object Tree extends DecisionTree
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- def add(n: Node, vc: (Int, Node)*): Unit
Add multiple child nodes to the tree via branchs from node 'n'.
Add multiple child nodes to the tree via branchs from node 'n'.
- n
the parent node
- vc
the branch value and child node, repeatable
- Definition Classes
- DecisionTree
- def add(n: Node, v: Int, c: Node): Unit
Add child node 'c' to the tree via branch 'v' from node 'n'.
Add child node 'c' to the tree via branch 'v' from node 'n'.
- n
the parent node
- v
the branch value from the parent node
- c
the child node
- Definition Classes
- DecisionTree
- def addRoot(r: Node): Unit
Add the root node to the tree.
- final def asInstanceOf[T0]: T0
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- Any
- def calcEntropy(nodes: ArrayBuffer[Node] = leaves): Double
Calculate the entropy of the tree as the weighted average over the list of nodes (defualts to leaves).
Calculate the entropy of the tree as the weighted average over the list of nodes (defualts to leaves).
- nodes
the nodes to compute the weighted entropy over
- Definition Classes
- DecisionTree
- def classify2(z: VectoD): Int
Given a data vector z, classify it returning the class number (0, ..., k-1) by following a decision path from the root to a leaf.
Given a data vector z, classify it returning the class number (0, ..., k-1) by following a decision path from the root to a leaf. If no branch found, give maximal decision of current node. Return the best class and its name.
- z
the data vector to classify
- Definition Classes
- DecisionTree
- def classify2(z: VectoI): Int
Given a data vector z, classify it returning the class number (0, ..., k-1) by following a decision path from the root to a leaf.
Given a data vector z, classify it returning the class number (0, ..., k-1) by following a decision path from the root to a leaf. If no branch found, give maximal decision of current node. Return the best class and its name.
- z
the data vector to classify
- Definition Classes
- DecisionTree
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- def makeLeaf(n: Node): Unit
As part of tree pruning, turn an internal node into a leaf.
As part of tree pruning, turn an internal node into a leaf.
- n
the node to turn into a leaf (pruning all nodes below it)
- Definition Classes
- DecisionTree
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- def printTree(): Unit
Print the decision tree using 'prinT' method from
Nodeclass.Print the decision tree using 'prinT' method from
Nodeclass.- Definition Classes
- DecisionTree
- def reset(): Unit
Reset or re-initialize counters, if needed.
Reset or re-initialize counters, if needed.
- Definition Classes
- DecisionTree
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