Searched refs:catOfs (Results 1 – 4 of 4) sorted by relevance
297 int getCatCount(int vi) const { return catOfs[vi][1] - catOfs[vi][0]; } in getCatCount()352 vector<Vec2i> catOfs; member in cv::ml::DTreesImpl
198 int n = (int)catOfs.total(); in getCatCount()200 Vec2i ofs = catOfs.at<Vec2i>(vi); in getCatCount()204 Mat getCatOfs() const { return catOfs; } in getCatOfs()224 catOfs.release(); in clear()322 catOfs = Mat::zeros(1, nvars, CV_32SC2); in setData()394 Mat(tempCatOfs).copyTo(catOfs); in setData()896 Vec2i ofs = catOfs.at<Vec2i>(vi); in getNormCatValues()968 Mat sampleWeights, catMap, catOfs; member in cv::ml::TrainDataImpl
125 catOfs.clear(); in clear()145 data->getCatOfs().copyTo(catOfs); in startTraining()1371 int i, ncats = (int)catOfs.size(), nclasses = (int)classLabels.size(); in predictTrees()1378 const Vec2i* cofs = !catOfs.empty() ? &catOfs[0] : 0; in predictTrees()1578 if( !catOfs.empty() ) in writeParams()1579 fs << "cat_ofs" << catOfs; in writeParams()1756 catOfs.clear(); in readParams()1771 catOfs.push_back(newOffsets); in readParams()1782 fn["cat_ofs"] >> catOfs; in readParams()