AdaBoostModel Class Reference

The model to save to disk. More...

Public Types
enum	WeakLearnerTypes {   DECISION_STUMP ,   PERCEPTRON }

Public Member Functions
	AdaBoostModel ()
	Create an empty AdaBoost model. More...
	AdaBoostModel (const arma::Col< size_t > &mappings, const size_t weakLearnerType)
	Create the AdaBoost model with the given mappings and type. More...
	AdaBoostModel (const AdaBoostModel &other)
	Copy constructor. More...
	AdaBoostModel (AdaBoostModel &&other)
	Move constructor. More...
	~AdaBoostModel ()
	Clean up memory. More...
void	Classify (const arma::mat &testData, arma::Row< size_t > &predictions)
	Classify test points. More...
void	Classify (const arma::mat &testData, arma::Row< size_t > &predictions, arma::mat &probabilities)
	Classify test points. More...
size_t	Dimensionality () const
	Get the dimensionality of the model. More...
size_t &	Dimensionality ()
	Modify the dimensionality of the model. More...
const arma::Col< size_t > &	Mappings () const
	Get the mappings. More...
arma::Col< size_t > &	Mappings ()
	Modify the mappings. More...
AdaBoostModel &	operator= (const AdaBoostModel &other)
	Copy assignment operator. More...
AdaBoostModel &	operator= (AdaBoostModel &&other)
	Move assignment operator. More...
template < typename Archive >
void	serialize (Archive &ar, const uint32_t)
	Serialize the model. More...
void	Train (const arma::mat &data, const arma::Row< size_t > &labels, const size_t numClasses, const size_t iterations, const double tolerance)
	Train the model, treat the data is all of the numeric type. More...
size_t	WeakLearnerType () const
	Get the weak learner type. More...
size_t &	WeakLearnerType ()
	Modify the weak learner type. More...

Detailed Description

The model to save to disk.

Definition at line 26 of file adaboost_model.hpp.

Member Enumeration Documentation

WeakLearnerTypes

enum WeakLearnerTypes

Enumerator
DECISION_STUMP
PERCEPTRON

Definition at line 29 of file adaboost_model.hpp.

Constructor & Destructor Documentation

AdaBoostModel() [1/4]

AdaBoostModel

(

)

Create an empty AdaBoost model.

AdaBoostModel() [2/4]

AdaBoostModel	(	const arma::Col< size_t > &	mappings,
		const size_t	weakLearnerType
	)

Create the AdaBoost model with the given mappings and type.

AdaBoostModel() [3/4]

AdaBoostModel

(

const AdaBoostModel &

other

)

Copy constructor.

AdaBoostModel() [4/4]

AdaBoostModel

(

AdaBoostModel &&

other

)

Move constructor.

~AdaBoostModel()

~AdaBoostModel

(

)

Clean up memory.

Member Function Documentation

Classify() [1/2]

void Classify	(	const arma::mat &	testData,
		arma::Row< size_t > &	predictions
	)

Classify test points.

Referenced by AdaBoostModel::Dimensionality().

Classify() [2/2]

void Classify	(	const arma::mat &	testData,
		arma::Row< size_t > &	predictions,
		arma::mat &	probabilities
	)

Classify test points.

Dimensionality() [1/2]

size_t Dimensionality ( ) const

inline

Get the dimensionality of the model.

Definition at line 81 of file adaboost_model.hpp.

Dimensionality() [2/2]

size_t& Dimensionality ( )

inline

Modify the dimensionality of the model.

Definition at line 83 of file adaboost_model.hpp.

References AdaBoostModel::Classify(), and AdaBoostModel::Train().

Mappings() [1/2]

const arma::Col<size_t>& Mappings ( ) const

inline

Get the mappings.

Definition at line 71 of file adaboost_model.hpp.

Mappings() [2/2]

arma::Col<size_t>& Mappings ( )

inline

Modify the mappings.

Definition at line 73 of file adaboost_model.hpp.

operator=() [1/2]

AdaBoostModel& operator=

(

const AdaBoostModel &

other

)

Copy assignment operator.

operator=() [2/2]

AdaBoostModel& operator=

(

AdaBoostModel &&

other

)

Move assignment operator.

serialize()

void serialize ( Archive &  ar, const uint32_t    )

inline

Serialize the model.

Definition at line 103 of file adaboost_model.hpp.

References CEREAL_POINTER.

Train()

void Train	(	const arma::mat &	data,
		const arma::Row< size_t > &	labels,
		const size_t	numClasses,
		const size_t	iterations,
		const double	tolerance
	)

Train the model, treat the data is all of the numeric type.

Referenced by AdaBoostModel::Dimensionality().

WeakLearnerType() [1/2]

size_t WeakLearnerType ( ) const

inline

Get the weak learner type.

Definition at line 76 of file adaboost_model.hpp.

WeakLearnerType() [2/2]

size_t& WeakLearnerType ( )

inline

Modify the weak learner type.

Definition at line 78 of file adaboost_model.hpp.

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

• /home/ryan/src/mlpack.org/_src/mlpack-git/src/mlpack/methods/adaboost/adaboost_model.hpp