CLUS::MultiDecisionTree< T_Splitter > Class Template Reference

#include <multidecisiontree.h>

Inheritance diagram for CLUS::MultiDecisionTree< T_Splitter >:

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

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Public Member Functions
	MultiDecisionTree (const Vector< int > &DDomainSize, int CsplitDim, int NoDatasets)
	~MultiDecisionTree (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.
void	printBitFlipData ()
virtual void	Identify ()
	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
MultiDecisionTreeNode< T_Splitter > *	root
const Vector< int > &	dDomainSize
	list of discrete domain sizes
int	dsplitDim
	num of discrete variables
int	csplitDim
	num of continuous+split variables
int	noDatasets
	the number of trees built and outputs produces
int	min_no_datapoints
	the minimum number of datapoints in a node to split further
int	splitType
	type of split to be passed to splitter, splitter dependent
bool	schemaMatch
bool	labeled
bool	alignSplits
ContinuousLinearTransformation *	continuousTransformer
DiscretePermutationTransformation *	discreteTransformer

template<class T_Splitter>
class CLUS::MultiDecisionTree< T_Splitter >

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Constructor & Destructor Documentation

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

Definition at line 83 of file multidecisiontree.h.

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

Definition at line 94 of file multidecisiontree.h.

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Member Function Documentation

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

Use the training data to learn a new structure. Reimplemented from CLUS::Machine. Definition at line 191 of file multidecisiontree.h.

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

Get the number of input dimensions. Reimplemented from CLUS::Machine. Definition at line 106 of file multidecisiontree.h.

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

Do the inference. Reimplemented from CLUS::Machine. Definition at line 116 of file multidecisiontree.h.

template<class T_Splitter> void CLUS::MultiDecisionTree< T_Splitter >::printBitFlipData (   )  [inline]

Definition at line 156 of file multidecisiontree.h.

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

Prune the structure. Reimplemented from CLUS::Machine. Definition at line 426 of file multidecisiontree.h.

template<class T_Splitter> virtual void CLUS::MultiDecisionTree< 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 491 of file multidecisiontree.h.

template<class T_Splitter> virtual int CLUS::MultiDecisionTree< 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 460 of file multidecisiontree.h.

template<class T_Splitter> virtual string CLUS::MultiDecisionTree< 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 111 of file multidecisiontree.h.

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Field Documentation

template<class T_Splitter> bool CLUS::MultiDecisionTree< T_Splitter >::alignSplits [protected]

Definition at line 78 of file multidecisiontree.h. Referenced by CLUS::MultiDecisionTree< T_Splitter >::Identify(), and CLUS::MultiDecisionTree< T_Splitter >::SetOption().

template<class T_Splitter> ContinuousLinearTransformation* CLUS::MultiDecisionTree< T_Splitter >::continuousTransformer [protected]

Definition at line 80 of file multidecisiontree.h. Referenced by CLUS::MultiDecisionTree< T_Splitter >::Identify(), CLUS::MultiDecisionTree< T_Splitter >::Infer(), CLUS::MultiDecisionTree< T_Splitter >::MultiDecisionTree(), CLUS::MultiDecisionTree< T_Splitter >::Prune(), CLUS::MultiDecisionTree< T_Splitter >::SaveToStream(), and CLUS::MultiDecisionTree< T_Splitter >::~MultiDecisionTree().

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

num of continuous+split variables Definition at line 65 of file multidecisiontree.h. Referenced by CLUS::MultiDecisionTree< T_Splitter >::Identify(), CLUS::MultiDecisionTree< T_Splitter >::InDim(), CLUS::MultiDecisionTree< T_Splitter >::Infer(), CLUS::MultiDecisionTree< T_Splitter >::MultiDecisionTree(), CLUS::MultiDecisionTree< T_Splitter >::printBitFlipData(), CLUS::MultiDecisionTree< T_Splitter >::Prune(), and CLUS::MultiDecisionTree< T_Splitter >::SaveToStream().

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

list of discrete domain sizes Definition at line 59 of file multidecisiontree.h. Referenced by CLUS::MultiDecisionTree< T_Splitter >::Identify(), CLUS::MultiDecisionTree< T_Splitter >::MultiDecisionTree(), and CLUS::MultiDecisionTree< T_Splitter >::SaveToStream().

template<class T_Splitter> DiscretePermutationTransformation* CLUS::MultiDecisionTree< T_Splitter >::discreteTransformer [protected]

Definition at line 81 of file multidecisiontree.h. Referenced by CLUS::MultiDecisionTree< T_Splitter >::Identify(), CLUS::MultiDecisionTree< T_Splitter >::Infer(), CLUS::MultiDecisionTree< T_Splitter >::MultiDecisionTree(), CLUS::MultiDecisionTree< T_Splitter >::Prune(), CLUS::MultiDecisionTree< T_Splitter >::SaveToStream(), and CLUS::MultiDecisionTree< T_Splitter >::~MultiDecisionTree().

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

num of discrete variables Definition at line 62 of file multidecisiontree.h. Referenced by CLUS::MultiDecisionTree< T_Splitter >::Identify(), CLUS::MultiDecisionTree< T_Splitter >::InDim(), CLUS::MultiDecisionTree< T_Splitter >::Infer(), CLUS::MultiDecisionTree< T_Splitter >::MultiDecisionTree(), CLUS::MultiDecisionTree< T_Splitter >::Prune(), and CLUS::MultiDecisionTree< T_Splitter >::SaveToStream().

template<class T_Splitter> bool CLUS::MultiDecisionTree< T_Splitter >::labeled [protected]

Definition at line 77 of file multidecisiontree.h. Referenced by CLUS::MultiDecisionTree< T_Splitter >::Identify(), and CLUS::MultiDecisionTree< T_Splitter >::SetOption().

template<class T_Splitter> int CLUS::MultiDecisionTree< T_Splitter >::min_no_datapoints [protected]

the minimum number of datapoints in a node to split further Definition at line 71 of file multidecisiontree.h. Referenced by CLUS::MultiDecisionTree< T_Splitter >::Identify(), and CLUS::MultiDecisionTree< T_Splitter >::MultiDecisionTree().

template<class T_Splitter> int CLUS::MultiDecisionTree< T_Splitter >::noDatasets [protected]

the number of trees built and outputs produces Definition at line 68 of file multidecisiontree.h. Referenced by CLUS::MultiDecisionTree< T_Splitter >::Identify(), CLUS::MultiDecisionTree< T_Splitter >::Infer(), CLUS::MultiDecisionTree< T_Splitter >::MultiDecisionTree(), CLUS::MultiDecisionTree< T_Splitter >::printBitFlipData(), and CLUS::MultiDecisionTree< T_Splitter >::SaveToStream().

template<class T_Splitter> MultiDecisionTreeNode< T_Splitter >* CLUS::MultiDecisionTree< T_Splitter >::root [protected]

Definition at line 56 of file multidecisiontree.h. Referenced by CLUS::MultiDecisionTree< T_Splitter >::Identify(), CLUS::MultiDecisionTree< T_Splitter >::Infer(), CLUS::MultiDecisionTree< T_Splitter >::printBitFlipData(), CLUS::MultiDecisionTree< T_Splitter >::Prune(), CLUS::MultiDecisionTree< T_Splitter >::SaveToStream(), and CLUS::MultiDecisionTree< T_Splitter >::~MultiDecisionTree().

template<class T_Splitter> bool CLUS::MultiDecisionTree< T_Splitter >::schemaMatch [protected]

Definition at line 76 of file multidecisiontree.h. Referenced by CLUS::MultiDecisionTree< T_Splitter >::Identify(), and CLUS::MultiDecisionTree< T_Splitter >::SetOption().

template<class T_Splitter> int CLUS::MultiDecisionTree< T_Splitter >::splitType [protected]

type of split to be passed to splitter, splitter dependent Definition at line 74 of file multidecisiontree.h. Referenced by CLUS::MultiDecisionTree< T_Splitter >::Identify(), and CLUS::MultiDecisionTree< T_Splitter >::MultiDecisionTree().

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

• multidecisiontree.h

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