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Prevent crash when attempting to create training data without responses.

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This is at least useful when using an SVM one-class linear classifier, so there are valid use cases.
This commit is contained in:
Rink Springer 2017-06-30 15:32:40 +02:00 committed by Rink Springer
parent a84a5e8f1a
commit 3ce1bca670
1 changed files with 1 additions and 1 deletions
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modules/ml/src/data.cpp
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@ -403,7 +403,7 @@ public:
Mat(tempCatMap).copyTo(catMap);
}
if( varType.at<uchar>(ninputvars) == VAR_CATEGORICAL )
if( noutputvars > 0 && varType.at<uchar>(ninputvars) == VAR_CATEGORICAL )
{
preprocessCategorical(responses, &normCatResponses, labels, &counters, sortbuf);
Mat(labels).copyTo(classLabels);