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date | Tue, 10 Feb 2015 15:05:51 +0000 |
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<html> <head> <title> Netlab Reference Manual gpunpak </title> </head> <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) </body> </html>