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itk::Statistics::MaximumRatioDecisionRule Class Reference
Module ITKStatistics

#include <itkMaximumRatioDecisionRule.h>

+ Inheritance diagram for itk::Statistics::MaximumRatioDecisionRule:
+ Collaboration diagram for itk::Statistics::MaximumRatioDecisionRule:

Detailed Description

A decision rule that operates as a frequentist's approximation to Bayes rule.

MaximumRatioDecisionRule returns the class label using a Bayesian style decision rule. The discriminant scores are evaluated in the context of class priors. If the discriminant scores are actual conditional probabilites (likelihoods) and the class priors are actual a priori class probabilities, then this decision rule operates as Bayes rule, returning the class $i$ if $p(x|i) p(i) > p(x|j) p(j)$ for all class $j$. The discriminant scores and priors are not required to be true probabilities.

This class is named the MaximumRatioDecisionRule as it can be implemented as returning the class $i$ if $\frac{p(x|i)}{p(x|j)} > \frac{p(j)}{p(i)}$ for all class $j$.

A priori values need to be set before calling the Evaluate method. If they are not set, a uniform prior is assumed.

See Also
MaximumDecisionRule, MinimumDecisionRule
Examples:
Examples/Statistics/BayesianPluginClassifier.cxx, and Examples/Statistics/MaximumRatioDecisionRule.cxx.

Definition at line 58 of file itkMaximumRatioDecisionRule.h.

Public Types

typedef
Superclass::ClassIdentifierType 		ClassIdentifierType
 
typedef
Superclass::MembershipValueType 		MembershipValueType
 
typedef
Superclass::MembershipVectorType 		MembershipVectorType
 
typedef SmartPointer< Self > Pointer
 
typedef MembershipValueType PriorProbabilityValueType
 
typedef
PriorProbabilityVectorType::size_type 		PriorProbabilityVectorSizeType
 
typedef std::vector
< PriorProbabilityValueType > 		PriorProbabilityVectorType
 
typedef MaximumRatioDecisionRule Self
 
typedef DecisionRule Superclass
 
- Public Types inherited from itk::Statistics::DecisionRule
typedef
MembershipVectorType::size_type 		ClassIdentifierType
 
typedef SmartPointer< const Self > ConstPointer
 
typedef double MembershipValueType
 
typedef std::vector
< MembershipValueType > 		MembershipVectorType
 
typedef SmartPointer< Self > Pointer
 
typedef DecisionRule Self
 
typedef Object Superclass
 
- Public Types inherited from itk::Object
typedef SmartPointer< const Self > ConstPointer
 
typedef SmartPointer< Self > Pointer
 
typedef Object Self
 
typedef LightObject Superclass
 
- Public Types inherited from itk::LightObject
typedef SmartPointer< const Self > ConstPointer
 
typedef SmartPointer< Self > Pointer
 
typedef LightObject Self
 

Public Member Functions

virtual ::itk::LightObject::Pointer CreateAnother () const
 
virtual ClassIdentifierType Evaluate (const MembershipVectorType &discriminantScores) const override
 
virtual const char * GetNameOfClass () const
 
virtual const
PriorProbabilityVectorType & 		GetPriorProbabilities () const
 
void SetPriorProbabilities (const PriorProbabilityVectorType &p)
 
- Public Member Functions inherited from itk::Object
unsigned long AddObserver (const EventObject &event, Command *)
 
unsigned long AddObserver (const EventObject &event, Command *) const
 
virtual void DebugOff () const
 
virtual void DebugOn () const
 
Command * GetCommand (unsigned long tag)
 
bool GetDebug () const
 
MetaDataDictionary & GetMetaDataDictionary ()
 
const MetaDataDictionary & GetMetaDataDictionary () const
 
virtual ModifiedTimeType GetMTime () const
 
virtual const TimeStamp & GetTimeStamp () const
 
bool HasObserver (const EventObject &event) const
 
void InvokeEvent (const EventObject &)
 
void InvokeEvent (const EventObject &) const
 
virtual void Modified () const
 
virtual void Register () const override
 
void RemoveAllObservers ()
 
void RemoveObserver (unsigned long tag)
 
void SetDebug (bool debugFlag) const
 
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
 
virtual void SetReferenceCount (int) override
 
virtual void UnRegister () const noexceptoverride
 
virtual void SetObjectName (std::string _arg)
 
virtual const std::string & GetObjectName () const
 
- Public Member Functions inherited from itk::LightObject
virtual void Delete ()
 
virtual int GetReferenceCount () const
 
 itkCloneMacro (Self)
 
void Print (std::ostream &os, Indent indent=0) const
 

Static Public Member Functions

static Pointer New ()
 
- Static Public Member Functions inherited from itk::Object
static bool GetGlobalWarningDisplay ()
 
static void GlobalWarningDisplayOff ()
 
static void GlobalWarningDisplayOn ()
 
static Pointer New ()
 
static void SetGlobalWarningDisplay (bool flag)
 
- Static Public Member Functions inherited from itk::LightObject
static void BreakOnError ()
 
static Pointer New ()
 

Protected Member Functions

 MaximumRatioDecisionRule ()
 
virtual void PrintSelf (std::ostream &os, Indent indent) const override
 
virtual ~MaximumRatioDecisionRule ()
 
- Protected Member Functions inherited from itk::Statistics::DecisionRule
 DecisionRule ()
 
virtual ~DecisionRule ()
 
- Protected Member Functions inherited from itk::Object
 Object ()
 
bool PrintObservers (std::ostream &os, Indent indent) const
 
virtual void SetTimeStamp (const TimeStamp &time)
 
virtual ~Object ()
 
- Protected Member Functions inherited from itk::LightObject
virtual LightObject::Pointer InternalClone () const
 
 LightObject ()
 
virtual void PrintHeader (std::ostream &os, Indent indent) const
 
virtual void PrintTrailer (std::ostream &os, Indent indent) const
 
virtual ~LightObject ()
 

Private Member Functions

 MaximumRatioDecisionRule (const Self &)
 
void operator= (const Self &)
 

Private Attributes

PriorProbabilityVectorType m_PriorProbabilities
 

Additional Inherited Members

- Protected Attributes inherited from itk::LightObject
AtomicInt< int > m_ReferenceCount
 

Member Typedef Documentation

typedef Superclass::ClassIdentifierType itk::Statistics::MaximumRatioDecisionRule::ClassIdentifierType

Types for class identifiers.

Definition at line 77 of file itkMaximumRatioDecisionRule.h.

typedef Superclass::MembershipValueType itk::Statistics::MaximumRatioDecisionRule::MembershipValueType

Types for discriminant values and vectors.

Definition at line 70 of file itkMaximumRatioDecisionRule.h.

typedef Superclass::MembershipVectorType itk::Statistics::MaximumRatioDecisionRule::MembershipVectorType

Definition at line 74 of file itkMaximumRatioDecisionRule.h.

typedef SmartPointer< Self > itk::Statistics::MaximumRatioDecisionRule::Pointer

Definition at line 64 of file itkMaximumRatioDecisionRule.h.

typedef MembershipValueType itk::Statistics::MaximumRatioDecisionRule::PriorProbabilityValueType

Types for priors and values

Definition at line 80 of file itkMaximumRatioDecisionRule.h.

typedef PriorProbabilityVectorType::size_type itk::Statistics::MaximumRatioDecisionRule::PriorProbabilityVectorSizeType

Definition at line 82 of file itkMaximumRatioDecisionRule.h.

typedef std::vector< PriorProbabilityValueType > itk::Statistics::MaximumRatioDecisionRule::PriorProbabilityVectorType

Definition at line 81 of file itkMaximumRatioDecisionRule.h.

typedef MaximumRatioDecisionRule itk::Statistics::MaximumRatioDecisionRule::Self

Standard class typedefs

Definition at line 62 of file itkMaximumRatioDecisionRule.h.

typedef DecisionRule itk::Statistics::MaximumRatioDecisionRule::Superclass

Definition at line 63 of file itkMaximumRatioDecisionRule.h.

Constructor & Destructor Documentation

itk::Statistics::MaximumRatioDecisionRule::MaximumRatioDecisionRule ( )
protected
virtual itk::Statistics::MaximumRatioDecisionRule::~MaximumRatioDecisionRule ( )
inlineprotectedvirtual

Definition at line 104 of file itkMaximumRatioDecisionRule.h.

itk::Statistics::MaximumRatioDecisionRule::MaximumRatioDecisionRule ( const Self &  )
private

Member Function Documentation

virtual::itk::LightObject::Pointer itk::Statistics::MaximumRatioDecisionRule::CreateAnother ( ) const
virtual

Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.

Reimplemented from itk::Object.

virtual ClassIdentifierType itk::Statistics::MaximumRatioDecisionRule::Evaluate ( const MembershipVectorType &  discriminantScores) const
overridevirtual

Evaluate the decision rule $p(x|i) p(i) > p(x|j) p(j)$. Prior probabilities need to be set before calling Evaluate() using the SetPriorProbabilities() method (otherwise a uniform prior is assumed). Parameter to Evaluate() is the discriminant score in the form of a likelihood $p(x|i)$.

Implements itk::Statistics::DecisionRule.

virtual const char* itk::Statistics::MaximumRatioDecisionRule::GetNameOfClass ( ) const
virtual

Run-time type information (and related methods)

Reimplemented from itk::Statistics::DecisionRule.

virtual const PriorProbabilityVectorType& itk::Statistics::MaximumRatioDecisionRule::GetPriorProbabilities ( ) const
virtual

Get the prior probabilities.

static Pointer itk::Statistics::MaximumRatioDecisionRule::New ( )
static

Standard New() method support

void itk::Statistics::MaximumRatioDecisionRule::operator= ( const Self &  )
private
virtual void itk::Statistics::MaximumRatioDecisionRule::PrintSelf ( std::ostream &  os,
Indent  indent 
) const
overrideprotectedvirtual

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.

Reimplemented from itk::Object.

void itk::Statistics::MaximumRatioDecisionRule::SetPriorProbabilities ( const PriorProbabilityVectorType &  p)

Set the prior probabilities used in evaluating $p(x|i) p(i) > p(x|j) p(j)$. The likelihoods are set using the Evaluate() method. SetPriorProbabilities needs to be called before Evaluate(). If not set, assumes a uniform prior.

Member Data Documentation

PriorProbabilityVectorType itk::Statistics::MaximumRatioDecisionRule::m_PriorProbabilities
private

Definition at line 111 of file itkMaximumRatioDecisionRule.h.

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