dualsparsedoublefeaturesproject.m.svn-base

a function inside machine learning

function [testInfo, projectionInfo] = dualSparseDoubleFeaturesProject(trainData, testData, subspaceInfo, params)
%Extract new features on a test set for CCA features 

if (nargin ~= 4)
    fprintf('%s\n', help(sprintf('%s', mfilename)));
    error('Incorrect number of inputs - see above usage instructions.');
end

%First, figure out which variables to use in the data struct 
[nameX, nameY] = getSpaceNames(params); 

projectionParamsX.X.name = nameX; 
projectionParamsX.X.kernel = params.X.kernel; 

projectionParamsY.X.name = nameY; 
projectionParamsY.X.kernel = params.Y.kernel; 

[testInfoX, projectionInfoX] = dualSparseGeneralFeaturesProject(trainData, testData, subspaceInfo, projectionParamsX);
[testInfoY, projectionInfoY] = dualSparseGeneralFeaturesProject(trainData, testData, subspaceInfo, projectionParamsY);

testInfo = struct; 
testInfo.data = data; 
testInfo.data = copyDataField(testInfoY.data, testInfo.data, 'X'); 
testInfo.data = renameDataField(testInfo.data, 'X', 'Y'); 
testInfo.data = copyDataField(testInfoX.data, testInfo.data, 'X'); 

%Clear the previous data 
testInfoX.data = clearAllFields(testInfoX.data); 
testInfoY.data = clearAllFields(testInfoY.data); 

projectionInfo = struct; 
projectionInfo.X = projectionInfoX; 
projectionInfo.Y = projectionInfoY;