Mercurial > hg > camir-aes2014
view core/tools/machine_learning/sim_get_traintest_clip_overlap.m @ 0:e9a9cd732c1e tip
first hg version after svn
author | wolffd |
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date | Tue, 10 Feb 2015 15:05:51 +0000 |
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function [relative, absolute, test_cn, train_cn] = sim_get_traintest_clip_overlap(datafile) % % get_traintest_clip_overlap(datafile) % % returns the percentage of overlapping constraints % with the corresponding training set for each test set % % how many percent of the test set are reappearing in the training set % simdata = load(datafile); if nargin < 1 simdata = load('comp_partBinData_unclustered_cupaper_01'); else simdata = load(datafile); end nTestSets = size(simdata.partBinTst, 2); % num cv bins ntrainsizes = size(simdata.partBinTrn, 2); % num increases of training absolute = zeros(nTestSets, ntrainsizes); relative = zeros(nTestSets, ntrainsizes); for k = 1:nTestSets % all test/training combinatios % get clips of this test set test_clips = unique([simdata.partBinTst{k}(:,1); simdata.partBinTst{k}(:,2); simdata.partBinTst{k}(:,3)]); test_cn(k) = numel(test_clips); for m = 1:ntrainsizes % get clips of this training set train_clips = unique([simdata.partBinTrn{k,m}(:,1); simdata.partBinTrn{k,m}(:,2); simdata.partBinTrn{k,m}(:,3)]); % intersect both clip sets same = intersect(train_clips, test_clips); % get stats absolute(k,m) = numel(same); relative(k,m) = absolute(k,m) / numel(test_clips); end train_cn(k) = numel(train_clips); end