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Netlab Reference Manual gpunpak
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<H1> gpunpak
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<h2>
Purpose
</h2>
Separates hyperparameter vector into components.

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Synopsis
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<PRE>
net = gpunpak(net, hp)
</PRE>


<p><h2>
Description
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<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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author	Daniel Wolff
date	Fri, 19 Aug 2016 13:07:06 +0200
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