Class Tree.Builder
java.lang.Object
org.elasticsearch.client.ml.inference.trainedmodel.tree.Tree.Builder
- Enclosing class:
- Tree
public static class Tree.Builder
extends java.lang.Object
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Constructor Summary
Constructors Constructor Description Builder() -
Method Summary
Modifier and Type Method Description TreeNode.BuilderaddJunction(int nodeIndex, int featureIndex, boolean isDefaultLeft, double decisionThreshold)Add a decision node.Tree.BuilderaddLeaf(int nodeIndex, double value)Sets the node atnodeIndexto a leaf node.Tree.BuilderaddNode(TreeNode.Builder node)Treebuild()Tree.BuildersetClassificationLabels(java.util.List<java.lang.String> classificationLabels)Tree.BuildersetFeatureNames(java.util.List<java.lang.String> featureNames)Tree.BuildersetNodes(java.util.List<TreeNode.Builder> nodes)Tree.BuildersetNodes(TreeNode.Builder... nodes)Tree.BuildersetTargetType(TargetType targetType)
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Constructor Details
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Builder
public Builder()
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Method Details
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setFeatureNames
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addNode
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setNodes
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setNodes
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setTargetType
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setClassificationLabels
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addJunction
public TreeNode.Builder addJunction(int nodeIndex, int featureIndex, boolean isDefaultLeft, double decisionThreshold)Add a decision node. Space for the child nodes is allocated- Parameters:
nodeIndex- Where to place the node. This is either 0 (root) or an existing child node indexfeatureIndex- The feature index the decision is made onisDefaultLeft- Default left branch if the feature is missingdecisionThreshold- The decision threshold- Returns:
- The created node
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addLeaf
Sets the node atnodeIndexto a leaf node.- Parameters:
nodeIndex- The index as allocated by a call toaddJunction(int, int, boolean, double)value- The prediction value- Returns:
- this
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build
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