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Bug correction: scalar fields were not properly built
Classification_prediction, Classification_confidence, Classification_backup
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@@ -132,7 +132,7 @@ bool ContextBasedFeature::prepare( const CorePoints& corePoints,
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if (!scaled() && !sfWasAlreadyExisting) //with 'kNN' neighbors, we can compute the values right away
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{
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unsigned pointCount = corePoints.size();
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QString logMessage = QString("Computing %1 on cloud %2 with context cloud %3\n(core points: %4)").arg(typeStr).arg(corePoints.cloud->getName()).arg(cloud2Label).arg(pointCount);
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QString logMessage = QString("Computing %1 on cloud %2 with context cloud %3\n(core points: %4)").arg(typeStr).arg(corePoints.cloud->getName()).arg(cloud1Label).arg(pointCount);
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//first: look for the number of points in the relevent class
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const ScalarType fClass = static_cast<ScalarType>(ctxClassLabel);
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