Searched refs:priors (Results 1 – 4 of 4) sorted by relevance
| /external/opencv/ml/src/ |
| D | mltree.cpp | 50 priors = priors_mult = counts = buf = direction = split_buf = 0; in CvDTreeTrainData()
64 priors = priors_mult = counts = buf = direction = split_buf = 0; in CvDTreeTrainData()
162 cvReleaseMat( &priors ); in CV_IMPLEMENT_QSORT_EX()
169 priors = data->priors; data->priors = 0; in CV_IMPLEMENT_QSORT_EX()
508 have_priors = is_classifier && params.priors; in CV_IMPLEMENT_QSORT_EX()
513 CV_CALL( priors = cvCreateMat( 1, m, CV_64F )); in CV_IMPLEMENT_QSORT_EX()
516 double val = have_priors ? params.priors[i] : 1.; in CV_IMPLEMENT_QSORT_EX()
519 priors->data.db[i] = val; in CV_IMPLEMENT_QSORT_EX()
525 cvScale( priors, priors, 1./sum ); in CV_IMPLEMENT_QSORT_EX()
527 CV_CALL( priors_mult = cvCloneMat( priors )); in CV_IMPLEMENT_QSORT_EX()
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| D | mlboost.cpp | 75 priors = _priors; in CvBoostParams()
1007 p[0] = data->priors->data.db[0]*(c1 < count ? 1./(count - c1) : 0.); in update_weights()
1008 p[1] = data->priors->data.db[1]*(c1 > 0 ? 1./c1 : 0.); in update_weights()
1498 params.priors = data->params.priors; in read_params()
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| D | mlrtrees.cpp | 247 params.cv_folds, params.use_1se_rule, false, params.priors ); in train()
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| /external/opencv/ml/include/ |
| D | ml.h | 715 const float* priors; member
719 truncate_pruned_tree(true), regression_accuracy(0.01f), priors(0) in CvDTreeParams()
732 priors(_priors) in CvDTreeParams()
812 CvMat* priors; member
1027 int max_depth, bool use_surrogates, const float* priors );
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