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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 tothe 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 allbeen 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>⌨️ 快捷键说明
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