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[RBM]

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- fix: skip variable variance calculation if no training data is present

git-svn-id: http://moon:8086/svn/software/trunk/projects/RBM@291 b431acfa-c32f-4a4a-93f1-934dc6c82436
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jens
2016-06-15 20:53:54 +00:00
parent 2de8e9ac48
commit 3a200cb46e
1 changed files with 1 additions and 1 deletions
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Source/Rbm.hpp
+1 -1
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@@ -468,7 +468,7 @@ public:
void setDoLearnVariance(bool flag) void setDoLearnVariance(bool flag)
{ {
m_doLearnVariance = flag; m_doLearnVariance = flag;
if (m_doLearnVariance) if (m_doLearnVariance && m_batch.getSize())
{ {
m_variableSigma = calcSigma(m_batch.data()); m_variableSigma = calcSigma(m_batch.data());
} }