getdefaultsma.m.svn-base

a function inside machine learning

function SMA = getDefaultSMA
%Return defualt SMA parameters 

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

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