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| author | ziejd2 | 2017-09-28 15:04:40 -0500 |
|---|---|---|
| committer | ziejd2 | 2017-09-28 15:04:40 -0500 |
| commit | 8070dc963753142bb86c4ed698d91fd623ed28e7 (patch) | |
| tree | d0f6dd8fc46a49b819aa55c1a90faa14d8448883 /sourcecodes/bnt-master/nethelp3.3/glmunpak.htm | |
| parent | 7cc31810d53176e805532b2789955f4eedbce6bb (diff) | |
| download | BNW-8070dc963753142bb86c4ed698d91fd623ed28e7.tar.gz | |
BNW using Octave instead of Matlab.
This version of BNW should perform the same as the original version. The only difference is that it uses Octave instead of Matlab when running BayesNet Toolbox during parameter learning. I am calling this BNW_1.02. It can be accessed at: compbio.uthsc.edu/BNW_1.02
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diff --git a/sourcecodes/bnt-master/nethelp3.3/glmunpak.htm b/sourcecodes/bnt-master/nethelp3.3/glmunpak.htm new file mode 100644 index 00000000..73fd5054 --- /dev/null +++ b/sourcecodes/bnt-master/nethelp3.3/glmunpak.htm @@ -0,0 +1,43 @@ +<html> +<head> +<title> +Netlab Reference Manual glmunpak +</title> +</head> +<body> +<H1> glmunpak +</H1> +<h2> +Purpose +</h2> +Separates weights vector into weight and bias matrices. + +<p><h2> +Synopsis +</h2> +<PRE> +net = glmunpak(net, w) +</PRE> + + +<p><h2> +Description +</h2> +<CODE>net = glmunpak(net, w)</CODE> takes a glm network data structure <CODE>net</CODE> and +a weight vector <CODE>w</CODE>, and returns a network data structure identical to +the input network, except that the first-layer weight matrix +<CODE>w1</CODE> and the first-layer bias vector <CODE>b1</CODE> have +been set to the corresponding elements of <CODE>w</CODE>. + +<p><h2> +See Also +</h2> +<CODE><a href="glm.htm">glm</a></CODE>, <CODE><a href="glmpak.htm">glmpak</a></CODE>, <CODE><a href="glmfwd.htm">glmfwd</a></CODE>, <CODE><a href="glmerr.htm">glmerr</a></CODE>, <CODE><a href="glmgrad.htm">glmgrad</a></CODE><hr> +<b>Pages:</b> +<a href="index.htm">Index</a> +<hr> +<p>Copyright (c) Ian T Nabney (1996-9) + + +</body> +</html> \ No newline at end of file |