Classification and Regression Tree. More...

#include <shark/Models/Trees/CARTree.h>

Inheritance diagram for shark::CARTree< LabelType >:

Classes
struct	Node

Public Types
typedef base_type::BatchInputType	BatchInputType

typedef base_type::BatchOutputType	BatchOutputType

typedef std::vector< Node >	TreeType

Public Types inherited from shark::AbstractModel< RealVector, LabelType >
enum	Feature

typedef RealVector	InputType
	Defines the input type of the model. More...

typedef LabelType	OutputType
	Defines the output type of the model. More...

typedef AbstractModel< RealVector, LabelType, RealVector >	ModelBaseType
	Defines the BaseType used by the model (this type). Useful for creating derived models. More...

typedef Batch< InputType >::type	BatchInputType
	defines the batch type of the input type. More...

typedef Batch< OutputType >::type	BatchOutputType
	defines the batch type of the output type More...

typedef TypedFlags< Feature >	Features

typedef TypedFeatureNotAvailableException< Feature >	FeatureNotAvailableException

Public Types inherited from shark::IParameterizable< RealVector >
typedef RealVector	ParameterVectorType

Public Member Functions
	CARTree (std::size_t inputDimension=0)
	Constructor. More...

std::string	name () const
	From INameable: return the class name. More...

boost::shared_ptr< State >	createState () const
	Creates an internal state of the model. More...

void	eval (BatchInputType const &patterns, BatchOutputType &outputs) const
	Evaluate the Tree on a batch of patterns. More...

void	eval (BatchInputType const &patterns, BatchOutputType &outputs, State &state) const
	Standard interface for evaluating the response of the model to a batch of patterns. More...

void	eval (RealVector const &pattern, LabelType &output)
	Evaluate the Tree on a single pattern. More...

std::size_t	numberOfParameters () const
	The model does not have any parameters. More...

RealVector	parameterVector () const
	The model does not have any parameters. More...

void	setParameterVector (RealVector const &param)
	The model does not have any parameters. More...

void	read (InArchive &archive)
	from ISerializable, reads a model from an archive More...

void	write (OutArchive &archive) const
	from ISerializable, writes a model to an archive More...

UIntVector	countAttributes () const

Shape	inputShape () const
	Return input dimension. More...

Shape	outputShape () const
	Returns the shape of the output. More...

std::size_t	numberOfNodes () const

Node &	getNode (std::size_t nodeId)
	Returns the node with id nodeId. More...

Node const &	getNode (std::size_t nodeId) const
	Returns the node with id nodeId. More...

LabelType const &	getLabel (std::size_t nodeId) const

Node &	createRoot ()
	Creates and returns an untyped root node (neither internal, nor leaf node) More...

Node &	transformInternalNode (std::size_t nodeId, std::size_t attributeIndex, double attributeValue)
	Transforms an untyped node (no child, no internal node) into an internal node. More...

Node &	transformLeafNode (std::size_t nodeId, LabelType const &label)
	Transforms a node (no leaf) into a leaf node and inserts the appropriate label. More...

void	reorderBFS ()
	Reorders a tree into a breath-first-ordering. More...

Public Member Functions inherited from shark::AbstractModel< RealVector, LabelType >
	AbstractModel ()

virtual	~AbstractModel ()

const Features &	features () const

virtual void	updateFeatures ()

bool	hasFirstParameterDerivative () const
	Returns true when the first parameter derivative is implemented. More...

bool	hasFirstInputDerivative () const
	Returns true when the first input derivative is implemented. More...

virtual void	eval (InputType const &pattern, OutputType &output) const
	Standard interface for evaluating the response of the model to a single pattern. More...

Data< OutputType >	operator() (Data< InputType > const &patterns) const
	Model evaluation as an operator for a whole dataset. This is a convenience function. More...

OutputType	operator() (InputType const &pattern) const
	Model evaluation as an operator for a single pattern. This is a convenience function. More...

BatchOutputType	operator() (BatchInputType const &patterns) const
	Model evaluation as an operator for a single pattern. This is a convenience function. More...

virtual void	weightedParameterDerivative (BatchInputType const &pattern, BatchOutputType const &outputs, BatchOutputType const &coefficients, State const &state, RealVector &derivative) const
	calculates the weighted sum of derivatives w.r.t the parameters. More...

virtual void	weightedInputDerivative (BatchInputType const &pattern, BatchOutputType const &outputs, BatchOutputType const &coefficients, State const &state, BatchInputType &derivative) const
	calculates the weighted sum of derivatives w.r.t the inputs More...

virtual void	weightedDerivatives (BatchInputType const &patterns, BatchOutputType const &outputs, BatchOutputType const &coefficients, State const &state, RealVector &parameterDerivative, BatchInputType &inputDerivative) const
	calculates weighted input and parameter derivative at the same time More...

Public Member Functions inherited from shark::IParameterizable< RealVector >
virtual	~IParameterizable ()

Public Member Functions inherited from shark::INameable
virtual	~INameable ()

Public Member Functions inherited from shark::ISerializable
virtual	~ISerializable ()
	Virtual d'tor. More...

void	load (InArchive &archive, unsigned int version)
	Versioned loading of components, calls read(...). More...

void	save (OutArchive &archive, unsigned int version) const
	Versioned storing of components, calls write(...). More...

	BOOST_SERIALIZATION_SPLIT_MEMBER ()

Additional Inherited Members
Protected Attributes inherited from shark::AbstractModel< RealVector, LabelType >
Features	m_features

Detailed Description

template<class LabelType>
class shark::CARTree< LabelType >

Classification and Regression Tree.

: The CARTree predicts a class label using a decision tree

Definition at line 50 of file CARTree.h.

Member Typedef Documentation

◆ BatchInputType

template<class LabelType>

typedef base_type::BatchInputType shark::CARTree< LabelType >::BatchInputType

Definition at line 55 of file CARTree.h.

◆ BatchOutputType

template<class LabelType>

typedef base_type::BatchOutputType shark::CARTree< LabelType >::BatchOutputType

Definition at line 56 of file CARTree.h.

◆ TreeType

template<class LabelType>

typedef std::vector<Node> shark::CARTree< LabelType >::TreeType

Definition at line 72 of file CARTree.h.

Constructor & Destructor Documentation

◆ CARTree()

template<class LabelType>

shark::CARTree< LabelType >::CARTree ( std::size_t inputDimension = 0 )

inline

Constructor.

Definition at line 76 of file CARTree.h.

Member Function Documentation

◆ countAttributes()

template<class LabelType>

UIntVector shark::CARTree< LabelType >::countAttributes ( ) const

inline

Definition at line 139 of file CARTree.h.

◆ createRoot()

template<class LabelType>

Node& shark::CARTree< LabelType >::createRoot ( )

inline

Creates and returns an untyped root node (neither internal, nor leaf node)

Definition at line 183 of file CARTree.h.

◆ createState()

template<class LabelType>

boost::shared_ptr<State> shark::CARTree< LabelType >::createState ( ) const

inlinevirtual

Creates an internal state of the model.

The state is needed when the derivatives are to be calculated. Eval can store a state which is then reused to speed up the calculations of the derivatives. This also allows eval to be evaluated in parallel!

Reimplemented from shark::AbstractModel< RealVector, LabelType >.

Definition at line 82 of file CARTree.h.

◆ eval() [1/3]

template<class LabelType>

void shark::CARTree< LabelType >::eval	(	BatchInputType const &	patterns,
		BatchOutputType &	outputs
	)		const

inlinevirtual

Evaluate the Tree on a batch of patterns.

Reimplemented from shark::AbstractModel< RealVector, LabelType >.

Definition at line 88 of file CARTree.h.

Referenced by shark::CARTree< unsigned int >::eval().

◆ eval() [2/3]

template<class LabelType>

void shark::CARTree< LabelType >::eval	(	BatchInputType const &	patterns,
		BatchOutputType &	outputs,
		State &	state
	)		const

inlinevirtual

Standard interface for evaluating the response of the model to a batch of patterns.

Parameters

patterns	the inputs of the model
outputs	the predictions or response of the model to every pattern
state	intermediate results stored by eval which can be reused for derivative computation.

Implements shark::AbstractModel< RealVector, LabelType >.

Definition at line 101 of file CARTree.h.

◆ eval() [3/3]

template<class LabelType>

void shark::CARTree< LabelType >::eval	(	RealVector const &	pattern,
		LabelType &	output
	)

inline

Evaluate the Tree on a single pattern.

Definition at line 105 of file CARTree.h.

◆ getLabel()

template<class LabelType>

LabelType const& shark::CARTree< LabelType >::getLabel ( std::size_t nodeId ) const

inline

Definition at line 177 of file CARTree.h.

◆ getNode() [1/2]

template<class LabelType>

Node& shark::CARTree< LabelType >::getNode ( std::size_t nodeId )

inline

Returns the node with id nodeId.

Definition at line 167 of file CARTree.h.

Referenced by shark::CARTree< unsigned int >::reorderBFS().

◆ getNode() [2/2]

template<class LabelType>

Node const& shark::CARTree< LabelType >::getNode ( std::size_t nodeId ) const

inline

Returns the node with id nodeId.

Definition at line 172 of file CARTree.h.

◆ inputShape()

template<class LabelType>

Shape shark::CARTree< LabelType >::inputShape ( ) const

inlinevirtual

Return input dimension.

Implements shark::AbstractModel< RealVector, LabelType >.

Definition at line 151 of file CARTree.h.

◆ name()

template<class LabelType>

std::string shark::CARTree< LabelType >::name ( ) const

inlinevirtual

From INameable: return the class name.

Reimplemented from shark::INameable.

Definition at line 79 of file CARTree.h.

◆ numberOfNodes()

template<class LabelType>

std::size_t shark::CARTree< LabelType >::numberOfNodes ( ) const

inline

Definition at line 162 of file CARTree.h.

◆ numberOfParameters()

template<class LabelType>

std::size_t shark::CARTree< LabelType >::numberOfParameters ( ) const

inlinevirtual

The model does not have any parameters.

Reimplemented from shark::IParameterizable< RealVector >.

Definition at line 110 of file CARTree.h.

◆ outputShape()

template<class LabelType>

Shape shark::CARTree< LabelType >::outputShape ( ) const

inlinevirtual

Returns the shape of the output.

Implements shark::AbstractModel< RealVector, LabelType >.

Definition at line 154 of file CARTree.h.

◆ parameterVector()

template<class LabelType>

RealVector shark::CARTree< LabelType >::parameterVector ( ) const

inlinevirtual

The model does not have any parameters.

Reimplemented from shark::IParameterizable< RealVector >.

Definition at line 115 of file CARTree.h.

◆ read()

template<class LabelType>

void shark::CARTree< LabelType >::read ( InArchive & archive )

inlinevirtual

from ISerializable, reads a model from an archive

Reimplemented from shark::AbstractModel< RealVector, LabelType >.

Definition at line 125 of file CARTree.h.

◆ reorderBFS()

template<class LabelType>

void shark::CARTree< LabelType >::reorderBFS ( )

inline

Reorders a tree into a breath-first-ordering.

This function call will remove all unreachable subtrees while reordering the nodes by their depth in the tree, i.e. first comes the root, the the children of the root, than their children, etc.

Definition at line 239 of file CARTree.h.

◆ setParameterVector()

template<class LabelType>

void shark::CARTree< LabelType >::setParameterVector ( RealVector const & param )

inlinevirtual

The model does not have any parameters.

Reimplemented from shark::IParameterizable< RealVector >.

Definition at line 120 of file CARTree.h.

◆ transformInternalNode()

template<class LabelType>

Node& shark::CARTree< LabelType >::transformInternalNode	(	std::size_t	nodeId,
		std::size_t	attributeIndex,
		double	attributeValue
	)

inline

Transforms an untyped node (no child, no internal node) into an internal node.

This creates already the two childs of the node, which are untyped.

Definition at line 196 of file CARTree.h.

◆ transformLeafNode()

template<class LabelType>

Node& shark::CARTree< LabelType >::transformLeafNode	(	std::size_t	nodeId,
		LabelType const &	label
	)

inline

Transforms a node (no leaf) into a leaf node and inserts the appropriate label.

If the node was an internal node before, its connections get removed and the childs are not reachable any more. Calling a reorder routine like reorderBFS() will get rid of those nodes.

Definition at line 226 of file CARTree.h.

◆ write()

template<class LabelType>

void shark::CARTree< LabelType >::write ( OutArchive & archive ) const

inlinevirtual

from ISerializable, writes a model to an archive

Reimplemented from shark::AbstractModel< RealVector, LabelType >.

Definition at line 132 of file CARTree.h.

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

include/shark/Models/Trees/CARTree.h

Classes

Public Types

Public Member Functions

Additional Inherited Members

Detailed Description

template<class LabelType> class shark::CARTree< LabelType >

Member Typedef Documentation

◆ BatchInputType

◆ BatchOutputType

◆ TreeType

Constructor & Destructor Documentation

◆ CARTree()

Member Function Documentation

◆ countAttributes()

◆ createRoot()

◆ createState()

◆ eval() [1/3]

◆ eval() [2/3]

◆ eval() [3/3]

◆ getLabel()

◆ getNode() [1/2]

◆ getNode() [2/2]

◆ inputShape()

◆ name()

◆ numberOfNodes()

◆ numberOfParameters()

◆ outputShape()

◆ parameterVector()

◆ read()

◆ reorderBFS()

◆ setParameterVector()

◆ transformInternalNode()

◆ transformLeafNode()

◆ write()

template<class LabelType>
class shark::CARTree< LabelType >