latest version v1.9 - last update 24 Nov 2005

lti::decisionTree Class Reference

This is the base class for all decision trees in the LTI-Lib. More...

#include <ltiDecisionTree.h>

Inheritance diagram for lti::decisionTree:

[legend]Collaboration diagram for lti::decisionTree:

[legend]List of all members.

Public Member Functions
	decisionTree ()
	decisionTree (const decisionTree &other)
virtual	~decisionTree ()
virtual const char *	getTypeName () const
decisionTree &	copy (const decisionTree &other)
decisionTree &	operator= (const decisionTree &other)
const parameters &	getParameters () const
virtual bool	write (ioHandler &handler, const bool complete=true) const
virtual bool	read (ioHandler &handler, const bool complete=true)
Static Protected Attributes
static const dtNode *	nodeArray []
static const objectFactory< dtNode >	nodeFactory
Classes
class	dtNode
	a simple Node for decision trees More...
class	parameters
	the parameters for the class decisionTree More...

---

Detailed Description

This is the base class for all decision trees in the LTI-Lib.

---

Constructor & Destructor Documentation

lti::decisionTree::decisionTree (   )

default constructor

lti::decisionTree::decisionTree (  const decisionTree &  other  )

copy constructor Parameters: other  the object to be copied

virtual lti::decisionTree::~decisionTree (   )  [virtual]

destructor

---

Member Function Documentation

decisionTree& lti::decisionTree::copy (  const decisionTree &  other  )

copy data of "other" classifier. Parameters: other  the classifier to be copied Returns: a reference to this classifier object

const parameters& lti::decisionTree::getParameters (   )  const

returns used parameters Reimplemented from lti::supervisedInstanceClassifier. Reimplemented in lti::crispDecisionTree, and lti::manualCrispDecisionTree.

virtual const char* lti::decisionTree::getTypeName (   )  const [virtual]

returns the name of this type ("decisionTree") Reimplemented from lti::supervisedInstanceClassifier. Reimplemented in lti::crispDecisionTree, and lti::manualCrispDecisionTree.

decisionTree& lti::decisionTree::operator= (  const decisionTree &  other  )

alias for copy member Parameters: other  the classifier to be copied Returns: a reference to this classifier object

virtual bool lti::decisionTree::read (  ioHandler &  handler, const bool  complete = true )  [virtual]

read the parameters from the given ioHandler Parameters: handler  the ioHandler to be used complete  if true (the default) the enclosing begin/end will be also written, otherwise only the data block will be written. Returns: true if write was successful Reimplemented from lti::classifier. Reimplemented in lti::crispDecisionTree.

virtual bool lti::decisionTree::write (  ioHandler &  handler, const bool  complete = true )  const [virtual]

write the parameters in the given ioHandler Parameters: handler  the ioHandler to be used complete  if true (the default) the enclosing begin/end will be also written, otherwise only the data block will be written. Returns: true if write was successful Reimplemented from lti::classifier. Reimplemented in lti::crispDecisionTree.

---

Member Data Documentation

const dtNode* lti::decisionTree::nodeArray[] [static, protected]

The array of all dtNodes.

const objectFactory<dtNode> lti::decisionTree::nodeFactory [static, protected]

The objectFactory for all types of dtNodes.

---

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

• ltiDecisionTree.h

---