git-svn-id: https://pmtk3.googlecode.com/svn/trunk@2730 b6abd7f4-f95b-11de-aa3c-59de0406b4f5

projects/sceneContext/obsModelFit.m

@@ -5,14 +5,20 @@
 % There are several types of obs model.
 % - 'gauss': we fit a model to the features
 %   p(Y(i,j,:)|X(i,j)=k) = gauss(mu(:,j,k), Sigma(:,:,j,k)
+% - 'quantize': we discretize Y(i,j) and fit a model of the form
+%    p(Y(i,j)=b | X(i,j)=k) = T(j,k,b), sum_{b=1}^B = 1
+%    where B = num bins
 %  - 'localev':  Y(i,j,k) = p(X(i,j)=k|evidence)
 %   If Y is just 2d, we assume  Y(i,j) = p(X(i,j)=on|evidence) for binary X
 %
 % The purpose of the localev obstypes is if some external
 % process has already transformed the features into probabilities.
 % We still want to treat this data like any other feature,
 % so we can potentially recalibrate it.
-
+%
+% The model created by this can be used in 
+% localEvToSoftEvBatch
+
 % This file is from pmtk3.googlecode.com
 
 [Ncases Nnodes Ndims] = size(Y); %#ok
@@ -23,8 +29,15 @@
 model.Ndims = Ndims;
 model.Nnodes = Nnodes;
 switch obstype
-  case {'localev', 'localev1'}
+  case {'localev'}
    % no-op
+  case 'quantize'
+    if Ndims > 1
+      error('we currently only quantize 1d features')
+    end
+    model.Nbins = 10;
+    model.CPT = zeros(Nnodes, 
+    hist(scores(ndx,c))
   case 'gauss'
   [model.localCPDs, model.localCPDpointers, ...
     model.localMu, model.localSigma] = ...