51 void defaultDistribs( Mat& means, vector<Mat>& covs, int type=CV_32FC1 )  in defaultDistribs()
57     Mat m0( 1, 2, CV_32FC1, mp0 ), c0( 2, 2, CV_32FC1, cp0 );  in defaultDistribs()
58     Mat m1( 1, 2, CV_32FC1, mp1 ), c1( 2, 2, CV_32FC1, cp1 );  in defaultDistribs()
59     Mat m2( 1, 2, CV_32FC1, mp2 ), c2( 2, 2, CV_32FC1, cp2 );  in defaultDistribs()
106             if( labelType == CV_32FC1 )  in generateData()
145     assert( labels.type() == CV_32SC1 || labels.type() == CV_32FC1 );  in getLabelsMap()
147     bool isFlt = labels.type() == CV_32FC1;  in getLabelsMap()
191     CV_Assert( labels.type() == CV_32SC1 || labels.type() == CV_32FC1 );  in calcErr()
195     bool isFlt = labels.type() == CV_32FC1;  in calcErr()
233     Mat data( pointsCount, 2, CV_32FC1 ), labels;  in run()
238     generateData( data, labels, sizes, means, covs, CV_32FC1, CV_32SC1 );  in run()
303     Mat trainData( pointsCount, 2, CV_32FC1 ), trainLabels;  in run()
308     generateData( trainData, trainLabels, sizes, means, covs, CV_32FC1, CV_32FC1 );  in run()
311     Mat testData( pointsCount, 2, CV_32FC1 ), testLabels, bestLabels;  in run()
312     generateData( testData, testLabels, sizes, means, covs, CV_32FC1, CV_32FC1 );  in run()