Searched refs:catOfs (Results 1 – 3 of 3) sorted by relevance
315 int getCatCount(int vi) const { return catOfs[vi][1] - catOfs[vi][0]; } in getCatCount()370 vector<Vec2i> catOfs; member in cv::ml::DTreesImpl
203 int n = (int)catOfs.total(); in getCatCount()205 Vec2i ofs = catOfs.at<Vec2i>(vi); in getCatCount()209 Mat getCatOfs() const CV_OVERRIDE { return catOfs; } in getCatOfs()230 catOfs.release(); in clear()328 catOfs = Mat::zeros(1, nvars, CV_32SC2); in setData()400 Mat(tempCatOfs).copyTo(catOfs); in setData()920 Vec2i ofs = catOfs.at<Vec2i>(vi); in getNormCatValues()1013 Mat sampleWeights, catMap, catOfs; member in cv::ml::CV_FINAL
128 catOfs.clear(); in clear()149 data->getCatOfs().copyTo(catOfs); in startTraining()1377 int i, ncats = (int)catOfs.size(), nclasses = (int)classLabels.size(); in predictTrees()1384 const Vec2i* cofs = !catOfs.empty() ? &catOfs[0] : 0; in predictTrees()1585 if( !catOfs.empty() ) in writeParams()1586 fs << "cat_ofs" << catOfs; in writeParams()1794 catOfs.clear(); in readParams()1809 catOfs.push_back(newOffsets); in readParams()1820 fn["cat_ofs"] >> catOfs; in readParams()