baseModel< T > Class Template Reference

#include <baseModel.h>

Inheritance diagram for baseModel< T >:

Collaboration diagram for baseModel< T >:

Public Member Functions
virtual	~baseModel ()
virtual T	run (const std::vector< T > &inputVector)=0
virtual void	train (const std::vector< trainingExampleTemplate< T > > &trainingSet)=0
virtual void	train (const std::vector< trainingExampleTemplate< T > > &trainingSet, const std::size_t whichOutput)=0
virtual void	reset ()=0
virtual size_t	getNumInputs () const =0
virtual std::vector< size_t >	getWhichInputs () const =0
virtual void	getJSONDescription (Json::Value &currentModel)=0

Protected Member Functions
template<typename TT , class Dummy = int>
Json::Value	vector2json (TT vec)
template<class Dummy = int>
Json::Value	vector2json (std::vector< unsigned long > vec)

Detailed Description

template<typename T>
class baseModel< T >

Base class for wekinator models. Implemented by NN and KNN classes

Constructor & Destructor Documentation

~baseModel()

template<typename T >

virtual baseModel< T >::~baseModel ( )

inlinevirtual

Member Function Documentation

getJSONDescription()

template<typename T >

virtual void baseModel< T >::getJSONDescription ( Json::Value &  currentModel )

pure virtual

Implemented in svmClassification< T >, neuralNetwork< T >, and knnClassification< T >.

getNumInputs()

template<typename T >

virtual size_t baseModel< T >::getNumInputs ( ) const

pure virtual

Implemented in svmClassification< T >, neuralNetwork< T >, and knnClassification< T >.

getWhichInputs()

template<typename T >

virtual std::vector<size_t> baseModel< T >::getWhichInputs ( ) const

pure virtual

Implemented in svmClassification< T >, neuralNetwork< T >, and knnClassification< T >.

reset()

template<typename T >

virtual void baseModel< T >::reset ( )

pure virtual

Implemented in svmClassification< T >, neuralNetwork< T >, and knnClassification< T >.

run()

template<typename T >

virtual T baseModel< T >::run ( const std::vector< T > &  inputVector )

pure virtual

Implemented in svmClassification< T >, neuralNetwork< T >, and knnClassification< T >.

train() [1/2]

template<typename T >

virtual void baseModel< T >::train ( const std::vector< trainingExampleTemplate< T > > &  trainingSet )

pure virtual

Implemented in svmClassification< T >, neuralNetwork< T >, and knnClassification< T >.

train() [2/2]

template<typename T >

virtual void baseModel< T >::train ( const std::vector< trainingExampleTemplate< T > > &  trainingSet, const std::size_t  whichOutput  )

pure virtual

Implemented in svmClassification< T >, neuralNetwork< T >, and knnClassification< T >.

vector2json() [1/2]

template<typename T >

template<class Dummy = int>

Json::Value baseModel< T >::vector2json ( std::vector< unsigned long >  vec )

inlineprotected

vector2json() [2/2]

template<typename T >

template<typename TT , class Dummy = int>

Json::Value baseModel< T >::vector2json ( TT  vec )

inlineprotected

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

• src/baseModel.h