Classifier_adaBoost

Data Structures
class	Classifier_weak
class	Classifier_adaBoost
Modules
	Classifier
Functions
	Classifier_weak::Classifier_weak (const Classifier_weak &c)
	Classifier_weak::Classifier_weak (u32 fea, double theta, int p, double alpha)
	Classifier_adaBoost::Classifier_adaBoost (const Classifier_adaBoost &c)
	Classifier_adaBoost::Classifier_adaBoost (const mat &A, const mat &B)
double	Classifier_adaBoost::predict (const rowvec &t) const
	ecocpak::Classifier_weak::Classifier_weak (const Classifier_weak &c)
	ecocpak::Classifier_weak::Classifier_weak (u32 fea, double theta, int p, double alpha)
	ecocpak::Classifier_adaBoost::Classifier_adaBoost (const Classifier_adaBoost &c)
	ecocpak::Classifier_adaBoost::Classifier_adaBoost (const mat &A, const mat &B)
double	ecocpak::Classifier_adaBoost::predict (const rowvec &t) const

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Function Documentation

Classifier_adaBoost::Classifier_adaBoost

(

const Classifier_adaBoost &

c

)

• Copy ctor.

• Constructor is overloaded.

• Input Arguments:
  • Reference to classifier object.

Classifier_adaBoost::Classifier_adaBoost	(	const mat &	A,
		const mat &	B
	)

• User defined ctor for AdaBoost classifier.

• Constructor is overloaded.

• Input Arguments:
  • A : Data matrix of class A.
  • B : Data matrix of class B.
  • nc : Number of base classifiers.

Classifier_adaBoost::Classifier_adaBoost

(

const Classifier_adaBoost &

c

)

• Copy ctor.

• Constructor is overloaded.

• Input Arguments:
  • Reference to classifier object.

Classifier_adaBoost::Classifier_adaBoost	(	const mat &	A,
		const mat &	B
	)

• User defined ctor for AdaBoost classifier.

• Constructor is overloaded.

• Input Arguments:
  • A : Data matrix of class A.
  • B : Data matrix of class B.
  • nc : Number of base classifiers.

Classifier_weak::Classifier_weak	(	u32	_fea,
		double	_theta,
		int	_p,
		double	_alpha
	)

• User defined ctor for weak classifier.

• Constructor is overloaded.

• Input Arguments:
  • A : Data matrix of class A.
  • B : Data matrix of class B.
  • W : Weights vector for class B.

Classifier_weak::Classifier_weak

(

const Classifier_weak &

c

)

• Copy ctor.

• Constructor is overloaded.

• Input Arguments:
  • Reference to classifier object.

Classifier_weak::Classifier_weak	(	u32	_fea,
		double	_theta,
		int	_p,
		double	_alpha
	)

• User defined ctor for weak classifier.

• Constructor is overloaded.

• Input Arguments:
  • A : Data matrix of class A.
  • B : Data matrix of class B.
  • W : Weights vector for class B.

Classifier_weak::Classifier_weak

(

const Classifier_weak &

c

)

• Copy ctor.

• Constructor is overloaded.

• Input Arguments:
  • Reference to classifier object.

double Classifier_adaBoost::predict

(

const rowvec &

t

)

const [inline, virtual]

• Returns prediction value of classifier for input test feature vector.

• Input Arguments:
  • t : Test feature vector.

• Output Arguments:
  • Void.

• Return Argument:
  • Prediction value of classifier for input test feature.

Implements ecocpak::Classifier.

double Classifier_adaBoost::predict

(

const rowvec &

t

)

const [inline, virtual]

• Returns prediction value of classifier for input test feature vector.

• Input Arguments:
  • t : Test feature vector.

• Output Arguments:
  • Void.

• Return Argument:
  • Prediction value of classifier for input test feature.

Implements Classifier.