MKLMultiClassOptimizationBase Class Reference

---

Detailed Description

MKLMultiClassOptimizationBase is a helper class for MKLMultiClass.

it is a virtual base class for MKLMultiClassGLPK and MKLMultiClassGradient which are instances of optimization

Definition at line 25 of file MKLMultiClassOptimizationBase.h.

Inheritance diagram for MKLMultiClassOptimizationBase:

List of all members.

Public Member Functions
	MKLMultiClassOptimizationBase ()
virtual	~MKLMultiClassOptimizationBase ()
virtual void	setup (const int32_t numkernels2)
virtual void	addconstraint (const ::std::vector< float64_t > &normw2, const float64_t sumofpositivealphas)
virtual void	computeweights (std::vector< float64_t > &weights2)
virtual const char *	get_name () const
virtual void	set_mkl_norm (float64_t norm)

---

Constructor & Destructor Documentation

MKLMultiClassOptimizationBase

(

)

Class default Constructor

Definition at line 15 of file MKLMultiClassOptimizationBase.cpp.

~MKLMultiClassOptimizationBase

(

)

[virtual]

Class default Destructor

Definition at line 19 of file MKLMultiClassOptimizationBase.cpp.

---

Member Function Documentation

void addconstraint	(	const ::std::vector< float64_t > &	normw2,
		const float64_t	sumofpositivealphas
	)			[virtual]

adds a constraint to the LP arising in L1 MKL based on two parameters

Parameters:

	normw2	is the vector of for all kernels
	sumofpositivealphas	is a term depending on alphas, labels and biases, see in the function float64_t getsumofsignfreealphas() from MKLMultiClass.h, it depends on the formulation of the underlying GMNPSVM.

Reimplemented in MKLMultiClassGLPK, and MKLMultiClassGradient.

Definition at line 38 of file MKLMultiClassOptimizationBase.cpp.

void computeweights

(

std::vector< float64_t > &

weights2

)

[virtual]

computes MKL weights

Parameters:

weights2

stores the new weights

Reimplemented in MKLMultiClassGLPK, and MKLMultiClassGradient.

Definition at line 47 of file MKLMultiClassOptimizationBase.cpp.

virtual const char* get_name

(

void

)

const [virtual]

Returns:

object name

Implements CSGObject.

Reimplemented in MKLMultiClassGLPK, and MKLMultiClassGradient.

Definition at line 64 of file MKLMultiClassOptimizationBase.h.

void set_mkl_norm

(

float64_t

norm

)

[virtual]

sets p-norm parameter for MKL

Parameters:

norm

the MKL norm

Reimplemented in MKLMultiClassGradient.

Definition at line 32 of file MKLMultiClassOptimizationBase.cpp.

void setup

(

const int32_t

numkernels2

)

[virtual]

initializes solver

Parameters:

numkernels2

is the number of kernels

Reimplemented in MKLMultiClassGLPK, and MKLMultiClassGradient.

Definition at line 26 of file MKLMultiClassOptimizationBase.cpp.

---

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

• MKLMultiClassOptimizationBase.h
• MKLMultiClassOptimizationBase.cpp