Added navbar and removed insert_navbar.sh

dev/api/index.html

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 <div id="documenter"><nav class="docs-sidebar"><div class="docs-package-name"><span class="docs-autofit"><a href="../">ApproximateGPs.jl</a></span></div><form class="docs-search" action="../search/"><input class="docs-search-query" id="documenter-search-query" name="q" type="text" placeholder="Search docs"/></form><ul class="docs-menu"><li><a class="tocitem" href="../">Home</a></li><li><a class="tocitem" href="../userguide/">User Guide</a></li><li><span class="tocitem">API</span><ul><li class="is-active"><a class="tocitem" href>ApproximateGPs API</a></li><li><a class="tocitem" href="sparsevariational/">Sparse Variational Approximation</a></li><li><a class="tocitem" href="laplace/">Laplace Approximation</a></li></ul></li><li><span class="tocitem">Examples</span><ul><li><a class="tocitem" href="../examples/a-regression/">Regression: Sparse Variational Gaussian Process for Stochastic Optimisation with Flux.jl</a></li><li><a class="tocitem" href="../examples/b-classification/">Classification: Sparse Variational Approximation for Non-Conjugate Likelihoods with Optim&#39;s L-BFGS</a></li><li><a class="tocitem" href="../examples/c-comparisons/">Binary Classification with Laplace approximation</a></li></ul></li></ul><div class="docs-version-selector field has-addons"><div class="control"><span class="docs-label button is-static is-size-7">Version</span></div><div class="docs-selector control is-expanded"><div class="select is-fullwidth is-size-7"><select id="documenter-version-selector"></select></div></div></div></nav><div class="docs-main"><header class="docs-navbar"><nav class="breadcrumb"><ul class="is-hidden-mobile"><li><a class="is-disabled">API</a></li><li class="is-active"><a href>ApproximateGPs API</a></li></ul><ul class="is-hidden-tablet"><li class="is-active"><a href>ApproximateGPs API</a></li></ul></nav><div class="docs-right"><a class="docs-edit-link" href="https://github.com/JuliaGaussianProcesses/ApproximateGPs.jl/blob/master/docs/src/api/index.md" title="Edit on GitHub"><span class="docs-icon fab"></span><span class="docs-label is-hidden-touch">Edit on GitHub</span></a><a class="docs-settings-button fas fa-cog" id="documenter-settings-button" href="#" title="Settings"></a><a class="docs-sidebar-button fa fa-bars is-hidden-desktop" id="documenter-sidebar-button" href="#"></a></div></header><article class="content" id="documenter-page"><h1 id="ApproximateGPs-API"><a class="docs-heading-anchor" href="#ApproximateGPs-API">ApproximateGPs API</a><a id="ApproximateGPs-API-1"></a><a class="docs-heading-anchor-permalink" href="#ApproximateGPs-API" title="Permalink"></a></h1><article class="docstring"><header><a class="docstring-binding" id="ApproximateGPs.API.approx_lml" href="#ApproximateGPs.API.approx_lml"><code>ApproximateGPs.API.approx_lml</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">approx_lml(approx::&lt;Approximation&gt;, lfx::LatentFiniteGP, ys)</code></pre><p>Compute an approximation to the log of the marginal likelihood (also known as &quot;evidence&quot;) under the given <code>approx</code> to the posterior. This approximation can be used to optimise the hyperparameters of <code>lfx</code>.</p><p>This should become part of the AbstractGPs API (see JuliaGaussianProcesses/AbstractGPs.jl#221).</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/JuliaGaussianProcesses/ApproximateGPs.jl/blob/97675b11fe2819063ebee7e5c1baf645b64188cb/src/API.jl#L5-L12">source</a></section></article></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../userguide/">« User Guide</a><a class="docs-footer-nextpage" href="sparsevariational/">Sparse Variational Approximation »</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 0.27.24 on <span class="colophon-date" title="Monday 8 May 2023 13:58">Monday 8 May 2023</span>. Using Julia version 1.6.7.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
 

dev/api/laplace/index.html

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+            <p class="ext-nav-link" id="library-handler">Libraries</p>
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                     <li class="ext-dropdown-item-heading">Modellinglanguages</li>
@@ -454,5 +454,6 @@
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 <div id="documenter"><nav class="docs-sidebar"><div class="docs-package-name"><span class="docs-autofit"><a href="../../">ApproximateGPs.jl</a></span></div><form class="docs-search" action="../../search/"><input class="docs-search-query" id="documenter-search-query" name="q" type="text" placeholder="Search docs"/></form><ul class="docs-menu"><li><a class="tocitem" href="../../">Home</a></li><li><a class="tocitem" href="../../userguide/">User Guide</a></li><li><span class="tocitem">API</span><ul><li><a class="tocitem" href="../">ApproximateGPs API</a></li><li><a class="tocitem" href="../sparsevariational/">Sparse Variational Approximation</a></li><li class="is-active"><a class="tocitem" href>Laplace Approximation</a></li></ul></li><li><span class="tocitem">Examples</span><ul><li><a class="tocitem" href="../../examples/a-regression/">Regression: Sparse Variational Gaussian Process for Stochastic Optimisation with Flux.jl</a></li><li><a class="tocitem" href="../../examples/b-classification/">Classification: Sparse Variational Approximation for Non-Conjugate Likelihoods with Optim&#39;s L-BFGS</a></li><li><a class="tocitem" href="../../examples/c-comparisons/">Binary Classification with Laplace approximation</a></li></ul></li></ul><div class="docs-version-selector field has-addons"><div class="control"><span class="docs-label button is-static is-size-7">Version</span></div><div class="docs-selector control is-expanded"><div class="select is-fullwidth is-size-7"><select id="documenter-version-selector"></select></div></div></div></nav><div class="docs-main"><header class="docs-navbar"><nav class="breadcrumb"><ul class="is-hidden-mobile"><li><a class="is-disabled">API</a></li><li class="is-active"><a href>Laplace Approximation</a></li></ul><ul class="is-hidden-tablet"><li class="is-active"><a href>Laplace Approximation</a></li></ul></nav><div class="docs-right"><a class="docs-edit-link" href="https://github.com/JuliaGaussianProcesses/ApproximateGPs.jl/blob/master/docs/src/api/laplace.md" title="Edit on GitHub"><span class="docs-icon fab"></span><span class="docs-label is-hidden-touch">Edit on GitHub</span></a><a class="docs-settings-button fas fa-cog" id="documenter-settings-button" href="#" title="Settings"></a><a class="docs-sidebar-button fa fa-bars is-hidden-desktop" id="documenter-sidebar-button" href="#"></a></div></header><article class="content" id="documenter-page"><h1 id="Laplace-Approximation"><a class="docs-heading-anchor" href="#Laplace-Approximation">Laplace Approximation</a><a id="Laplace-Approximation-1"></a><a class="docs-heading-anchor-permalink" href="#Laplace-Approximation" title="Permalink"></a></h1><article class="docstring"><header><a class="docstring-binding" id="ApproximateGPs.LaplaceApproximationModule.build_laplace_objective-Tuple{Any, Any, Any}" href="#ApproximateGPs.LaplaceApproximationModule.build_laplace_objective-Tuple{Any, Any, Any}"><code>ApproximateGPs.LaplaceApproximationModule.build_laplace_objective</code></a> — <span class="docstring-category">Method</span></header><section><div><pre><code class="language-julia hljs">build_laplace_objective(build_latent_gp, xs, ys; kwargs...)</code></pre><p>Construct a closure that computes the minimisation objective for optimising hyperparameters of the latent GP in the Laplace approximation. The returned closure passes its arguments to <code>build_latent_gp</code>, which must return the <code>LatentGP</code> prior.</p><p><strong>Keyword arguments</strong></p><ul><li><code>newton_warmstart=true</code>: (default) begin Newton optimisation at the mode of the previous call to the objective</li><li><code>newton_callback</code>: called as <code>newton_callback(fnew, cache)</code> after each Newton step</li><li><code>newton_maxiter=100</code>: maximum number of Newton steps.</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/JuliaGaussianProcesses/ApproximateGPs.jl/blob/97675b11fe2819063ebee7e5c1baf645b64188cb/src/LaplaceApproximationModule.jl#L62-L76">source</a></section></article></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../sparsevariational/">« Sparse Variational Approximation</a><a class="docs-footer-nextpage" href="../../examples/a-regression/">Regression: Sparse Variational Gaussian Process for Stochastic Optimisation with Flux.jl »</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 0.27.24 on <span class="colophon-date" title="Monday 8 May 2023 13:58">Monday 8 May 2023</span>. Using Julia version 1.6.7.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>