChainRulesCore", "Distributions", "FillArrays", "IrrationalConstants", "KernelFunctions", "LinearAlgebra", "PDMats", "Random", "RecipesBase", "Reexport", "Statistics", "StatsBase", "Test"]
git-tree-sha1 = "31276845e6c2ae6c8bf0e7fcb0773022ebba9326"
repo-rev = "9f87a3f8d84a3cd108d0c5621e38fa036757978c"
git-tree-sha1 = "4eeaa3d21e3645429a247eb7e8b5d73c72e33d01"
repo-rev = "b53d3cc478b2ad15a19e632cb15c8dcdb802b962"
repo-url = "/home/runner/work/AbstractGPs.jl/AbstractGPs.jl"
uuid = "99985d1d-32ba-4be9-9821-2ec096f28918"
version = "0.5.19"
Expand Down Expand Up @@ -35,9 +35,9 @@ weakdeps = ["StaticArrays"]

[[deps.AdvancedHMC]]
deps = ["AbstractMCMC", "ArgCheck", "DocStringExtensions", "InplaceOps", "LinearAlgebra", "LogDensityProblems", "LogDensityProblemsAD", "ProgressMeter", "Random", "Requires", "Setfield", "SimpleUnPack", "Statistics", "StatsBase", "StatsFuns"]
git-tree-sha1 = "acbe805c3078ba0057bb56985248bd66bce016b1"
git-tree-sha1 = "71b2d41cecfdb267e7876542e4bad3e7e2b43b08"
uuid = "0bf59076-c3b1-5ca4-86bd-e02cd72cde3d"
version = "0.5.5"
version = "0.6.0"

[deps.AdvancedHMC.extensions]
AdvancedHMCCUDAExt = "CUDA"
Expand Down Expand Up @@ -300,18 +300,20 @@ deps = ["Random", "Serialization", "Sockets"]
uuid = "8ba89e20-285c-5b6f-9357-94700520ee1b"

[[deps.Distributions]]
deps = ["FillArrays", "LinearAlgebra", "PDMats", "Printf", "QuadGK", "Random", "SpecialFunctions", "Statistics", "StatsAPI", "StatsBase", "StatsFuns", "Test"]
git-tree-sha1 = "3d5873f811f582873bb9871fc9c451784d5dc8c7"
deps = ["FillArrays", "LinearAlgebra", "PDMats", "Printf", "QuadGK", "Random", "SpecialFunctions", "Statistics", "StatsAPI", "StatsBase", "StatsFuns"]
git-tree-sha1 = "a6c00f894f24460379cb7136633cef54ac9f6f4a"
uuid = "31c24e10-a181-5473-b8eb-7969acd0382f"
version = "0.25.102"
version = "0.25.103"

[deps.Distributions.extensions]
DistributionsChainRulesCoreExt = "ChainRulesCore"
DistributionsDensityInterfaceExt = "DensityInterface"
DistributionsTestExt = "Test"

[deps.Distributions.weakdeps]
ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
DensityInterface = "b429d917-457f-4dbc-8f4c-0cc954292b1d"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

[[deps.DocStringExtensions]]
deps = ["LibGit2"]
Expand Down Expand Up @@ -367,10 +369,10 @@ uuid = "c87230d0-a227-11e9-1b43-d7ebe4e7570a"
version = "0.4.1"

[[deps.FFMPEG_jll]]
deps = ["Artifacts", "Bzip2_jll", "FreeType2_jll", "FriBidi_jll", "JLLWrappers", "LAME_jll", "Libdl", "Ogg_jll", "OpenSSL_jll", "Opus_jll", "PCRE2_jll", "Pkg", "Zlib_jll", "libaom_jll", "libass_jll", "libfdk_aac_jll", "libvorbis_jll", "x264_jll", "x265_jll"]
git-tree-sha1 = "74faea50c1d007c85837327f6775bea60b5492dd"
deps = ["Artifacts", "Bzip2_jll", "FreeType2_jll", "FriBidi_jll", "JLLWrappers", "LAME_jll", "Libdl", "Ogg_jll", "OpenSSL_jll", "Opus_jll", "PCRE2_jll", "Zlib_jll", "libaom_jll", "libass_jll", "libfdk_aac_jll", "libvorbis_jll", "x264_jll", "x265_jll"]
git-tree-sha1 = "466d45dc38e15794ec7d5d63ec03d776a9aff36e"
uuid = "b22a6f82-2f65-5046-a5b2-351ab43fb4e5"
version = "4.4.2+2"
version = "4.4.4+1"

[[deps.FileWatching]]
uuid = "7b1f6079-737a-58dc-b8bc-7a2ca5c1b5ee"
Expand Down Expand Up @@ -861,9 +863,9 @@ version = "1.4.1"

[[deps.OpenSSL_jll]]
deps = ["Artifacts", "JLLWrappers", "Libdl"]
git-tree-sha1 = "a12e56c72edee3ce6b96667745e6cbbe5498f200"
git-tree-sha1 = "cc6e1927ac521b659af340e0ca45828a3ffc748f"
uuid = "458c3c95-2e84-50aa-8efc-19380b2a3a95"
version = "1.1.23+0"
version = "3.0.12+0"

[[deps.OpenSpecFun_jll]]
deps = ["Artifacts", "CompilerSupportLibraries_jll", "JLLWrappers", "Libdl", "Pkg"]
Expand Down Expand Up @@ -995,9 +997,9 @@ version = "1.9.0"

[[deps.Qt6Base_jll]]
deps = ["Artifacts", "CompilerSupportLibraries_jll", "Fontconfig_jll", "Glib_jll", "JLLWrappers", "Libdl", "Libglvnd_jll", "OpenSSL_jll", "Vulkan_Loader_jll", "Xorg_libSM_jll", "Xorg_libXext_jll", "Xorg_libXrender_jll", "Xorg_libxcb_jll", "Xorg_xcb_util_cursor_jll", "Xorg_xcb_util_image_jll", "Xorg_xcb_util_keysyms_jll", "Xorg_xcb_util_renderutil_jll", "Xorg_xcb_util_wm_jll", "Zlib_jll", "libinput_jll", "xkbcommon_jll"]
git-tree-sha1 = "7c29f0e8c575428bd84dc3c72ece5178caa67336"
git-tree-sha1 = "37b7bb7aabf9a085e0044307e1717436117f2b3b"
uuid = "c0090381-4147-56d7-9ebc-da0b1113ec56"
version = "6.5.2+2"
version = "6.5.3+1"

[[deps.QuadGK]]
deps = ["DataStructures", "LinearAlgebra"]
Expand Down Expand Up @@ -1224,19 +1226,19 @@ deps = ["InteractiveUtils", "Logging", "Random", "Serialization"]
uuid = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

[[deps.TranscodingStreams]]
git-tree-sha1 = "49cbf7c74fafaed4c529d47d48c8f7da6a19eb75"
git-tree-sha1 = "1fbeaaca45801b4ba17c251dd8603ef24801dd84"
uuid = "3bb67fe8-82b1-5028-8e26-92a6c54297fa"
version = "0.10.1"
version = "0.10.2"
weakdeps = ["Random", "Test"]

[deps.TranscodingStreams.extensions]
TestExt = ["Test", "Random"]

[[deps.Transducers]]
deps = ["Adapt", "ArgCheck", "BangBang", "Baselet", "CompositionsBase", "ConstructionBase", "DefineSingletons", "Distributed", "InitialValues", "Logging", "Markdown", "MicroCollections", "Requires", "Setfield", "SplittablesBase", "Tables"]
git-tree-sha1 = "53bd5978b182fa7c57577bdb452c35e5b4fb73a5"
git-tree-sha1 = "e579d3c991938fecbb225699e8f611fa3fbf2141"
uuid = "28d57a85-8fef-5791-bfe6-a80928e7c999"
version = "0.4.78"
version = "0.4.79"

[deps.Transducers.extensions]
TransducersBlockArraysExt = "BlockArrays"
Expand Down
Loading

0 comments on commit 3c86c7c

Please sign in to comment.