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ocaml-gpr-devel-1.2.1-2.mga6.x86_64.rpm

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<link title="Gpr_version" rel="Chapter" href="Gpr_version.html"><title>Gpr_fitc_gp.Make_deriv</title>
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<h1>Functor <a href="type_Gpr_fitc_gp.Make_deriv.html">Gpr_fitc_gp.Make_deriv</a></h1>

<pre><span class="keyword">module</span> Make_deriv: <div class="sig_block"><code class="code">functor (</code><code class="code">Spec</code><code class="code"> : </code><code class="type"><a href="Gpr_interfaces.Specs.Deriv.html">Gpr_interfaces.Specs.Deriv</a></code><code class="code">) -&gt; </code><code class="code">sig</code> <a href="Gpr_fitc_gp.Make_deriv.html">..</a> <code class="code">end</code></div></pre><table border="0" cellpadding="3" width="100%">
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<td align="left" valign="top" width="1%%"><b>Parameters: </b></td>
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<td align="center" valign="top" width="15%">
<code>Spec</code></td>
<td align="center" valign="top">:</td>
<td><code class="type"><a href="Gpr_interfaces.Specs.Deriv.html">Gpr_interfaces.Specs.Deriv</a></code>
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<pre><span class="keyword">module type</span> <a href="Gpr_fitc_gp.Make_deriv.Sig.html">Sig</a> = <code class="type">Sigs.Deriv</code><code class="type"> 
    with module Eval.Spec = Spec.Eval</code><code class="type"> 
    with module Deriv.Spec = Spec</code></pre>
<pre><span class="keyword">module</span> <a href="Gpr_fitc_gp.Make_deriv.FITC.html">FITC</a>: <code class="type"><a href="Gpr_fitc_gp.Make_deriv.Sig.html">Sig</a></code><code class="type"> </code></pre>
<pre><span class="keyword">module</span> <a href="Gpr_fitc_gp.Make_deriv.FIC.html">FIC</a>: <code class="type"><a href="Gpr_fitc_gp.Make_deriv.Sig.html">Sig</a></code><code class="type"> 
      with module Eval.Inducing = FITC.Eval.Inducing</code><code class="type"> 
      with module Eval.Input = FITC.Eval.Input</code><code class="type"> 
      with module Eval.Inputs = FITC.Eval.Inputs</code><code class="type"> 
      with module Eval.Model = FITC.Eval.Model</code><code class="type"> 
      with module Eval.Trained = FITC.Eval.Trained</code><code class="type"> 
      with module Eval.Mean_predictor = FITC.Eval.Mean_predictor</code><code class="type"> 
      with module Eval.Co_variance_predictor = FITC.Eval.Co_variance_predictor</code><code class="type"> 
      with module Eval.Mean = FITC.Eval.Mean</code><code class="type"> 
      with module Eval.Means = FITC.Eval.Means</code><code class="type"> 
      with module Eval.Variance = FITC.Eval.Variance</code><code class="type"> 
      with module Eval.Variances = FITC.Eval.Variances</code><code class="type"> 
      with module Eval.Sampler = FITC.Eval.Sampler</code><code class="type"> 

      with module Deriv.Inducing = FITC.Deriv.Inducing</code><code class="type"> 
      with module Deriv.Inputs = FITC.Deriv.Inputs</code><code class="type"> 
      with module Deriv.Model = FITC.Deriv.Model</code><code class="type"> 
      with module Deriv.Trained = FITC.Deriv.Trained</code></pre>
<pre><span class="keyword">module</span> <a href="Gpr_fitc_gp.Make_deriv.Variational_FITC.html">Variational_FITC</a>: <code class="type"><a href="Gpr_fitc_gp.Make_deriv.Sig.html">Sig</a></code><code class="type"> 
      with module Eval.Inducing = FITC.Eval.Inducing</code><code class="type"> 
      with module Eval.Input = FITC.Eval.Input</code><code class="type"> 
      with module Eval.Inputs = FITC.Eval.Inputs</code><code class="type"> 
      with module Deriv.Inducing = FITC.Deriv.Inducing</code><code class="type"> 
      with module Deriv.Inputs = FITC.Deriv.Inputs</code></pre>
<pre><span class="keyword">module</span> <a href="Gpr_fitc_gp.Make_deriv.Variational_FIC.html">Variational_FIC</a>: <code class="type"><a href="Gpr_fitc_gp.Make_deriv.Sig.html">Sig</a></code><code class="type"> 
      with module Eval.Inducing = Variational_FITC.Eval.Inducing</code><code class="type"> 
      with module Eval.Input = Variational_FITC.Eval.Input</code><code class="type"> 
      with module Eval.Inputs = Variational_FITC.Eval.Inputs</code><code class="type"> 
      with module Eval.Model = Variational_FITC.Eval.Model</code><code class="type"> 
      with module Eval.Trained = Variational_FITC.Eval.Trained</code><code class="type"> 
      with module Eval.Mean_predictor = Variational_FITC.Eval.Mean_predictor</code><code class="type"> 
      with module Eval.Co_variance_predictor =
        Variational_FITC.Eval.Co_variance_predictor</code><code class="type"> 
      with module Eval.Mean = Variational_FITC.Eval.Mean</code><code class="type"> 
      with module Eval.Means = Variational_FITC.Eval.Means</code><code class="type"> 
      with module Eval.Variance = Variational_FITC.Eval.Variance</code><code class="type"> 
      with module Eval.Variances = Variational_FITC.Eval.Variances</code><code class="type"> 
      with module Eval.Sampler = Variational_FITC.Eval.Sampler</code><code class="type"> 

      with module Deriv.Inducing = Variational_FITC.Deriv.Inducing</code><code class="type"> 
      with module Deriv.Inputs = Variational_FITC.Deriv.Inputs</code><code class="type"> 
      with module Deriv.Model = Variational_FITC.Deriv.Model</code><code class="type"> 
      with module Deriv.Trained = Variational_FITC.Deriv.Trained</code></pre></body></html>

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