Searched refs:DTrees (Results 1 – 15 of 15) sorted by relevance
11 public class DTrees extends StatModel { class13 protected DTrees(long addr) { super(addr); } in DTrees() method in DTrees280 public static DTrees create() in create()283 DTrees retVal = new DTrees(create_0()); in create()
2991 Ptr<cv::ml::DTrees>* me = (Ptr<cv::ml::DTrees>*) self; //TODO: check for NULL in Java_org_opencv_ml_DTrees_getMaxCategories_10()3016 Ptr<cv::ml::DTrees>* me = (Ptr<cv::ml::DTrees>*) self; //TODO: check for NULL in Java_org_opencv_ml_DTrees_setMaxCategories_10()3041 Ptr<cv::ml::DTrees>* me = (Ptr<cv::ml::DTrees>*) self; //TODO: check for NULL in Java_org_opencv_ml_DTrees_getMaxDepth_10()3066 Ptr<cv::ml::DTrees>* me = (Ptr<cv::ml::DTrees>*) self; //TODO: check for NULL in Java_org_opencv_ml_DTrees_setMaxDepth_10()3091 Ptr<cv::ml::DTrees>* me = (Ptr<cv::ml::DTrees>*) self; //TODO: check for NULL in Java_org_opencv_ml_DTrees_getMinSampleCount_10()3116 Ptr<cv::ml::DTrees>* me = (Ptr<cv::ml::DTrees>*) self; //TODO: check for NULL in Java_org_opencv_ml_DTrees_setMinSampleCount_10()3141 Ptr<cv::ml::DTrees>* me = (Ptr<cv::ml::DTrees>*) self; //TODO: check for NULL in Java_org_opencv_ml_DTrees_getCVFolds_10()3166 Ptr<cv::ml::DTrees>* me = (Ptr<cv::ml::DTrees>*) self; //TODO: check for NULL in Java_org_opencv_ml_DTrees_setCVFolds_10()3191 Ptr<cv::ml::DTrees>* me = (Ptr<cv::ml::DTrees>*) self; //TODO: check for NULL in Java_org_opencv_ml_DTrees_getUseSurrogates_10()3216 Ptr<cv::ml::DTrees>* me = (Ptr<cv::ml::DTrees>*) self; //TODO: check for NULL in Java_org_opencv_ml_DTrees_setUseSurrogates_10()[all …]
11 public class Boost extends DTrees {
12 public class RTrees extends DTrees {
76 Ptr<DTrees> dtree = DTrees::create(); in main()
152 Ptr<DTrees> dtree = DTrees::create(); in find_decision_boundary_DT()
919 class CV_EXPORTS_W DTrees : public StatModel class1091 CV_WRAP static Ptr<DTrees> create();1102 class CV_EXPORTS_W RTrees : public DTrees1156 class CV_EXPORTS_W Boost : public DTrees
38 using cv::ml::DTrees;
378 Ptr<DTrees> m = DTrees::create(); in train()483 model = Algorithm::load<DTrees>( filename ); in load()
197 model = Algorithm::load<DTrees>(filename); in oneTest()217 … model->predict(input, output, StatModel::RAW_OUTPUT | (isTree ? DTrees::PREDICT_SUM : 0)); in oneTest()
208 class DTreesImpl : public DTrees
81 DTrees::Node::Node() in Node()88 DTrees::Split::Split() in Split()1938 Ptr<DTrees> DTrees::create() in create()
110 | CvDTree | cv::ml::DTrees |
97 The class cv::ml::DTrees represents a single decision tree or a collection of decision trees. It's105 @sa cv::ml::DTrees