| /external/opencv3/modules/ml/ |
| precomp.hpp | 218 value = maxlr = alpha = node_risk = tree_risk = tree_error = 0.;
239 double node_risk, tree_risk, tree_error; member in struct:cv::ml::DTreesImpl::WNode
|
| /external/opencv3/modules/ml/src/ |
| precomp.hpp | 218 value = maxlr = alpha = node_risk = tree_risk = tree_error = 0.;
239 double node_risk, tree_risk, tree_error; member in struct:cv::ml::DTreesImpl::WNode
|
| tree.cpp | 389 if( sqrt(node.node_risk) < params.getRegressionAccuracy() )
396 //printf("depth=%d, nidx=%d, parent=%d, n=%d, %s, value=%.1f, risk=%.1f\n", node.depth, nidx, node.parent, n, (node.split < 0 ? "leaf" : varType[w->wsplits[node.split].varIdx] == VAR_CATEGORICAL ? "cat" : "ord"), node.value, node.node_risk);
539 node->node_risk = total_weight - max_val;
634 node->node_risk = sum2 - (sum/sumw)*sum;
[all...] |
| /external/opencv/ml/src/ |
| mltree.cpp | 821 node->alpha = node->node_risk = node->tree_risk = node->tree_error = 0.;
[all...] |
| mlboost.cpp | 760 node->node_risk = sum2 - (sum*iw)*sum;
764 node->node_risk *= count*iw*count*iw;
[all...] |
| /external/opencv3/apps/traincascade/ |
| old_ml_tree.cpp | [all...] |
| old_ml_boost.cpp | 866 node->node_risk = sum2 - (sum*iw)*sum;
870 node->node_risk *= n*iw*n*iw;
[all...] |
| old_ml.hpp | 618 double node_risk, tree_risk, tree_error; member in struct:CvDTreeNode
[all...] |
| /external/opencv/ml/include/ |
| ml.h | 693 double node_risk, tree_risk, tree_error; member in struct:CvDTreeNode
[all...] |
