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    Searched full:probs0 (Results 1 - 4 of 4) sorted by null

  /external/opencv3/modules/java/src/
ml+EM.java 202 // C++: bool trainM(Mat samples, Mat probs0, Mat& logLikelihoods = Mat(), Mat& labels = Mat(), Mat& probs = Mat())
205 //javadoc: EM::trainM(samples, probs0, logLikelihoods, labels, probs)
206 public boolean trainM(Mat samples, Mat probs0, Mat logLikelihoods, Mat labels, Mat probs)
209 boolean retVal = trainM_0(nativeObj, samples.nativeObj, probs0.nativeObj, logLikelihoods.nativeObj, labels.nativeObj, probs.nativeObj);
214 //javadoc: EM::trainM(samples, probs0)
215 public boolean trainM(Mat samples, Mat probs0)
218 boolean retVal = trainM_1(nativeObj, samples.nativeObj, probs0.nativeObj);
280 // C++: bool trainM(Mat samples, Mat probs0, Mat& logLikelihoods = Mat(), Mat& labels = Mat(), Mat& probs = Mat())
ml.cpp 385 // bool trainM(Mat samples, Mat probs0, Mat& logLikelihoods = Mat(), Mat& labels = Mat(), Mat& probs = Mat())
398 Mat& probs0 = *((Mat*)probs0_nativeObj); local
402 bool _retval_ = (*me)->trainM( samples, probs0, logLikelihoods, labels, probs );
424 Mat& probs0 = *((Mat*)probs0_nativeObj); local
425 bool _retval_ = (*me)->trainM( samples, probs0 );
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  /external/opencv3/modules/ml/src/
em.cpp 154 Mat probs0 = _probs0.getMat(); local
156 setTrainData(START_M_STEP, samplesMat, !_probs0.empty() ? &probs0 : 0, 0, 0, 0);
321 const Mat* probs0,
328 checkTrainData(startStep, samples, nclusters, covMatType, probs0, means0, covs0, weights0);
335 if(probs0 && startStep == START_M_STEP)
337 preprocessSampleData(*probs0, trainProbs, CV_64FC1, true);
  /external/opencv3/modules/ml/include/opencv2/
ml.hpp     [all...]

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