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authorJon Whiteaker <jbw@berkeley.edu>2012-03-02 17:46:17 -0800
committerJon Whiteaker <jbw@berkeley.edu>2012-03-02 17:46:17 -0800
commit33ec49c98ada0b9edd7283b8bb5cca4b5738b923 (patch)
tree35f86281de8d0f68f197e92eb557bd48edb5cb11 /data/combined/scriptSkeleton.m
parenta9c5394e154db4bcaecc105959a3d785b0d3cc92 (diff)
downloadkinect-33ec49c98ada0b9edd7283b8bb5cca4b5738b923.tar.gz
other half of graphs plus front/back
Diffstat (limited to 'data/combined/scriptSkeleton.m')
-rw-r--r--data/combined/scriptSkeleton.m4
1 files changed, 0 insertions, 4 deletions
diff --git a/data/combined/scriptSkeleton.m b/data/combined/scriptSkeleton.m
index 0dfbfa0..91c724f 100644
--- a/data/combined/scriptSkeleton.m
+++ b/data/combined/scriptSkeleton.m
@@ -69,8 +69,6 @@ recall = zeros(numEx, 0);
for ex = 1 : numEx
train = trains{ex};
test = tests{ex};
- length(train)
- length(test)
% NB classifier with multivariate Gaussians
Py = zeros(numClasses, 1);
@@ -118,8 +116,6 @@ for ex = 1 : numEx
% prediction
[conf, yp] = max(logp, [], 2);
- size(yp)
- exit
% sum up all but the highest probability
norm1 = logp - repmat(conf, 1, numClasses);