getdefaultsparsecca.m.svn-base

a function inside machine learning

function sparseCCA = getDefaultSparseCCA
%Return defualt SMA parameters 

if (nargin ~= 0)
    fprintf('%s\n', help(sprintf('%s', mfilename)));
    error('Incorrect number of inputs - see above usage instructions.');
end

sparseCCA.trainName = 'dualSparseDoubleFeaturesTrain';
sparseCCA.testName = 'dualSparseDoubleFeaturesProject';
sparseCCA.params.dualSparseMeasureFunction = 'sparseCorrelations';
sparseCCA.params.iterations = 5;
sparseCCA.params.X.name = 'X';
sparseCCA.params.X.kernel = getDefaultLinearKernel;
sparseCCA.params.Y.name = 'Y';
sparseCCA.params.Y.kernel = getDefaultLinearKernel;
sparseCCA.params.numKernelCols = 100;
sparseCCA.params.normalise = 1;