CLUS::BinaryDecisionTree< T_Splitter > Class Template Reference

Implements the binary decision tree. More...

#include <binarydecisiontree.h>

Inheritance diagram for CLUS::BinaryDecisionTree< T_Splitter >:

[legend]Collaboration diagram for CLUS::BinaryDecisionTree< T_Splitter >:

[legend]

Public Member Functions
	BinaryDecisionTree (const Vector< int > &DDomainSize, int CsplitDim)
	~BinaryDecisionTree (void)
virtual int	InDim (void)
	Get the number of input dimensions.
virtual string	TypeName (void)
	Get the type of this object.
virtual void	Infer (void)
	Do the inference.
virtual void	Identify (void)
	Use the training data to learn a new structure.
virtual void	Prune (void)
	Prune the structure.
virtual int	SetOption (char *name, char *val)
	Set an option for the machine.
virtual void	SaveToStream (ostream &out)
	Output the structure data to a stream.
Protected Attributes
BinaryDecisionTreeNode< T_Splitter > *	root
const Vector< int > &	dDomainSize
	vector of discrete domain sizes
int	dsplitDim
	number of discrete split variables
int	csplitDim
	number of continuous split variables
int	minMass
	the minimum mass (sum of weights) to continue splitting

---

Detailed Description

template<class T_Splitter>
class CLUS::BinaryDecisionTree< T_Splitter >

Implements the binary decision tree.

Definition at line 49 of file binarydecisiontree.h.

---

Constructor & Destructor Documentation

template<class T_Splitter> CLUS::BinaryDecisionTree< T_Splitter >::BinaryDecisionTree (  const Vector< int > &  DDomainSize, int  CsplitDim )  [inline]

Definition at line 67 of file binarydecisiontree.h.

template<class T_Splitter> CLUS::BinaryDecisionTree< T_Splitter >::~BinaryDecisionTree (  void   )  [inline]

Definition at line 77 of file binarydecisiontree.h.

---

Member Function Documentation

template<class T_Splitter> virtual void CLUS::BinaryDecisionTree< T_Splitter >::Identify (  void   )  [inline, virtual]

Use the training data to learn a new structure. Reimplemented from CLUS::Machine. Definition at line 113 of file binarydecisiontree.h.

template<class T_Splitter> virtual int CLUS::BinaryDecisionTree< T_Splitter >::InDim (  void   )  [inline, virtual]

Get the number of input dimensions. Reimplemented from CLUS::Machine. Definition at line 83 of file binarydecisiontree.h.

template<class T_Splitter> virtual void CLUS::BinaryDecisionTree< T_Splitter >::Infer (  void   )  [inline, virtual]

Do the inference. Reimplemented from CLUS::Machine. Definition at line 93 of file binarydecisiontree.h.

template<class T_Splitter> virtual void CLUS::BinaryDecisionTree< T_Splitter >::Prune (  void   )  [inline, virtual]

Prune the structure. Reimplemented from CLUS::Machine. Definition at line 145 of file binarydecisiontree.h.

template<class T_Splitter> virtual void CLUS::BinaryDecisionTree< T_Splitter >::SaveToStream (  ostream &  out  )  [inline, virtual]

Output the structure data to a stream. Parameters: out  stream for output Reimplemented from CLUS::Machine. Definition at line 176 of file binarydecisiontree.h.

template<class T_Splitter> virtual int CLUS::BinaryDecisionTree< T_Splitter >::SetOption (  char *  name, char *  val )  [inline, virtual]

Set an option for the machine. Parameters: name  name of option to be set val  value of option Reimplemented from CLUS::Machine. Definition at line 167 of file binarydecisiontree.h.

template<class T_Splitter> virtual string CLUS::BinaryDecisionTree< T_Splitter >::TypeName (  void   )  [inline, virtual]

Get the type of this object. Returns: name of object type as a string Reimplemented from CLUS::Machine. Definition at line 88 of file binarydecisiontree.h. Referenced by CLUS::BinaryDecisionTree< T_Splitter >::SaveToStream().

---

Field Documentation

template<class T_Splitter> int CLUS::BinaryDecisionTree< T_Splitter >::csplitDim [protected]

number of continuous split variables Definition at line 61 of file binarydecisiontree.h. Referenced by CLUS::BinaryDecisionTree< T_Splitter >::BinaryDecisionTree(), CLUS::BinaryDecisionTree< T_Splitter >::Identify(), CLUS::BinaryDecisionTree< T_Splitter >::InDim(), CLUS::BinaryDecisionTree< T_Splitter >::Infer(), and CLUS::BinaryDecisionTree< T_Splitter >::SaveToStream().

template<class T_Splitter> const Vector<int>& CLUS::BinaryDecisionTree< T_Splitter >::dDomainSize [protected]

vector of discrete domain sizes Definition at line 55 of file binarydecisiontree.h. Referenced by CLUS::BinaryDecisionTree< T_Splitter >::BinaryDecisionTree(), CLUS::BinaryDecisionTree< T_Splitter >::Identify(), and CLUS::BinaryDecisionTree< T_Splitter >::SaveToStream().

template<class T_Splitter> int CLUS::BinaryDecisionTree< T_Splitter >::dsplitDim [protected]

number of discrete split variables Definition at line 58 of file binarydecisiontree.h. Referenced by CLUS::BinaryDecisionTree< T_Splitter >::BinaryDecisionTree(), CLUS::BinaryDecisionTree< T_Splitter >::Identify(), CLUS::BinaryDecisionTree< T_Splitter >::InDim(), CLUS::BinaryDecisionTree< T_Splitter >::Infer(), CLUS::BinaryDecisionTree< T_Splitter >::Prune(), and CLUS::BinaryDecisionTree< T_Splitter >::SaveToStream().

template<class T_Splitter> int CLUS::BinaryDecisionTree< T_Splitter >::minMass [protected]

the minimum mass (sum of weights) to continue splitting Definition at line 64 of file binarydecisiontree.h. Referenced by CLUS::BinaryDecisionTree< T_Splitter >::BinaryDecisionTree(), CLUS::BinaryDecisionTree< T_Splitter >::Identify(), and CLUS::BinaryDecisionTree< T_Splitter >::SetOption().

template<class T_Splitter> BinaryDecisionTreeNode< T_Splitter >* CLUS::BinaryDecisionTree< T_Splitter >::root [protected]

Definition at line 52 of file binarydecisiontree.h. Referenced by CLUS::BinaryDecisionTree< T_Splitter >::BinaryDecisionTree(), CLUS::BinaryDecisionTree< T_Splitter >::Identify(), CLUS::BinaryDecisionTree< T_Splitter >::Infer(), CLUS::BinaryDecisionTree< T_Splitter >::Prune(), CLUS::BinaryDecisionTree< T_Splitter >::SaveToStream(), and CLUS::BinaryDecisionTree< T_Splitter >::~BinaryDecisionTree().

---

The documentation for this class was generated from the following file:

• binarydecisiontree.h

---