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authorziejd22018-03-14 23:23:33 -0500
committerGitHub2018-03-14 23:23:33 -0500
commit1ff6baa44e22b91eefb48aea6f3befa078c0489b (patch)
treee0fd79d2e32fd2aedda2eadaed0f19af3514c520 /sourcecodes/bnt-master/BNT/examples/static/Misc/mixexp_plot.m
parent6882395afdadf4e982b25b5215071a0932730950 (diff)
parentc80226899f5cdd9f11c163817d59445213f5bef0 (diff)
downloadBNW-1ff6baa44e22b91eefb48aea6f3befa078c0489b.tar.gz
Merge pull request #1 from ziejd2/octave_php_separate
Octave php separate
Diffstat (limited to 'sourcecodes/bnt-master/BNT/examples/static/Misc/mixexp_plot.m')
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diff --git a/sourcecodes/bnt-master/BNT/examples/static/Misc/mixexp_plot.m b/sourcecodes/bnt-master/BNT/examples/static/Misc/mixexp_plot.m
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+function plot_mixexp(theta, eta, data)
+% PLOT_MIXEXP  Plot the results for a piecewise linear regression model
+% plot_mixexp(theta, eta, data)
+% 
+% data(l,:) = [x y] for example l
+% theta(i,:) = regression vector for expert i
+% eta(i,:) = softmax (gating) params for expert i
+
+numexp = size(theta, 1);
+
+mn = min(data);
+mx = max(data);
+xa = mn(1):0.01:mx(1);
+x = [ones(length(xa),1) xa'];
+% pr(i,l) = posterior probability of expert i on example l
+pr = exp(eta * x');
+pr = pr ./ (ones(numexp,1) * sum(pr));
+% y(i,l) = prediction of expert i for example l
+y = theta * x';
+% yg(l) = weighted prediction  for example l
+yg = sum(y .* pr)';
+
+subplot(3,2,1);
+plot(xa, y(1,:));
+title('expert 1');
+
+subplot(3,2,2);
+plot(xa, y(2,:));
+title('expert 2');
+
+subplot(3,2,3);
+plot(xa, pr(1,:));
+title('gating 1');
+
+subplot(3,2,4);
+plot(xa, pr(2,:));
+title('gating 2');
+
+subplot(3,2,5);
+plot(xa, yg);
+axis([-1 1 -1 2])
+title('prediction');
+
+subplot(3,2,6);
+title('data');
+hold on
+plot(data(:,1), data(:,2), '+');
+hold off
+