Examples with RegTNodeStat com.tencent.angel.ml.GBDT.algo.RegTree.RegTNodeStat used on opensource projects

Example 1 with RegTNodeStat

use of com.tencent.angel.ml.GBDT.algo.RegTree.RegTNodeStat in project angel by Tencent.

the class AfterSplitRunner method run.

@Override
public void run() {
    int splitFeature = splitFeatureVec.get(nid);
    float splitValue = (float) splitValueVec.get(nid);
    float splitGain = (float) splitGainVec.get(nid);
    float nodeSumGrad = (float) nodeGradStatsVec.get(nid);
    float nodeSumHess = (float) nodeGradStatsVec.get(nid + this.controller.maxNodeNum);
    LOG.info(String.format("Active node[%d]: split feature[%d] value[%f], lossChg[%f], sumGrad[%f], sumHess[%f]", nid, splitFeature, splitValue, splitGain, nodeSumGrad, nodeSumHess));
    if (splitFeature != -1) {
        // 5.1. set the children nodes of this node
        this.controller.forest[this.controller.currentTree].nodes.get(nid).setLeftChild(2 * nid + 1);
        this.controller.forest[this.controller.currentTree].nodes.get(nid).setRightChild(2 * nid + 2);
        // 5.2. set split info and grad stats to this node
        SplitEntry splitEntry = new SplitEntry(splitFeature, splitValue, splitGain);
        this.controller.forest[this.controller.currentTree].stats.get(nid).setSplitEntry(splitEntry);
        this.controller.forest[this.controller.currentTree].stats.get(nid).lossChg = splitGain;
        this.controller.forest[this.controller.currentTree].stats.get(nid).setStats(nodeSumGrad, nodeSumHess);
        // 5.2. create children nodes
        TNode leftChild = new TNode(2 * nid + 1, nid, -1, -1);
        TNode rightChild = new TNode(2 * nid + 2, nid, -1, -1);
        this.controller.forest[this.controller.currentTree].nodes.set(2 * nid + 1, leftChild);
        this.controller.forest[this.controller.currentTree].nodes.set(2 * nid + 2, rightChild);
        // 5.3. create node stats for children nodes, and add them to the tree
        RegTNodeStat leftChildStat = new RegTNodeStat(this.controller.param);
        RegTNodeStat rightChildStat = new RegTNodeStat(this.controller.param);
        float leftChildSumGrad = (float) nodeGradStatsVec.get(2 * nid + 1);
        float rightChildSumGrad = (float) nodeGradStatsVec.get(2 * nid + 2);
        float leftChildSumHess = (float) nodeGradStatsVec.get(2 * nid + 1 + this.controller.maxNodeNum);
        float rightChildSumHess = (float) nodeGradStatsVec.get(2 * nid + 2 + this.controller.maxNodeNum);
        leftChildStat.setStats(leftChildSumGrad, leftChildSumHess);
        rightChildStat.setStats(rightChildSumGrad, rightChildSumHess);
        this.controller.forest[this.controller.currentTree].stats.set(2 * nid + 1, leftChildStat);
        this.controller.forest[this.controller.currentTree].stats.set(2 * nid + 2, rightChildStat);
        // 5.4. reset instance position
        this.controller.resetInsPos(nid, splitFeature, splitValue);
        // 5.5. add new active nodes if possible, inc depth, otherwise finish this tree
        if (this.controller.currentDepth < this.controller.param.maxDepth - 1) {
            LOG.debug(String.format("Add children nodes of node[%d]:[%d][%d] to active nodes", nid, 2 * nid + 1, 2 * nid + 2));
            this.controller.addActiveNode(2 * nid + 1);
            this.controller.addActiveNode(2 * nid + 2);
        } else {
            // 5.6. set children nodes to leaf nodes
            LOG.debug(String.format("Set children nodes of node[%d]:[%d][%d] to leaf nodes", nid, 2 * nid + 1, 2 * nid + 2));
            this.controller.setNodeToLeaf(2 * nid + 1, leftChildStat.baseWeight);
            this.controller.setNodeToLeaf(2 * nid + 2, rightChildStat.baseWeight);
        }
    } else {
        // 5.7. set nid to leaf node
        this.controller.setNodeToLeaf(nid, this.controller.param.calcWeight(nodeSumGrad, nodeSumHess));
    }
    // 5.8. deactivate active node
    this.controller.resetActiveTNodes(nid);
    this.controller.activeNodeStat[nid] = 0;
}