C# Класс Accord.MachineLearning.DecisionTrees.Pruning.ErrorBasedPruning

Error-based pruning.

References: Lior Rokach, Oded Maimon. The Data Mining and Knowledge Discovery Handbook, Chapter 9, Decision Trees. Springer, 2nd ed. 2010, XX, 1285 p. 40 illus. Available at: http://www.ise.bgu.ac.il/faculty/liorr/hbchap9.pdf .

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Открытые методы

Метод	Описание
ErrorBasedPruning ( DecisionTree tree, double inputs, int outputs ) : System	Initializes a new instance of the ErrorBasedPruning class.
Run ( ) : double	Computes one pass of the pruning algorithm.

Приватные методы

Метод	Описание
compute ( DecisionNode node ) : bool	Attempts to prune a node's subtrees.
computeError ( ) : double
computeErrorReplacingSubtrees ( DecisionNode tree, DecisionNode child ) : double
computeErrorWithoutSubtree ( DecisionNode tree, int mostCommon ) : double
getMaxChild ( DecisionNode tree ) : DecisionNode
trackDecisions ( DecisionNode root, double input, int index ) : void
upperBound ( double error, int size ) : double

Описание методов

ErrorBasedPruning() публичный Метод

Initializes a new instance of the ErrorBasedPruning class.

public ErrorBasedPruning ( DecisionTree tree, double inputs, int outputs ) : System
tree	DecisionTree	The tree to be pruned.
inputs	double	The pruning set inputs.
outputs	int	The pruning set outputs.
Результат	System

Run() публичный Метод

Computes one pass of the pruning algorithm.

public Run ( ) : double
Результат	double