getdefaultsmc.m.svn-base

a function inside machine learning

function SMC = getDefaultSMC
%Return defualt SMA parameters 

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

SMC.trainName = 'dualSparseGeneralFeaturesLM3Train'; 
SMC.testName = 'dualSparseGeneralFeaturesProject'; 
SMC.params.dualSparseMeasureFunction = 'sparseCovariances';
SMC.params.iterations = 5;
SMC.params.cacheSize = 500;
SMC.params.normalise = 1;
SMC.params.X.kernel = getDefaultLinearKernel;