121                OutputArray probs)  in trainEM()  argument
125         return doTrain(START_AUTO_STEP, logLikelihoods, labels, probs);  in trainEM()
134                 OutputArray probs)  in trainE()  argument
144         return doTrain(START_E_STEP, logLikelihoods, labels, probs);  in trainE()
151                 OutputArray probs)  in trainM()  argument
157         return doTrain(START_M_STEP, logLikelihoods, labels, probs);  in trainM()
163         Mat samples = _inputs.getMat(), probs, probsrow;  in predict()  local
180                 probsrow = probs.row(i);  in predict()
203         Mat probs;  in predict2()  local
209             probs = _probs.getMat();  in predict2()
212         return computeProbabilities(sample, !probs.empty() ? &probs : 0, ptype);  in predict2()
236                                int nclusters, int covMatType, const Mat* probs, const Mat* means,  in checkTrainData()  argument
256         CV_Assert(!probs ||  in checkTrainData()
257             (!probs->empty() &&  in checkTrainData()
258              probs->rows == nsamples && probs->cols == nclusters &&  in checkTrainData()
259              (probs->type() == CV_32FC1 || probs->type() == CV_64FC1)));  in checkTrainData()
290             CV_Assert(probs);  in checkTrainData()
302     static void preprocessProbability(Mat& probs)  in preprocessProbability()  argument
304         max(probs, 0., probs);  in preprocessProbability()
306         const double uniformProbability = (double)(1./probs.cols);  in preprocessProbability()
307         for(int y = 0; y < probs.rows; y++)  in preprocessProbability()
309             Mat sampleProbs = probs.row(y);  in preprocessProbability()
475     bool doTrain(int startStep, OutputArray logLikelihoods, OutputArray labels, OutputArray probs)  in doTrain()  argument
544         if(probs.needed())  in doTrain()
545             trainProbs.copyTo(probs);  in doTrain()
557     Vec2d computeProbabilities(const Mat& sample, Mat* probs, int ptype) const  in computeProbabilities()  argument
617         if(probs)  in computeProbabilities()
618             L.convertTo(*probs, ptype, 1./expDiffSum);  in computeProbabilities()