Package edu.uci.jforestsx.learning.trees

Examples of edu.uci.jforestsx.learning.trees.LeafInstances

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  @Override
  public void init(int curLeafIndex, TreeLeafInstances treeLeafInstances, Sample trainSet) {
    this.init(curLeafIndex);
    totalWeightedCount = 0;
   
    LeafInstances leafInstances = treeLeafInstances.getLeafInstances(curLeafIndex);
    numInstancesInLeaf = leafInstances.end - leafInstances.begin;
   
    sumTargets = 0;
    for (int i = 0; i < numInstancesInLeaf; i++) {
      indices[i] = leafInstances.indices[leafInstances.begin + i];
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    return learningRate * ((numerator + Constants.EPSILON) / (denomerator + Constants.EPSILON));
  }

  @Override
  protected void adjustOutputs(Tree tree, TreeLeafInstances treeLeafInstances) {
    LeafInstances leafInstances = new LeafInstances();
    for (int l = 0; l < tree.numLeaves; l++) {
      treeLeafInstances.loadLeafInstances(l, leafInstances);
      ((RegressionTree) tree).setLeafOutput(l, getAdjustedOutput(leafInstances));
    }
  }
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    return (numerator + Constants.EPSILON) / (denomerator + Constants.EPSILON);
  }

  @Override
  protected void adjustOutputs(Tree tree, TreeLeafInstances treeLeafInstances) {
    LeafInstances leafInstances = new LeafInstances();
    for (int l = 0; l < tree.numLeaves; l++) {
      treeLeafInstances.loadLeafInstances(l, leafInstances);
      double adjustedOutput = getAdjustedOutput(leafInstances);
      ((RegressionTree) tree).setLeafOutput(l, adjustedOutput);
    }
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  @Override
  public void init(int curLeafIndex, TreeLeafInstances treeLeafInstances, Sample trainSet) {
    this.init(curLeafIndex);
    totalWeightedCount = 0;
   
    LeafInstances leafInstances = treeLeafInstances.getLeafInstances(curLeafIndex);
    numInstancesInLeaf = leafInstances.end - leafInstances.begin;
   
    Arrays.fill(targetDist, 0);
    for (int i = 0; i < numInstancesInLeaf; i++) {
      indices[i] = leafInstances.indices[leafInstances.begin + i];
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Related Classes of edu.uci.jforestsx.learning.trees.LeafInstances

  • edu.uci.jforestsx.learning.boosting.LambdaMART
  • edu.uci.jforestsx.learning.classification.GradientBoostingBinaryClassifier
  • edu.uci.jforestsx.learning.trees.decision.DecisionCandidateSplitsForLeaf
  • edu.uci.jforestsx.learning.trees.regression.RegressionCandidateSplitsForLeaf
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