view tests/pointset_test/plotLSHresults.m @ 381:9742ea0ac33d

API const correctness.

The char *path arguments to audiodb_open() and audiodb_create() should
be const; make it so.

Also arrange for the datasize, ntracks and datadim arguments to
audiodb_create() to be unsigned to match the fields in the internal
audioDB class.  Technically this is an ABI change, but since nothing is
calling this function with anything other than zero arguments yet
(correct me if I'm wrong) no-one should notice.  (If you notice, shout)

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'])