Uses of Class
net.sf.myra.antree.representation.Tree

Packages that use Tree
net.sf.myra.antree   
net.sf.myra.antree.representation   
 

Uses of Tree in net.sf.myra.antree
 

Methods in net.sf.myra.antree that return Tree
 Tree Initialiser.build()
          Returns a decision tree.
 Tree Builder.build(net.sf.myra.datamining.data.Dataset dataset)
          Returns a decision tree.
 Tree Ant.getBestTree()
          Returns the best created tree.
 Tree Iteration.getTree()
          Returns the best tree of the iteration.
 Tree Ant.getTree()
          Returns the current created tree.
 Tree Pruner.prune(Tree tree, net.sf.myra.datamining.data.Dataset dataset)
          Prunes the specified tree.
 Tree LeafNodePruner.prune(Tree tree, net.sf.myra.datamining.data.Dataset dataset)
           
 Tree LeafAdjustedPruner.prune(Tree tree, net.sf.myra.datamining.data.Dataset dataset)
           
 Tree ErrorBasedPruner.prune(Tree tree, net.sf.myra.datamining.data.Dataset dataset)
          Prunes the tree based on the reduced-error pruning procedure of the C4.5 algorithm.
 Tree EntropyPruner.prune(Tree tree, net.sf.myra.datamining.data.Dataset dataset)
           
 Tree AccuracyPruner.prune(Tree tree, net.sf.myra.datamining.data.Dataset dataset)
          Prunes the tree based on the reduced-error pruning procedure of the C4.5 algorithm.
 Tree Stepper.step(net.sf.myra.datamining.data.Dataset dataset)
           
 

Methods in net.sf.myra.antree with parameters of type Tree
 int TreeComparator.compare(Tree t1, Tree t2)
          Compares the two specified tree.
 Tree Pruner.prune(Tree tree, net.sf.myra.datamining.data.Dataset dataset)
          Prunes the specified tree.
 Tree LeafNodePruner.prune(Tree tree, net.sf.myra.datamining.data.Dataset dataset)
           
 Tree LeafAdjustedPruner.prune(Tree tree, net.sf.myra.datamining.data.Dataset dataset)
           
 Tree ErrorBasedPruner.prune(Tree tree, net.sf.myra.datamining.data.Dataset dataset)
          Prunes the tree based on the reduced-error pruning procedure of the C4.5 algorithm.
 Tree EntropyPruner.prune(Tree tree, net.sf.myra.datamining.data.Dataset dataset)
           
 Tree AccuracyPruner.prune(Tree tree, net.sf.myra.datamining.data.Dataset dataset)
          Prunes the tree based on the reduced-error pruning procedure of the C4.5 algorithm.
 void MaxMinGraph.update(Tree tree)
           
 void Graph.update(Tree tree)
          Updates the pheromone values of the branches used in the specified tree.
 

Constructors in net.sf.myra.antree with parameters of type Tree
Iteration(Tree tree, int number)
          Default constructor.
 

Uses of Tree in net.sf.myra.antree.representation
 

Methods in net.sf.myra.antree.representation that return Tree
 Tree Tree.clone()
           
 



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