view tests/pointset_test/plotLSHresults.m @ 458:913a95f06998 api-inversion

Start using the query state structure.

Actually using it means moving it around in the source code a little
bit, thanks to entanglements.  It'll all be alright on the night.  Now
the accumulator, allowed_keys and exact_evaluation_queue are all part of
the query state, and can therefore be passed around with minimal effort
(and deleted in the appropriate place).

Now a whole bunch of static methods (the callbacks, basically) in
index.cpp can be rewritten as plain old C functions.  The callbacks need
both an adb_t and a query state structure to function (the adb_t to get
at things like lsh_n_point_bits and the track->key table; the qstate to
get at the accumulator and allowed_keys list).

Rearrange audioDB::query a little bit, and mark the beginning and the
end of the putative audiodb_query_spec() API function implementation.

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'])