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:

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Collaboration diagram for lti::decisionTree:

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List of all members.

Classes
class	dtNode
	a simple Node for decision trees More...
class	parameters
	the parameters for the class decisionTree More...
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

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Detailed Description

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

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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

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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

Reimplemented from lti::supervisedInstanceClassifier.

Reimplemented in lti::crispDecisionTree, and lti::manualCrispDecisionTree.

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

Reimplemented from lti::supervisedInstanceClassifier.

Reimplemented in lti::crispDecisionTree, and lti::manualCrispDecisionTree.

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.

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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.

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

• ltiDecisionTree.h