edu.uci.jforests.learning.trees.decision
Class DecisionCandidateSplitsForLeaf
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- edu.uci.jforests.learning.trees.CandidateSplitsForLeaf
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- edu.uci.jforests.learning.trees.decision.DecisionCandidateSplitsForLeaf
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public class DecisionCandidateSplitsForLeaf extends CandidateSplitsForLeaf
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Constructor Summary
Constructors Constructor and Description DecisionCandidateSplitsForLeaf(int numFeatures, int numInstances, int numClasses)
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method and Description double[]getTargetDist()voidinit(int curLeafIndex, TreeLeafInstances treeLeafInstances, Sample trainSet)-
Methods inherited from class edu.uci.jforests.learning.trees.CandidateSplitsForLeaf
getBestFeature, getBestFeature, getFeatureSplit, getIndices, getLeafIndex, getNumInstancesInLeaf, getTargets, getTotalWeightedCount, getWeights, init
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Constructor Detail
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DecisionCandidateSplitsForLeaf
public DecisionCandidateSplitsForLeaf(int numFeatures, int numInstances, int numClasses)
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Method Detail
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getTargetDist
public double[] getTargetDist()
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init
public void init(int curLeafIndex, TreeLeafInstances treeLeafInstances, Sample trainSet)- Specified by:
initin classCandidateSplitsForLeaf
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