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<html>
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<title>
Netlab Reference Manual gpunpak
</title>
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<body>
<H1> gpunpak
</H1>
<h2>
Purpose
</h2>
Separates hyperparameter vector into components.
<p><h2>
Synopsis
</h2>
<PRE>
net = gpunpak(net, hp)
</PRE>
<p><h2>
Description
</h2>
<CODE>net = gpunpak(net, hp)</CODE> takes an Gaussian Process data structure <CODE>net</CODE> and
a hyperparameter vector <CODE>hp</CODE>, and returns a Gaussian Process data structure
identical to
the input model, except that the covariance bias
<CODE>bias</CODE>, output noise <CODE>noise</CODE>, the input weight vector
<CODE>inweights</CODE> and the vector of covariance function specific parameters
<CODE>fpar</CODE> have all
been set to the corresponding elements of <CODE>hp</CODE>.
<p><h2>
See Also
</h2>
<CODE><a href="gp.htm">gp</a></CODE>, <CODE><a href="gppak.htm">gppak</a></CODE>, <CODE><a href="gpfwd.htm">gpfwd</a></CODE>, <CODE><a href="gperr.htm">gperr</a></CODE>, <CODE><a href="gpgrad.htm">gpgrad</a></CODE><hr>
<b>Pages:</b>
<a href="index.htm">Index</a>
<hr>
<p>Copyright (c) Ian T Nabney (1996-9)
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