gurls::Optimizer< T > Class Template Reference

Optimizer is a class that implements a Regularized Least Square algorithm.

#include <optimization.h>

Inheritance diagram for gurls::Optimizer< T >:

List of all members.

Public Member Functions
virtual GurlsOptionsList *	execute (const gMat2D< T > &X, const gMat2D< T > &Y, const GurlsOptionsList &opt)=0
	Implements a Regularized Least Square algorithm.
Static Public Member Functions
static Optimizer< T > *	factory (const std::string &id) throw (BadOptimizerCreation)
	Factory function returning a pointer to the newly created object.

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Detailed Description

template<typename T>
class gurls::Optimizer< T >

Definition at line 111 of file optimization.h.

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Member Function Documentation

template<typename T>

virtual GurlsOptionsList* gurls::Optimizer< T >::execute	(	const gMat2D< T > &	X,
		const gMat2D< T > &	Y,
		const GurlsOptionsList &	opt
	)		[pure virtual]

Parameters:

X	input data matrix
Y	labels matrix
opt	options with the different required fields based on the sub-class

Returns:

a GurlsOptionList

Implemented in gurls::RLSRandFeats< T >, gurls::RLSPegasos< T >, gurls::RLSGPRegr< T >, gurls::RLSPrimalRecInit< T >, gurls::RLSDualr< T >, gurls::RLSPrimalRecUpdate< T >, gurls::RLSPrimal< T >, gurls::RLSAuto< T >, gurls::RLSDual< T >, and gurls::RLSPrimalr< T >.

template<typename T>

static Optimizer<T>* gurls::Optimizer< T >::factory

(

const std::string &

id

)

throw (BadOptimizerCreation) [inline, static]

Warning:

The returned pointer is a plain, un-managed pointer. The calling function is responsible of deallocating the object.

Definition at line 130 of file optimization.h.

    {
      if(id == "rlsauto")
        return new RLSAuto<T>;
      if(id == "rlsprimal")
        return new RLSPrimal<T>;
      if(id == "rlsprimalr")
        return new RLSPrimalr<T>;
      if(id == "rlsdual")
        return new RLSDual<T>;
      if(id == "rlsdualr")
        return new RLSDualr<T>;
      if(id == "rlspegasos")
        return new RLSPegasos<T>;
      if(id == "rlsgpregr")
        return new RLSGPRegr<T>;
      if(id == "rlsprimalrecinit")
        return new RLSPrimalRecInit<T>;
      if(id == "rlsprimalrecupdate")
        return new RLSPrimalRecUpdate<T>;
      if(id == "rlsrandfeats")
        return new RLSRandFeats<T>;

        throw BadOptimizerCreation(id);
    }

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

• optimization.h