DecisionTree Class

Classification and Regression Tree algorithms implementation [Breiman84].

Inheritance Hierarchy

SystemObject
FinMath.MachineLearningDecisionTree

Namespace: FinMath.MachineLearning
Assembly: FinMath (in FinMath.dll) Version: 2.4.7-0a995bd0ea1854c2c868ec3f8dae606c5777e170

Syntax

[SerializableAttribute]
public class DecisionTree : ISerializable, 
	IBaseClassifier

The DecisionTree type exposes the following members.

Constructors

	Name	Description
	DecisionTree	The Decision tree default constructor.
	DecisionTree(SerializationInfo, StreamingContext)	The object optimized deserialization method.
	DecisionTree(DecisionTreeBaseNode, IEnumerableInt32)	Construct decision tree from the another root node.

Properties

	Name	Description
	ClassList	List of classification values for the tree.
	Root	The tree root node.

Methods

	Name	Description
	Classify(Matrix)	Classifies the observation matrix.
	Classify(Vector)	Classifies observation vector into one of the classes.
	Classify(Matrix, IntegerArray)	Classifies the observation matrix.
	Clone	Performs object deep copy.
	Equals	Determines whether the specified object is equal to the current object. (Inherited from Object.)
	GetHashCode	Serves as the default hash function. (Inherited from Object.)
	GetObjectData	The object optimized serialization method.
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	Load	Load model from file.
	Save	Save model to file.
	ToString	Returns a string that represents the current object. (Inherited from Object.)
	Train(Matrix, IntegerArray)	The BaseClassifier interface function.
	Train(Matrix, IntegerArray, IListDecisionTreeFactorType, Vector, Double, Int32, Boolean, Boolean, Boolean, RandomGenerator)	Build the decision tree CART classifier.