Uses of Class
de.jungblut.classification.tree.DecisionTree

Packages that use DecisionTree

Package	Description
de.jungblut.classification.tree

Uses of DecisionTree in de.jungblut.classification.tree

Methods in de.jungblut.classification.tree that return DecisionTree

Modifier and Type	Method	Description
static DecisionTree	DecisionTree.create()
static DecisionTree	DecisionTree.create(FeatureType[] featureTypes)	Creates a new decision tree with the given feature types.
static DecisionTree	DecisionTree.createCompiledTree()
static DecisionTree	DecisionTree.createCompiledTree(FeatureType[] featureTypes)	Creates a new compiled decision tree with the given feature types.
static DecisionTree	DecisionTree.deserialize(java.io.DataInput in)	Reads a new tree from the given stream.
DecisionTree	DecisionTree.setCompiled(boolean compiled)	If set to true, this tree will be compiled after training time automatically.
DecisionTree	DecisionTree.setFeatureTypes(FeatureType[] featureTypes)	Sets the type of feature per index.
DecisionTree	DecisionTree.setMaxHeight(int max)	Sets the maximum height of this tree.
DecisionTree	DecisionTree.setNumRandomFeaturesToChoose(int numRandomFeaturesToChoose)	Sets the number of random features to choose from all features.Zero, negative numbers or numbers greater than the really available features indicate all features to be used.
DecisionTree	DecisionTree.setSeed(long seed)	Sets the seed for a random number generator if used.

Methods in de.jungblut.classification.tree with parameters of type DecisionTree

Modifier and Type	Method	Description
static void	DecisionTree.serialize(DecisionTree tree, java.io.DataOutput out)	Writes the given tree to the output stream.