Mercurial > hg > audiodb
view tests/pointset_test/plotLSHresults.m @ 410:d7e590d58c85 api-inversion
Pavlovian response to compiler warnings...
... attempt to squash them. For now we can get most of the way by
writing a simple write_or_goto_error() macro for write(), and the
equivalent for read().
One of the warnings, for the return value of chdir(), is silly, because
we're already in an error case, and we really can't do anything sensible
if the chdir fails. Try to deal with it anyway.
author | mas01cr |
---|---|
date | Thu, 11 Dec 2008 08:54:01 +0000 |
parents | 63ae0dfc1767 |
children | 397e94f6db44 |
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function plotLSHresults(filename, w, kk, useLog) if nargin<4, useLog=0;end if nargin<3, kk=1;end R = load(filename,'ascii'); % Assume 10 radii queries x 10 radii result summaries for k=1:10 RR(k,:)=mean(R(k:10:end,:))./100; % Convert to Probability end c=['r' 'g' 'b' 'c' 'm' 'y' 'k']; if(useLog) logSym=' Log_{10} '; else logSym=''; end figure subplot(211) hold on radii=[0.1 0.2 0.4 0.5 0.7 0.9 1 2 5 10]; for k=1:10 if(useLog) semilogx(radii, kk*log10(lshP(w,radii./radii(k))),[num2str(c(mod(k,length(c))+1)) '-+'],'lineWidth',2) else plot(radii,lshP(w,radii./radii(k)).^kk,[num2str(c(mod(k,length(c))+1)) '-+'],'lineWidth',2) end end if(useLog) axis([radii(1) radii(end) -kk 0]) else axis([0 10 0 1]) end grid on legend([{"r=.1"},{"r=.2"},{"r=.4"},{"r=.5"},{"r=.7"},{"r=.9"},{"r=1"},{"r=2"},{"r=5"},{"r=10"}]) title(['Estimated Probability for 10 LSH radii searches: w=' num2str(w) ' , k=' num2str(kk)]) xlabel('Radius') ylabel([logSym 'Probability']) subplot(212) hold on for k=1:10 if(useLog) semilogx(radii,kk*log(RR(k,:)),[num2str(c(mod(k,length(c))+1)) '-+'],'lineWidth',2) else plot(radii,RR(k,:).^kk,[num2str(c(mod(k,length(c))+1)) '-+'],'lineWidth',2) end end if(useLog) axis([radii(1) radii(end) -kk 0]) else axis([0 10 0 1]) endif grid on legend([{"r=.1"},{"r=.2"},{"r=.4"},{"r=.5"},{"r=.7"},{"r=.9"},{"r=1"},{"r=2"},{"r=5"},{"r=10"}]) title(['Observed Probability for 10 LSH radii searches: w=' num2str(w) ' , k=' num2str(kk)]) xlabel('Radius') ylabel([logSym 'Probability'])