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first hg version after svn
author | wolffd |
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date | Tue, 10 Feb 2015 15:05:51 +0000 |
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wolffd@0 | 1 <html> |
wolffd@0 | 2 <head> |
wolffd@0 | 3 <title> |
wolffd@0 | 4 Netlab Reference Manual glmevfwd |
wolffd@0 | 5 </title> |
wolffd@0 | 6 </head> |
wolffd@0 | 7 <body> |
wolffd@0 | 8 <H1> glmevfwd |
wolffd@0 | 9 </H1> |
wolffd@0 | 10 <h2> |
wolffd@0 | 11 Purpose |
wolffd@0 | 12 </h2> |
wolffd@0 | 13 Forward propagation with evidence for GLM |
wolffd@0 | 14 |
wolffd@0 | 15 <p><h2> |
wolffd@0 | 16 Synopsis |
wolffd@0 | 17 </h2> |
wolffd@0 | 18 <PRE> |
wolffd@0 | 19 |
wolffd@0 | 20 [y, extra] = glmevfwd(net, x, t, x_test) |
wolffd@0 | 21 [y, extra, invhess] = glmevfwd(net, x, t, x_test, invhess) |
wolffd@0 | 22 </PRE> |
wolffd@0 | 23 |
wolffd@0 | 24 |
wolffd@0 | 25 <p><h2> |
wolffd@0 | 26 Description |
wolffd@0 | 27 </h2> |
wolffd@0 | 28 <CODE>y = glmevfwd(net, x, t, x_test)</CODE> takes a network data structure |
wolffd@0 | 29 <CODE>net</CODE> together with the input <CODE>x</CODE> and target <CODE>t</CODE> training data |
wolffd@0 | 30 and input test data <CODE>x_test</CODE>. |
wolffd@0 | 31 It returns the normal forward propagation through the network <CODE>y</CODE> |
wolffd@0 | 32 together with a matrix <CODE>extra</CODE> which consists of error bars (variance) |
wolffd@0 | 33 for a regression problem or moderated outputs for a classification problem. |
wolffd@0 | 34 |
wolffd@0 | 35 <p>The optional argument (and return value) |
wolffd@0 | 36 <CODE>invhess</CODE> is the inverse of the network Hessian |
wolffd@0 | 37 computed on the training data inputs and targets. Passing it in avoids |
wolffd@0 | 38 recomputing it, which can be a significant saving for large training sets. |
wolffd@0 | 39 |
wolffd@0 | 40 <p><h2> |
wolffd@0 | 41 See Also |
wolffd@0 | 42 </h2> |
wolffd@0 | 43 <CODE><a href="fevbayes.htm">fevbayes</a></CODE><hr> |
wolffd@0 | 44 <b>Pages:</b> |
wolffd@0 | 45 <a href="index.htm">Index</a> |
wolffd@0 | 46 <hr> |
wolffd@0 | 47 <p>Copyright (c) Ian T Nabney (1996-9) |
wolffd@0 | 48 |
wolffd@0 | 49 |
wolffd@0 | 50 </body> |
wolffd@0 | 51 </html> |