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<h1>Module <a href="type_Gpr_interfaces.Sigs.Deriv.Eval.html">Gpr_interfaces.Sigs.Deriv.Eval</a></h1>

<pre><span class="keyword">module</span> Eval: <code class="type"><a href="Gpr_interfaces.Sigs.Eval.html">Gpr_interfaces.Sigs.Eval</a></code><code class="type"> </code></pre><div class="info module top">
Sub-modules for learning without derivatives.<br>
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<pre><span class="keyword">module</span> <a href="Gpr_interfaces.Sigs.Eval.Spec.html">Spec</a>: <code class="type"><a href="Gpr_interfaces.Specs.Eval.html">Gpr_interfaces.Specs.Eval</a></code><code class="type"> </code></pre><div class="info">
Specification of covariance function
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<pre><span class="keyword">module</span> <a href="Gpr_interfaces.Sigs.Eval.Inducing.html">Inducing</a>: <code class="code">sig</code> <a href="Gpr_interfaces.Sigs.Eval.Inducing.html">..</a> <code class="code">end</code></pre><div class="info">
Evaluating inducing inputs
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<pre><span class="keyword">module</span> <a href="Gpr_interfaces.Sigs.Eval.Input.html">Input</a>: <code class="code">sig</code> <a href="Gpr_interfaces.Sigs.Eval.Input.html">..</a> <code class="code">end</code></pre><div class="info">
Evaluating single inputs
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<pre><span class="keyword">module</span> <a href="Gpr_interfaces.Sigs.Eval.Inputs.html">Inputs</a>: <code class="code">sig</code> <a href="Gpr_interfaces.Sigs.Eval.Inputs.html">..</a> <code class="code">end</code></pre><div class="info">
Evaluating (multiple) inputs
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<pre><span class="keyword">module</span> <a href="Gpr_interfaces.Sigs.Eval.Model.html">Model</a>: <code class="code">sig</code> <a href="Gpr_interfaces.Sigs.Eval.Model.html">..</a> <code class="code">end</code></pre><div class="info">
(Untrained) model - does not require targets
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<pre><span class="keyword">module</span> <a href="Gpr_interfaces.Sigs.Eval.Trained.html">Trained</a>: <code class="code">sig</code> <a href="Gpr_interfaces.Sigs.Eval.Trained.html">..</a> <code class="code">end</code></pre><div class="info">
Trained model - requires targets
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<pre><span class="keyword">module</span> <a href="Gpr_interfaces.Sigs.Eval.Stats.html">Stats</a>: <code class="code">sig</code> <a href="Gpr_interfaces.Sigs.Eval.Stats.html">..</a> <code class="code">end</code></pre><div class="info">
Statistics derived from trained models
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<pre><span class="keyword">module</span> <a href="Gpr_interfaces.Sigs.Eval.Mean_predictor.html">Mean_predictor</a>: <code class="code">sig</code> <a href="Gpr_interfaces.Sigs.Eval.Mean_predictor.html">..</a> <code class="code">end</code></pre><div class="info">
Module for making mean predictions
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<pre><span class="keyword">module</span> <a href="Gpr_interfaces.Sigs.Eval.Mean.html">Mean</a>: <code class="code">sig</code> <a href="Gpr_interfaces.Sigs.Eval.Mean.html">..</a> <code class="code">end</code></pre><div class="info">
Posterior mean for a single input
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<pre><span class="keyword">module</span> <a href="Gpr_interfaces.Sigs.Eval.Means.html">Means</a>: <code class="code">sig</code> <a href="Gpr_interfaces.Sigs.Eval.Means.html">..</a> <code class="code">end</code></pre><div class="info">
Posterior means for (multiple) inputs
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<pre><span class="keyword">module</span> <a href="Gpr_interfaces.Sigs.Eval.Co_variance_predictor.html">Co_variance_predictor</a>: <code class="code">sig</code> <a href="Gpr_interfaces.Sigs.Eval.Co_variance_predictor.html">..</a> <code class="code">end</code></pre><div class="info">
Module for making (co-)variance predictions
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<pre><span class="keyword">module</span> <a href="Gpr_interfaces.Sigs.Eval.Variance.html">Variance</a>: <code class="code">sig</code> <a href="Gpr_interfaces.Sigs.Eval.Variance.html">..</a> <code class="code">end</code></pre><div class="info">
Posterior variance for a single input
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<pre><span class="keyword">module</span> <a href="Gpr_interfaces.Sigs.Eval.Variances.html">Variances</a>: <code class="code">sig</code> <a href="Gpr_interfaces.Sigs.Eval.Variances.html">..</a> <code class="code">end</code></pre><div class="info">
Posterior variances for (multiple) inputs
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<pre><span class="keyword">module</span> <a href="Gpr_interfaces.Sigs.Eval.Covariances.html">Covariances</a>: <code class="code">sig</code> <a href="Gpr_interfaces.Sigs.Eval.Covariances.html">..</a> <code class="code">end</code></pre><div class="info">
Posterior covariances
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<pre><span class="keyword">module</span> <a href="Gpr_interfaces.Sigs.Eval.Sampler.html">Sampler</a>: <code class="code">sig</code> <a href="Gpr_interfaces.Sigs.Eval.Sampler.html">..</a> <code class="code">end</code></pre><div class="info">
Module for sampling single points from the posterior distribution
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<pre><span class="keyword">module</span> <a href="Gpr_interfaces.Sigs.Eval.Cov_sampler.html">Cov_sampler</a>: <code class="code">sig</code> <a href="Gpr_interfaces.Sigs.Eval.Cov_sampler.html">..</a> <code class="code">end</code></pre><div class="info">
Module for sampling (multiple) points from the posterior distribution
        accounting for their covariance
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