lar_content::MvaInterface Class Reference

MvaInterface class. More...

#include "LArMvaInterface.h"

Inheritance diagram for lar_content::MvaInterface:

Public Member Functions
virtual bool	Classify (const MvaTypes::MvaFeatureVector &features) const =0
	Classify the set of input features based on the trained model.
virtual double	CalculateClassificationScore (const MvaTypes::MvaFeatureVector &features) const =0
	Calculate the classification score for a set of input features, based on the trained model.
virtual double	CalculateProbability (const MvaTypes::MvaFeatureVector &features) const =0
	Calculate the classification probability for a set of input features, based on the trained model.
virtual	~MvaInterface ()=default
	Destructor.

Detailed Description

MvaInterface class.

Definition at line 92 of file LArMvaInterface.h.

Constructor & Destructor Documentation

~MvaInterface()

virtual lar_content::MvaInterface::~MvaInterface ( )

virtualdefault

Destructor.

Member Function Documentation

CalculateClassificationScore()

virtual double lar_content::MvaInterface::CalculateClassificationScore ( const MvaTypes::MvaFeatureVector &  features ) const

pure virtual

Calculate the classification score for a set of input features, based on the trained model.

Parameters

features

the input features

Returns

the classification score

Implemented in lar_content::AdaBoostDecisionTree, and lar_content::SupportVectorMachine.

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CalculateProbability()

virtual double lar_content::MvaInterface::CalculateProbability ( const MvaTypes::MvaFeatureVector &  features ) const

pure virtual

Calculate the classification probability for a set of input features, based on the trained model.

Parameters

features

the input features

Returns

the classification probability

Implemented in lar_content::AdaBoostDecisionTree, and lar_content::SupportVectorMachine.

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Classify()

virtual bool lar_content::MvaInterface::Classify ( const MvaTypes::MvaFeatureVector &  features ) const

pure virtual

Classify the set of input features based on the trained model.

Parameters

features

the input features

Returns

the classification

Implemented in lar_content::AdaBoostDecisionTree, and lar_content::SupportVectorMachine.

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

• LArContent/larpandoracontent/LArObjects/LArMvaInterface.h