Classifier_ls

Data Structures
class	Classifier_ls
Modules
	Classifier
Functions
	Classifier_ls::Classifier_ls (const Classifier_ls &c)
	Classifier_ls::Classifier_ls (const mat &A, const mat &B)
double	Classifier_ls::predict (const rowvec &t) const
	ecocpak::Classifier_ls::Classifier_ls (const Classifier_ls &c)
	ecocpak::Classifier_ls::Classifier_ls (const mat &A, const mat &B)
double	ecocpak::Classifier_ls::predict (const rowvec &t) const

---

Function Documentation

Classifier_ls::Classifier_ls

(

const Classifier_ls &

c

)

• Copy ctor.

• Constructor is overloaded.

• Input Arguments:
  • Reference to classifier object.

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

• User defined ctor for Least Squares classifier.

• Constructor is overloaded.

• Input Arguments:
  • A : Data matrix of class A.
  • B : Data matrix of class B.

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

• User defined ctor for Least Squares classifier.

• Constructor is overloaded.

• Input Arguments:
  • A : Data matrix of class A.
  • B : Data matrix of class B.

Classifier_ls::Classifier_ls

(

const Classifier_ls &

c

)

• Copy ctor.

• Constructor is overloaded.

• Input Arguments:
  • Reference to classifier object.

double Classifier_ls::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.

double Classifier_ls::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.