build based on 35f2bf0

dev/.documenter-siteinfo.json

@@ -1 +1 @@
-{"documenter":{"julia_version":"1.9.4","generation_timestamp":"2023-11-22T07:29:08","documenter_version":"1.1.2"}}
+{"documenter":{"julia_version":"1.10.0","generation_timestamp":"2024-01-02T09:47:02","documenter_version":"1.1.2"}}

dev/index.html

@@ -16,4 +16,4 @@
 p_plugin = plot(la, X, ys; title="Plugin", link_approx=:plugin, clim=(0,1))
 p_untuned = plot(la_untuned, X, ys; title="LA - raw (λ=$(unique(diag(la_untuned.P₀))[1]))", clim=(0,1), zoom=zoom)
 p_laplace = plot(la, X, ys; title="LA - tuned (λ=$(round(unique(diag(la.P₀))[1],digits=2)))", clim=(0,1), zoom=zoom)
-plot(p_plugin, p_untuned, p_laplace, layout=(1,3), size=(1700,400))</code></pre><p><img src="index_files/figure-commonmark/cell-7-output-1.svg" alt/></p><h2 id="JuliaCon-2022"><a class="docs-heading-anchor" href="#JuliaCon-2022">📢 JuliaCon 2022</a><a id="JuliaCon-2022-1"></a><a class="docs-heading-anchor-permalink" href="#JuliaCon-2022" title="Permalink"></a></h2><p>This project was presented at JuliaCon 2022 in July 2022. See <a href="https://pretalx.com/juliacon-2022/talk/Z7MXFS/">here</a> for details.</p><h2 id="Contribute"><a class="docs-heading-anchor" href="#Contribute">🛠️ Contribute</a><a id="Contribute-1"></a><a class="docs-heading-anchor-permalink" href="#Contribute" title="Permalink"></a></h2><p>Contributions are very much welcome! Please follow the <a href="https://github.com/SciML/ColPrac">SciML ColPrac guide</a>. You may want to start by having a look at any open <a href="https://github.com/JuliaTrustworthyAI/LaplaceRedux.jl/issues">issues</a>.</p><h2 id="References"><a class="docs-heading-anchor" href="#References">🎓 References</a><a id="References-1"></a><a class="docs-heading-anchor-permalink" href="#References" title="Permalink"></a></h2><p>Daxberger, Erik, Agustinus Kristiadi, Alexander Immer, Runa Eschenhagen, Matthias Bauer, and Philipp Hennig. 2021. “Laplace Redux-Effortless Bayesian Deep Learning.” <em>Advances in Neural Information Processing Systems</em> 34.</p></article><nav class="docs-footer"><a class="docs-footer-nextpage" href="tutorials/logit/">Logistic 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><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.1.2 on <span class="colophon-date" title="Wednesday 22 November 2023 07:29">Wednesday 22 November 2023</span>. Using Julia version 1.9.4.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+plot(p_plugin, p_untuned, p_laplace, layout=(1,3), size=(1700,400))</code></pre><p><img src="index_files/figure-commonmark/cell-7-output-1.svg" alt/></p><h2 id="JuliaCon-2022"><a class="docs-heading-anchor" href="#JuliaCon-2022">📢 JuliaCon 2022</a><a id="JuliaCon-2022-1"></a><a class="docs-heading-anchor-permalink" href="#JuliaCon-2022" title="Permalink"></a></h2><p>This project was presented at JuliaCon 2022 in July 2022. See <a href="https://pretalx.com/juliacon-2022/talk/Z7MXFS/">here</a> for details.</p><h2 id="Contribute"><a class="docs-heading-anchor" href="#Contribute">🛠️ Contribute</a><a id="Contribute-1"></a><a class="docs-heading-anchor-permalink" href="#Contribute" title="Permalink"></a></h2><p>Contributions are very much welcome! Please follow the <a href="https://github.com/SciML/ColPrac">SciML ColPrac guide</a>. You may want to start by having a look at any open <a href="https://github.com/JuliaTrustworthyAI/LaplaceRedux.jl/issues">issues</a>.</p><h2 id="References"><a class="docs-heading-anchor" href="#References">🎓 References</a><a id="References-1"></a><a class="docs-heading-anchor-permalink" href="#References" title="Permalink"></a></h2><p>Daxberger, Erik, Agustinus Kristiadi, Alexander Immer, Runa Eschenhagen, Matthias Bauer, and Philipp Hennig. 2021. “Laplace Redux-Effortless Bayesian Deep Learning.” <em>Advances in Neural Information Processing Systems</em> 34.</p></article><nav class="docs-footer"><a class="docs-footer-nextpage" href="tutorials/logit/">Logistic 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><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.1.2 on <span class="colophon-date" title="Tuesday 2 January 2024 09:47">Tuesday 2 January 2024</span>. Using Julia version 1.10.0.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>

dev/resources/_resources/index.html

@@ -1,2 +1,2 @@
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