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            m ~ Normal()
            x ~ Normal(m, 0.5)

dev/api/Optimisation/index.html

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     m::ModeResult,
     fallback::Union{AbstractInitStrategy,Nothing}=InitFromPrior()

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         \frac{m_k}{n-1+\alpha}, \text{if} m_k &gt; 0\\
         \frac{\alpha}{n-1+\alpha}

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If the VI process was run in unconstrained space, this LogDensityFunction will also be in unconstrained space.</li><li><code>q</code>: Output variational distribution of <code>algorithm</code>. Note that, as above, this will typically also be in unconstrained space.</li><li><code>state</code>: Collection of states used by <code>algorithm</code>. This can be used to resume from a past call to <code>vi</code>.</li><li><code>info</code>: Information generated while executing <code>algorithm</code>.</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/TuringLang/Turing.jl/blob/00e8f1df90589e4ef8ac9861a6ebb5c1ed0b521f/src/variational/Variational.jl#L276-L287">source</a></section></details></article><article><details class="docstring" open="true"><summary id="Base.rand-Tuple{Random.AbstractRNG, Turing.Variational.VIResult, Vararg{Integer}}"><a class="docstring-binding" href="#Base.rand-Tuple{Random.AbstractRNG, Turing.Variational.VIResult, Vararg{Integer}}"><code>Base.rand</code></a> — <span class="docstring-category">Method</span></summary><section><div><pre><code class="language-julia hljs">Base.rand(rng::Random.AbstractRNG, res::VIResult, sz...)</code></pre><p>Draw a sample, or array of samples, from the variational distribution <code>q</code> in <code>res</code>. Each sample is a <a href="https://turinglang.org/DynamicPPL.jl/stable/api/#DynamicPPL.VarNamedTuples.VarNamedTuple"><code>DynamicPPL.VarNamedTuple</code></a> containing raw parameter values.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/TuringLang/Turing.jl/blob/00e8f1df90589e4ef8ac9861a6ebb5c1ed0b521f/src/variational/Variational.jl#L312-L318">source</a></section></details></article><article><details class="docstring" open="true"><summary id="Turing.Variational.q_fullrank_gaussian-Tuple{Random.AbstractRNG, LogDensityFunction}"><a class="docstring-binding" href="#Turing.Variational.q_fullrank_gaussian-Tuple{Random.AbstractRNG, LogDensityFunction}"><code>Turing.Variational.q_fullrank_gaussian</code></a> — <span class="docstring-category">Method</span></summary><section><div><pre><code class="language-julia hljs">q_fullrank_gaussian(
     [rng::Random.AbstractRNG,]
     ldf::DynamicPPL.LogDensityFunction;

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 @model function my_model() end