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<h1>Module <a href="type_Gpr.Cov_se_iso.html">Gpr.Cov_se_iso</a></h1>
<pre><span class="keyword">module</span> Cov_se_iso: <code class="type"><a href="Gpr_cov_se_iso.html">Gpr_cov_se_iso</a></code></pre><hr width="100%">
<br>
The covariance is defined as:
<p>
<code class="code">k(x, y) = sf^2 * exp(-1/2 * |1/ell*(x-y)|^2)</code>
<p>
where <code class="code">sf^2</code> is the amplitude, and <code class="code">ell</code> is the length scale.<br>
<pre><span class="keyword">module</span> <a href="Gpr_cov_se_iso.Params.html">Params</a>: <code class="code">sig</code> <a href="Gpr_cov_se_iso.Params.html">..</a> <code class="code">end</code></pre>
<pre><code><span id="TYPEinducing_hyper"><span class="keyword">type</span> <code class="type"></code>inducing_hyper</span> = {</code></pre><table class="typetable">
<tr>
<td align="left" valign="top" >
<code> </code></td>
<td align="left" valign="top" >
<code><span id="TYPEELTinducing_hyper.ind">ind</span> : <code class="type">int</code>;</code></td>
</tr>
<tr>
<td align="left" valign="top" >
<code> </code></td>
<td align="left" valign="top" >
<code><span id="TYPEELTinducing_hyper.dim">dim</span> : <code class="type">int</code>;</code></td>
</tr></table>
}
<pre><span class="keyword">module</span> <a href="Gpr_cov_se_iso.Eval.html">Eval</a>: <code class="type">Eval</code><code class="type">
with type Kernel.params = Params.t</code><code class="type">
with type Inducing.t = mat</code><code class="type">
with type Input.t = vec</code><code class="type">
with type Inputs.t = mat</code></pre>
<pre><span class="keyword">module</span> <a href="Gpr_cov_se_iso.Deriv.html">Deriv</a>: <code class="type">Deriv</code><code class="type">
with module Eval = Eval</code><code class="type">
with type Hyper.t =
[ `Log_ell | `Log_sf2 | `Inducing_hyper of inducing_hyper ]</code></pre></body></html>
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