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<h1>Module <a href="type_Gpr.Cov_const.html">Gpr.Cov_const</a></h1>
<pre><span class="keyword">module</span> Cov_const: <code class="type"><a href="Gpr_cov_const.html">Gpr_cov_const</a></code></pre><hr width="100%">
<br>
The covariance is defined as:
<p>
<code class="code">k(x, y) = 1/s^2</code>
<code class="code">logtheta = log(s)</code><br>
<pre><span class="keyword">module</span> <a href="Gpr_cov_const.Params.html">Params</a>: <code class="code">sig</code> <a href="Gpr_cov_const.Params.html">..</a> <code class="code">end</code></pre>
<pre><span class="keyword">module</span> <a href="Gpr_cov_const.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 = int</code><code class="type">
with type Input.t = unit</code><code class="type">
with type Inputs.t = int</code></pre>
<pre><span class="keyword">module</span> <a href="Gpr_cov_const.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_theta ]</code></pre></body></html>
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