shark::SvmShrinkingProblem< Problem > Struct Template Reference

#include <shark/Algorithms/QP/SvmProblems.h>

+ Inheritance diagram for shark::SvmShrinkingProblem< Problem >:

Public Types

typedef base_type::QpFloatType QpFloatType
 
typedef base_type::MatrixType MatrixType
 
typedef base_type::PreferedSelectionStrategy PreferedSelectionStrategy
 
- Public Types inherited from shark::SvmProblem< Problem >
typedef Problem::QpFloatType QpFloatType
 
typedef Problem::MatrixType MatrixType
 
typedef LibSVMSelectionCriterion PreferedSelectionStrategy
 

Public Member Functions

 SvmShrinkingProblem (Problem &problem, bool shrink=true)
 
bool shrink (double epsilon)
 
void unshrink ()
 Unshrink the problem. More...
 
void setShrinking (bool shrinking)
 
void setInitialSolution (RealVector const &alpha, RealVector const &gradient, RealVector const &gradientEdge)
 Define the initial solution for the iterative solver. More...
 
void setInitialSolution (RealVector const &alpha)
 Define the initial solution for the iterative solver. More...
 
void scaleBoxConstraints (double factor, double variableScalingFactor)
 Scales all box constraints by a constant factor and adapts the solution by scaling it by the same factor. More...
 
virtual void setLinear (std::size_t i, double newValue)
 adapts the linear part of the problem and updates the internal data structures accordingly. More...
 
- Public Member Functions inherited from shark::SvmProblem< Problem >
 SvmProblem (Problem &problem)
 
std::size_t dimensions () const
 
std::size_t active () const
 
double boxMin (std::size_t i) const
 
double boxMax (std::size_t i) const
 
bool isLowerBound (std::size_t i) const
 
bool isUpperBound (std::size_t i) const
 
MatrixTypequadratic ()
 representation of the quadratic part of the objective function More...
 
double linear (std::size_t i) const
 
double alpha (std::size_t i) const
 
double diagonal (std::size_t i) const
 
double gradient (std::size_t i) const
 
std::size_t permutation (std::size_t i) const
 
RealVector getUnpermutedAlpha () const
 
void updateSMO (std::size_t i, std::size_t j)
 Does an update of SMO given a working set with indices i and j. More...
 
double functionValue () const
 Returns the current function value of the problem. More...
 
bool shrink (double)
 
void reshrink ()
 
void unshrink ()
 
void setInitialSolution (RealVector const &alpha, RealVector const &gradient)
 Define the initial solution for the iterative solver. More...
 
void setInitialSolution (RealVector const &alpha)
 Define the initial solution for the iterative solver. More...
 
void deactivateVariable (std::size_t i)
 Remove the i-th example from the problem while taking the equality constraint into account. More...
 
void activateVariable (std::size_t i)
 Reactivate an previously deactivated variable. More...
 
void flipCoordinates (std::size_t i, std::size_t j)
 exchange two variables via the permutation More...
 
void scaleBoxConstraints (double factor, double variableScalingFactor)
 Scales all box constraints by a constant factor and adapts the solution using a separate scaling. More...
 
double checkKKT () const
 

Protected Member Functions

virtual void applyStep (std::size_t i, std::size_t j, double step)
 Update the problem by a proposed step i taking the box constraints into account. More...
 
- Protected Member Functions inherited from shark::SvmProblem< Problem >
void updateAlphaStatus (std::size_t i)
 

Additional Inherited Members

- Protected Attributes inherited from shark::SvmProblem< Problem >
Problem m_problem
 
RealVector m_gradient
 gradient of the objective function at the current alpha More...
 
std::size_t m_active
 
std::vector< char > m_alphaStatus
 Stores the status, whther alpha is on the lower or upper bound, or whether it is free. More...
 

Detailed Description

template<class Problem>
struct shark::SvmShrinkingProblem< Problem >

Definition at line 580 of file SvmProblems.h.

Member Typedef Documentation

◆ MatrixType

template<class Problem >
typedef base_type::MatrixType shark::SvmShrinkingProblem< Problem >::MatrixType

Definition at line 585 of file SvmProblems.h.

◆ PreferedSelectionStrategy

Definition at line 586 of file SvmProblems.h.

◆ QpFloatType

template<class Problem >
typedef base_type::QpFloatType shark::SvmShrinkingProblem< Problem >::QpFloatType

Definition at line 584 of file SvmProblems.h.

Constructor & Destructor Documentation

◆ SvmShrinkingProblem()

template<class Problem >
shark::SvmShrinkingProblem< Problem >::SvmShrinkingProblem ( Problem &  problem,
bool  shrink = true 
)
inline

Definition at line 588 of file SvmProblems.h.

Member Function Documentation

◆ applyStep()

template<class Problem >
virtual void shark::SvmShrinkingProblem< Problem >::applyStep ( std::size_t  i,
std::size_t  j,
double  step 
)
inlineprotectedvirtual

Update the problem by a proposed step i taking the box constraints into account.

A step length 0<=lambda<=1 is found so that boxMin(i) <= alpha(i)+lambda*step <= boxMax(i) and boxMin(j) <= alpha(j)-lambda*step <= boxMax(j) the update is performed in a numerically stable way and the internal data structures are also updated.

Reimplemented from shark::SvmProblem< Problem >.

Definition at line 743 of file SvmProblems.h.

References remora::max(), remora::min(), SIZE_CHECK, and shark::swap().

◆ scaleBoxConstraints()

template<class Problem >
void shark::SvmShrinkingProblem< Problem >::scaleBoxConstraints ( double  factor,
double  variableScalingFactor 
)
inline

Scales all box constraints by a constant factor and adapts the solution by scaling it by the same factor.

Definition at line 711 of file SvmProblems.h.

◆ setInitialSolution() [1/2]

template<class Problem >
void shark::SvmShrinkingProblem< Problem >::setInitialSolution ( RealVector const &  alpha,
RealVector const &  gradient,
RealVector const &  gradientEdge 
)
inline

Define the initial solution for the iterative solver.

This method can be used to warm-start the solver. It requires a feasible solution (alpha) and the corresponding gradient of the dual objective function.

Definition at line 667 of file SvmProblems.h.

References SHARK_ASSERT, and SIZE_CHECK.

◆ setInitialSolution() [2/2]

template<class Problem >
void shark::SvmShrinkingProblem< Problem >::setInitialSolution ( RealVector const &  alpha)
inline

Define the initial solution for the iterative solver.

This method can be used to warm-start the solver. It requires a feasible solution (alpha), for which it computes the gradient of the dual objective function. Note that this is a quadratic time operation in the number of non-zero coefficients.

Definition at line 689 of file SvmProblems.h.

References remora::noalias(), remora::vector< T >::raw_storage(), and SIZE_CHECK.

◆ setLinear()

template<class Problem >
virtual void shark::SvmShrinkingProblem< Problem >::setLinear ( std::size_t  i,
double  newValue 
)
inlinevirtual

adapts the linear part of the problem and updates the internal data structures accordingly.

Reimplemented from shark::SvmProblem< Problem >.

Definition at line 728 of file SvmProblems.h.

◆ setShrinking()

template<class Problem >
void shark::SvmShrinkingProblem< Problem >::setShrinking ( bool  shrinking)
inline

Definition at line 656 of file SvmProblems.h.

◆ shrink()

template<class Problem >
bool shark::SvmShrinkingProblem< Problem >::shrink ( double  epsilon)
inline

Definition at line 606 of file SvmProblems.h.

◆ unshrink()

template<class Problem >
void shark::SvmShrinkingProblem< Problem >::unshrink ( )
inline

Unshrink the problem.

Definition at line 629 of file SvmProblems.h.


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