Move files to gp folder in repo and fix up tags.

SheffieldML · May 28, 2015 · f8f415b · f8f415b
1 parent 7e65db6
commit f8f415b
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Showing 71 changed files with 103 additions and 103 deletions.
diff --git a/demGpCov2D.m → gp/demGpCov2D.m b/demGpCov2D.m → gp/demGpCov2D.m
@@ -13,7 +13,7 @@ function demGpCov2D(ind,bw)
 % SEEALSO : demCovFuncSample, demGPSample
 % COPYRIGHT : Neil D. Lawrence, 2006, 2008
 
-% GPMAT
+% GP
 
 if nargin < 2
   bw = false;
@@ -122,4 +122,4 @@ function demGpCov2D(ind,bw)
 
 zeroAxes(gca, 0.025, 18, 'times')
 
-ax = gca;
+ax = gca;
diff --git a/demGpCovFuncSample.m → gp/demGpCovFuncSample.m b/demGpCovFuncSample.m → gp/demGpCovFuncSample.m
@@ -9,7 +9,7 @@
 %
 % SEEALSO : kernCreate
 
-% GPMAT
+% GP
 
   global printDiagram
   randn('seed', 1e5)
@@ -120,4 +120,4 @@ function prepPlot(a)
   if printDiagram
     printPlot(['demGpCovFuncSample' num2str(fig)], '../tex/diagrams', '../html');
   end
-end
+end
diff --git a/demGpSample.m → gp/demGpSample.m b/demGpSample.m → gp/demGpSample.m
@@ -1,6 +1,6 @@
 % DEMGPSAMPLE Simple demonstration of sampling from a covariance function.
 
-% GPMAT
+% GP
 
 randn('seed', 1e5)
 rand('seed', 1e5)
@@ -54,4 +54,4 @@
 %   print('-depsc', '../tex/diagrams/gpSample.eps');
 % end
 
-save demGpSample K x f
+save demGpSample K x f
diff --git a/demGpTwoSample.m → gp/demGpTwoSample.m b/demGpTwoSample.m → gp/demGpTwoSample.m
@@ -1,6 +1,6 @@
 % DEMGPTWOSAMPLE Test GP two sample code.
 
-% GPMAT
+% GP
 
 % Generate artificial data. 
 numSamps = 3;
@@ -18,4 +18,4 @@
 y{1} = yTrue(:, 1:5)';
 y{2} = yTrue(:, 6:10)';
 
-llr = gpTwoSample(t, y);
+llr = gpTwoSample(t, y);
diff --git a/demGpTwoSampleEB.m → gp/demGpTwoSampleEB.m b/demGpTwoSampleEB.m → gp/demGpTwoSampleEB.m
@@ -1,6 +1,6 @@
 % DEMGPTWOSAMPLEEB Run GP two sample code on EB.
 
-% GPMAT
+% GP
 
 % Load data
 load EB

diff --git a/demGpTwoSampleLif.m → gp/demGpTwoSampleLif.m b/demGpTwoSampleLif.m → gp/demGpTwoSampleLif.m
@@ -1,6 +1,6 @@
 % DEMGPTWOSAMPLELIF Run GP two sample code on LIF.
 
-% GPMAT
+% GP
 
 % Load data
 load LIF
@@ -16,4 +16,4 @@
   fprintf([num2str(llr(i), 4) '\t' genes_vect{1, i} '\n'])
 end
 
-save LIFresults.mat llr models 
+save LIFresults.mat llr models 
diff --git a/demGpTwoSampleLifsh.m → gp/demGpTwoSampleLifsh.m b/demGpTwoSampleLifsh.m → gp/demGpTwoSampleLifsh.m
@@ -1,6 +1,6 @@
 % DEMGPTWOSAMPLELIFSH Run GP two sample code on LifSh.
 
-% GPMAT
+% GP
 
 % Load data
 load shLIF

diff --git a/demInterpolationGp.m → gp/demInterpolationGp.m b/demInterpolationGp.m → gp/demInterpolationGp.m
@@ -6,7 +6,7 @@
 % 
 % COPYRIGHT : Neil D. Lawrence, 2006, 2008
 
-% GPMAT
+% GP
 
 randn('seed', 1e6)
 rand('seed', 1e6)
@@ -97,4 +97,4 @@
     end
     figNo = figNo + 1;
   end
-end
+end
diff --git a/demOptimiseGp.m → gp/demOptimiseGp.m b/demOptimiseGp.m → gp/demOptimiseGp.m
@@ -5,7 +5,7 @@
 
 % COPYRIGHT : Neil D. Lawrence, 2006, 2008
 
-% GPMAT
+% GP
 
 randn('seed', 1e5);
 rand('seed', 1e5);

diff --git a/demOptimiseGpTutorial.m → gp/demOptimiseGpTutorial.m b/demOptimiseGpTutorial.m → gp/demOptimiseGpTutorial.m
@@ -5,7 +5,7 @@
 
 % COPYRIGHT : Neil D. Lawrence, 2006, 2008
 
-% GPMAT
+% GP
 
 randn('seed', 1e5);
 rand('seed', 1e5);

diff --git a/demRegressionGp.m → gp/demRegressionGp.m b/demRegressionGp.m → gp/demRegressionGp.m
@@ -6,7 +6,7 @@
 % 
 % COPYRIGHT : Neil D. Lawrence, 2006
 
-% GPMAT
+% GP
 
 randn('seed', 1e7)
 rand('seed', 1e7)
@@ -115,4 +115,4 @@
     end
     figNo = figNo + 1;
   end
-end
+end
diff --git a/demRegressionSimple.m → gp/demRegressionSimple.m b/demRegressionSimple.m → gp/demRegressionSimple.m
diff --git a/demSilhouetteAverage.m → gp/demSilhouetteAverage.m b/demSilhouetteAverage.m → gp/demSilhouetteAverage.m
@@ -7,7 +7,7 @@
 % 
 % COPYRIGHT : Neil D. Lawrence, 2008
 
-% GPMAT
+% GP
 
 randn('seed', 1e7)
 rand('seed', 1e7)

diff --git a/demSilhouetteGp1.m → gp/demSilhouetteGp1.m b/demSilhouetteGp1.m → gp/demSilhouetteGp1.m
@@ -7,7 +7,7 @@
 % 
 % COPYRIGHT : Neil D. Lawrence, 2008
 
-% GPMAT
+% GP
 
 randn('seed', 1e7)
 rand('seed', 1e7)

diff --git a/demSilhouetteGp2.m → gp/demSilhouetteGp2.m b/demSilhouetteGp2.m → gp/demSilhouetteGp2.m
@@ -7,7 +7,7 @@
 % 
 % COPYRIGHT : Neil D. Lawrence, 2008
 
-% GPMAT
+% GP
 
 randn('seed', 1e7)
 rand('seed', 1e7)

diff --git a/demSilhouetteLinear1.m → gp/demSilhouetteLinear1.m b/demSilhouetteLinear1.m → gp/demSilhouetteLinear1.m
@@ -7,7 +7,7 @@
 % 
 % COPYRIGHT : Neil D. Lawrence, 2008
 
-% GPMAT
+% GP
 
 randn('seed', 1e7)
 rand('seed', 1e7)
@@ -37,4 +37,4 @@
 save([fileBaseName '.mat'], 'model');
 
 
-demSilhouettePlot
+demSilhouettePlot
diff --git a/demSilhouettePlot.m → gp/demSilhouettePlot.m b/demSilhouettePlot.m → gp/demSilhouettePlot.m
@@ -1,6 +1,6 @@
 % DEMSILHOUETTEPLOT
 
-% GPMAT
+% GP
 
 % Show prediction for test data.
 yPred = modelOut(model, XTest);

diff --git a/demSilhouettePlotTrue.m → gp/demSilhouettePlotTrue.m b/demSilhouettePlotTrue.m → gp/demSilhouettePlotTrue.m
@@ -1,6 +1,6 @@
 % DEMSILHOUETTEPLOTTRUE Plot the true poses for the silhouette data.
 
-% GPMAT
+% GP
 dataSetName = 'silhouette';
 
 % load data

diff --git a/demSpgp1dGp1.m → gp/demSpgp1dGp1.m b/demSpgp1dGp1.m → gp/demSpgp1dGp1.m
@@ -1,6 +1,6 @@
 % DEMSPGP1DGP1 Do a simple 1-D regression after Snelson & Ghahramani's example.
 
-% GPMAT
+% GP
 
 % Fix seeds
 randn('seed', 1e5);

diff --git a/demSpgp1dGp2.m → gp/demSpgp1dGp2.m b/demSpgp1dGp2.m → gp/demSpgp1dGp2.m
@@ -1,6 +1,6 @@
 % DEMSPGP1DGP2 Do a simple 1-D regression after Snelson & Ghahramani's example.
 
-% GPMAT
+% GP
 
 % Fix seeds
 randn('seed', 2e5);

diff --git a/demSpgp1dGp3.m → gp/demSpgp1dGp3.m b/demSpgp1dGp3.m → gp/demSpgp1dGp3.m
@@ -1,6 +1,6 @@
 % DEMSPGP1DGP3 Do a simple 1-D regression after Snelson & Ghahramani's example.
 
-% GPMAT
+% GP
 
 % Fix seeds
 randn('seed', 1e5);
@@ -35,4 +35,4 @@
 % Save the results.
 fileName = modelWriteResult(model, dataSetName, experimentNo);
 
-demSpgp1dPlot;
+demSpgp1dPlot;
diff --git a/demSpgp1dGp4.m → gp/demSpgp1dGp4.m b/demSpgp1dGp4.m → gp/demSpgp1dGp4.m
@@ -1,6 +1,6 @@
 % DEMSPGP1DGP4 Do a simple 1-D regression after Snelson & Ghahramani's example.
 
-% GPMAT
+% GP
 
 % Fix seeds
 randn('seed', 1e5);
@@ -33,4 +33,4 @@
 % Save results
 fileName = modelWriteResult(model, dataSetName, experimentNo);
 
-demSpgp1dPlot
+demSpgp1dPlot
diff --git a/demSpgp1dGp5.m → gp/demSpgp1dGp5.m b/demSpgp1dGp5.m → gp/demSpgp1dGp5.m
@@ -1,6 +1,6 @@
 % DEMSPGP1DGP5 Do a simple 1-D regression after Snelson & Ghahramani's example.
 
-% GPMAT
+% GP
 
 % Fix seeds
 randn('seed', 1e5);

diff --git a/demSpgp1dPlot.m → gp/demSpgp1dPlot.m b/demSpgp1dPlot.m → gp/demSpgp1dPlot.m
@@ -1,6 +1,6 @@
 % DEMSPGP1DPLOT Plot results from 1-D sparse GP.
 
-% GPMAT
+% GP
 
 fillColor = [0.7 0.7 0.7];
 xTest = linspace(-1.5, 1.5, 200)';

diff --git a/demStickGp1.m → gp/demStickGp1.m b/demStickGp1.m → gp/demStickGp1.m
@@ -6,7 +6,7 @@
 % 
 % COPYRIGHT : Neil D. Lawrence, 2008
 
-% GPMAT
+% GP
 
 randn('seed', 1e7)
 rand('seed', 1e7)
@@ -75,4 +75,4 @@
     fileName = ['dem' capName 'Gp' num2str(experimentNo) 'Out' num2str(i)];
     printPlot(fileName, '../tex/diagrams', '../html');
   end
-end
+end
diff --git a/gpBlockIndices.m → gp/gpBlockIndices.m b/gpBlockIndices.m → gp/gpBlockIndices.m
@@ -14,7 +14,7 @@
 %
 % COPYRIGHT : Neil D. Lawrence, 2006
 
-% GPMAT
+% GP
 
 
 if ~strcmp(model.approx, 'pitc')

diff --git a/gpComputeAlpha.m → gp/gpComputeAlpha.m b/gpComputeAlpha.m → gp/gpComputeAlpha.m
@@ -13,7 +13,7 @@
 %
 % COPYRIGHT : Neil D. Lawrence, 2006, 2009
 
-% GPMAT
+% GP
 
 if nargin < 2
   m = model.m;
@@ -73,4 +73,4 @@
       end
     end  
   end
-end
+end
diff --git a/gpComputeObservationLogLikelihood.m → gp/gpComputeObservationLogLikelihood.m b/gpComputeObservationLogLikelihood.m → gp/gpComputeObservationLogLikelihood.m
@@ -11,7 +11,7 @@
 %
 % COPYRIGHT : Carl Henrik Ek, 2010
 
-% GPMAT
+% GP
 
   if(verbose)
     handle_waitbar = waitbar(0,'Computing Observation Loglikelihood');
@@ -44,4 +44,4 @@
   end
 
   return;
-end
+end
diff --git a/gpComputeTranslationLogLikelihood.m → gp/gpComputeTranslationLogLikelihood.m b/gpComputeTranslationLogLikelihood.m → gp/gpComputeTranslationLogLikelihood.m
@@ -10,7 +10,7 @@
 %
 % COPYRIGHT : Carl Henrik Ek, 2010
 
-% GPMAT
+% GP
 
 
 if(iscell(Xlabel)&&size(Xlabel{1},1)==1)

diff --git a/gpCovGrads.m → gp/gpCovGrads.m b/gpCovGrads.m → gp/gpCovGrads.m
@@ -22,7 +22,7 @@
 %
 % SEEALSO : gpCreate, gpLogLikeGradient
 
-% GPMAT
+% GP
 
 switch model.approx
  case {'dtc', 'dtcvar'}
@@ -259,4 +259,4 @@
   end
  otherwise
   error('Unknown approximation type');
-end
+end
diff --git a/gpCovGradsTest.m → gp/gpCovGradsTest.m b/gpCovGradsTest.m → gp/gpCovGradsTest.m
@@ -11,7 +11,7 @@
 %
 % COPYRIGHT : Neil D. Lawrence, 2006, 2009
 
-% GPMAT
+% GP
 
 % WARNING --- this isn't testing g_Lambda in gpCovGrads
 

diff --git a/gpCreate.m → gp/gpCreate.m b/gpCreate.m → gp/gpCreate.m
@@ -17,7 +17,7 @@
 %
 % MODIFICATIONS : Cark Henrik Ek, 2007
 
-% GPMAT
+% GP
 
 if size(X, 2) ~= q
   error(['Input matrix X does not have dimension ' num2str(q)]);

diff --git a/gpDataIndices.m → gp/gpDataIndices.m b/gpDataIndices.m → gp/gpDataIndices.m
@@ -24,7 +24,7 @@
 %
 % COPYRIGHT : Neil D. Lawrence, 2006
 
-% GPMAT
+% GP
 
 
 if nargin > 2

diff --git a/gpDeconstruct.m → gp/gpDeconstruct.m b/gpDeconstruct.m → gp/gpDeconstruct.m
@@ -15,7 +15,7 @@
 %
 % COPYRIGHT : Neil D. Lawrence, 2007, 2009
 
-% GPMAT
+% GP
 
 kern = model.kern;
 if isfield(model, 'noise')

diff --git a/gpDisplay.m → gp/gpDisplay.m b/gpDisplay.m → gp/gpDisplay.m
@@ -12,7 +12,7 @@ function gpDisplay(model, spaceNum)
 %
 % COPYRIGHT : Neil D. Lawrence, 2005, 2006, 2009
 
-% GPMAT
+% GP
 
 if nargin > 1
   spacing = repmat(32, 1, spaceNum);

diff --git a/gpExpandParam.m → gp/gpExpandParam.m b/gpExpandParam.m → gp/gpExpandParam.m
@@ -17,7 +17,7 @@
 %
 % COPYRIGHT : Neil D. Lawrence, 2005, 2006, 2009
 
-% GPMAT
+% GP
 
 if isfield(model, 'fix')
   for i = 1:length(model.fix)
-Original file line number
+Diff line change
@@ Expand Up / @@ -5,7 +5,7 @@ @@
     % COPYRIGHT : Neil D. Lawrence, 2006, 2008
-    % GPMAT
+    % GP
     randn('seed', 1e5);
     rand('seed', 1e5);
@@ Expand Down @@