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| author | wolffd |
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| date | Tue, 10 Feb 2015 15:05:51 +0000 |
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| 1 <html> | |
| 2 <head> | |
| 3 <title> | |
| 4 Netlab Reference Manual fevbayes | |
| 5 </title> | |
| 6 </head> | |
| 7 <body> | |
| 8 <H1> fevbayes | |
| 9 </H1> | |
| 10 <h2> | |
| 11 Purpose | |
| 12 </h2> | |
| 13 Evaluate Bayesian regularisation for network forward propagation. | |
| 14 | |
| 15 <p><h2> | |
| 16 Synopsis | |
| 17 </h2> | |
| 18 <PRE> | |
| 19 extra = fevbayes(net, y, a, x, t, x_test) | |
| 20 [extra, invhess] = fevbayes(net, y, a, x, t, x_test, invhess) | |
| 21 </PRE> | |
| 22 | |
| 23 | |
| 24 <p><h2> | |
| 25 Description | |
| 26 </h2> | |
| 27 <CODE>extra = fevbayes(net, y, a, x, t, x_test)</CODE> takes a network data structure | |
| 28 <CODE>net</CODE> together with a set of hidden unit activations <CODE>a</CODE> from | |
| 29 test inputs <CODE>x_test</CODE>, training data inputs <CODE>x</CODE> and <CODE>t</CODE> and | |
| 30 outputs a matrix of extra information <CODE>extra</CODE> that consists of | |
| 31 error bars (variance) | |
| 32 for a regression problem or moderated outputs for a classification problem. | |
| 33 The optional argument (and return value) | |
| 34 <CODE>invhess</CODE> is the inverse of the network Hessian | |
| 35 computed on the training data inputs and targets. Passing it in avoids | |
| 36 recomputing it, which can be a significant saving for large training sets. | |
| 37 | |
| 38 <p>This is called by network-specific functions such as <CODE>mlpevfwd</CODE> which | |
| 39 are needed since the return values (predictions and hidden unit activations) | |
| 40 for different network types are in different orders (for good reasons). | |
| 41 | |
| 42 <p><h2> | |
| 43 See Also | |
| 44 </h2> | |
| 45 <CODE><a href="mlpevfwd.htm">mlpevfwd</a></CODE>, <CODE><a href="rbfevfwd.htm">rbfevfwd</a></CODE>, <CODE><a href="glmevfwd.htm">glmevfwd</a></CODE><hr> | |
| 46 <b>Pages:</b> | |
| 47 <a href="index.htm">Index</a> | |
| 48 <hr> | |
| 49 <p>Copyright (c) Ian T Nabney (1996-9) | |
| 50 | |
| 51 | |
| 52 </body> | |
| 53 </html> |