Mercurial > hg > camir-aes2014
comparison toolboxes/FullBNT-1.0.7/bnt/examples/static/HME/hme_reg_plot.m @ 0:e9a9cd732c1e tip
first hg version after svn
author | wolffd |
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date | Tue, 10 Feb 2015 15:05:51 +0000 |
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-1:000000000000 | 0:e9a9cd732c1e |
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1 function fh=hme_reg_plot(net, nodes_info, train_data, test_data) | |
2 % | |
3 % Use this function ONLY when the input dimension is 1 | |
4 % and the problem is a regression one. | |
5 % We assume that each row of 'train_data' & 'test_data' is an example. | |
6 % | |
7 % ---------------------------------------------------------------------------------------------------- | |
8 % -> pierpaolo_b@hotmail.com or -> pampo@interfree.it | |
9 % ---------------------------------------------------------------------------------------------------- | |
10 | |
11 fh=figure('Name','HME based regression', 'MenuBar', 'none', 'NumberTitle', 'off'); | |
12 | |
13 mn_x_train = round(min(train_data(:,1))); | |
14 mx_x_train = round(max(train_data(:,1))); | |
15 x_train = mn_x_train(1):0.01:mx_x_train(1); | |
16 Z_train=fhme(net, nodes_info, x_train',size(x_train,2)); % forward propagation trougth the HME | |
17 | |
18 if nargin==4, | |
19 subplot(2,1,1); | |
20 mn_x_test = round(min(test_data(:,1))); | |
21 mx_x_test = round(max(test_data(:,1))); | |
22 x_test = mn_x_test(1):0.01:mx_x_test(1); | |
23 Z_test=fhme(net, nodes_info, x_test',size(x_test,2)); % forward propagation trougth the HME | |
24 end | |
25 | |
26 hold on; | |
27 set(gca, 'Box', 'on'); | |
28 plot(x_train', Z_train, 'r'); | |
29 plot(train_data(:,1),train_data(:,2),'+k'); | |
30 title('Training set and prediction'); | |
31 hold off | |
32 | |
33 if nargin==4, | |
34 subplot(2,1,2); | |
35 hold on; | |
36 set(gca, 'Box', 'on'); | |
37 plot(x_train', Z_train, 'r'); | |
38 if size(test_data,2)==2, | |
39 plot(test_data(:,1),test_data(:,2),'+k'); | |
40 end | |
41 title('Test set and prediction'); | |
42 hold off | |
43 end |