build based on 33f09ce

dev/.documenter-siteinfo.json

@@ -1 +1 @@
-{"documenter":{"julia_version":"1.10.5","generation_timestamp":"2024-09-13T02:28:30","documenter_version":"1.7.0"}}
+{"documenter":{"julia_version":"1.10.5","generation_timestamp":"2024-09-14T02:26:22","documenter_version":"1.7.0"}}

dev/index.html

@@ -588,4 +588,4 @@
  1.0e-5     0.333264  0.276992  0.215578  …  0.934272   1.0e-5   1.0e-5
  0.0728986  0.133901  0.151148  0.116068     0.0259248  1.0e-5   1.0e-5
  0.495104   0.532825  0.57185   0.142498     0.0397931  1.0e-5   1.0e-5
- 0.431987   1.0e-5    1.0e-5    0.525857     1.0e-5     0.99997  0.99997</code></pre><pre><code class="language-julia hljs">d.ll_new</code></pre><pre><code class="nohighlight hljs">-5.046319427299974e6</code></pre><h2 id="Multithreading"><a class="docs-heading-anchor" href="#Multithreading">Multithreading</a><a id="Multithreading-1"></a><a class="docs-heading-anchor-permalink" href="#Multithreading" title="Permalink"></a></h2><p>If you have multiple CPU cores available, it is recommended to launch Julia with multiple threads, for example, by using <code>-t</code> option from the terminal:</p><pre><code class="language-bash hljs">julia -t 8</code></pre><p>You may also set up a multithreaded Jupyter kernel following the instruction given <a href="https://github.com/JuliaLang/IJulia.jl/issues/882">here</a>. </p><h2 id="GPU-support"><a class="docs-heading-anchor" href="#GPU-support">GPU support</a><a id="GPU-support-1"></a><a class="docs-heading-anchor-permalink" href="#GPU-support" title="Permalink"></a></h2><p>GPU is enabled by setting the keyword argument <code>use_gpu</code> to <code>true</code>. The parts computing gradients and Hessians of the loglikelihood is moved to GPU.</p></article><nav class="docs-footer"><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="auto">Automatic (OS)</option><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="catppuccin-latte">catppuccin-latte</option><option value="catppuccin-frappe">catppuccin-frappe</option><option value="catppuccin-macchiato">catppuccin-macchiato</option><option value="catppuccin-mocha">catppuccin-mocha</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.7.0 on <span class="colophon-date" title="Friday 13 September 2024 02:28">Friday 13 September 2024</span>. Using Julia version 1.10.5.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+ 0.431987   1.0e-5    1.0e-5    0.525857     1.0e-5     0.99997  0.99997</code></pre><pre><code class="language-julia hljs">d.ll_new</code></pre><pre><code class="nohighlight hljs">-5.046319427299974e6</code></pre><h2 id="Multithreading"><a class="docs-heading-anchor" href="#Multithreading">Multithreading</a><a id="Multithreading-1"></a><a class="docs-heading-anchor-permalink" href="#Multithreading" title="Permalink"></a></h2><p>If you have multiple CPU cores available, it is recommended to launch Julia with multiple threads, for example, by using <code>-t</code> option from the terminal:</p><pre><code class="language-bash hljs">julia -t 8</code></pre><p>You may also set up a multithreaded Jupyter kernel following the instruction given <a href="https://github.com/JuliaLang/IJulia.jl/issues/882">here</a>. </p><h2 id="GPU-support"><a class="docs-heading-anchor" href="#GPU-support">GPU support</a><a id="GPU-support-1"></a><a class="docs-heading-anchor-permalink" href="#GPU-support" title="Permalink"></a></h2><p>GPU is enabled by setting the keyword argument <code>use_gpu</code> to <code>true</code>. The parts computing gradients and Hessians of the loglikelihood is moved to GPU.</p></article><nav class="docs-footer"><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="auto">Automatic (OS)</option><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="catppuccin-latte">catppuccin-latte</option><option value="catppuccin-frappe">catppuccin-frappe</option><option value="catppuccin-macchiato">catppuccin-macchiato</option><option value="catppuccin-mocha">catppuccin-mocha</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.7.0 on <span class="colophon-date" title="Saturday 14 September 2024 02:26">Saturday 14 September 2024</span>. Using Julia version 1.10.5.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>