annotate analysis/calcLoss.m @ 33:74d123779d3b
create analysis script to prune and write the relevant features for each level - including an 80% classification threshold on the tree - perhaps this can be addressed
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DaveM |
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Wed, 15 Mar 2017 16:33:54 +0000 |
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DaveM@33
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1 function [l,se] = calcLoss(linkList,featureList, row)
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2
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3 classList = traceLinkageToBinary(linkList,row);
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4 X = data(classList>0,featureList{row,1});
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5 Y = classList(classList>0);
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6 [l,se] = loss(featureList{row,3},X,Y);
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7 end
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