lar_content::AdaBoostDecisionTree::StrongClassifier Class Reference

StrongClassifier class used in application of adaptive boost decision tree. More...

Public Member Functions
	StrongClassifier (const pandora::TiXmlHandle *const pXmlHandle)
	Constructor using xml handle to set member variables. More...
	StrongClassifier (const StrongClassifier &rhs)
	Copy constructor. More...
StrongClassifier &	operator= (const StrongClassifier &rhs)
	Assignment operator. More...
	~StrongClassifier ()
	Destructor. More...
double	Predict (const LArMvaHelper::MvaFeatureVector &features) const
	Predict signal or background based on trained data. More...

Private Member Functions
pandora::StatusCode	ReadComponent (pandora::TiXmlElement *pCurrentXmlElement)
	Read xml element and if weak classifier add to member variables. More...

Private Attributes
WeakClassifiers	m_weakClassifiers
	Vector of weak classifers. More...

Detailed Description

StrongClassifier class used in application of adaptive boost decision tree.

Definition at line 269 of file LArAdaBoostDecisionTree.h.

Constructor & Destructor Documentation

lar_content::AdaBoostDecisionTree::StrongClassifier::StrongClassifier

(

const pandora::TiXmlHandle *const

pXmlHandle

)

Constructor using xml handle to set member variables.

Parameters

pXmlHandle

xml handle to use when setting member variables

lar_content::AdaBoostDecisionTree::StrongClassifier::StrongClassifier

(

const StrongClassifier &

rhs

)

Copy constructor.

Parameters

rhs	the strong classifier to copy

Definition at line 379 of file LArAdaBoostDecisionTree.cc.

{
    for (const WeakClassifier *const pWeakClassifier : rhs.m_weakClassifiers)
        m_weakClassifiers.emplace_back(new WeakClassifier(*pWeakClassifier));
}

lar_content::AdaBoostDecisionTree::StrongClassifier::~StrongClassifier

(

)

Destructor.

Definition at line 400 of file LArAdaBoostDecisionTree.cc.

{
    for (const WeakClassifier *const pWeakClassifier : m_weakClassifiers)
        delete pWeakClassifier;
}

Member Function Documentation

AdaBoostDecisionTree::StrongClassifier & lar_content::AdaBoostDecisionTree::StrongClassifier::operator=

(

const StrongClassifier &

rhs

)

Assignment operator.

Parameters

rhs	the strong classifier to assign

Definition at line 387 of file LArAdaBoostDecisionTree.cc.

{
    if (this != &rhs)
    {
        for (const WeakClassifier *const pWeakClassifier : rhs.m_weakClassifiers)
            m_weakClassifiers.emplace_back(new WeakClassifier(*pWeakClassifier));
    }

    return *this;
}

double lar_content::AdaBoostDecisionTree::StrongClassifier::Predict

(

const LArMvaHelper::MvaFeatureVector &

features

)

const

Predict signal or background based on trained data.

Parameters

features

the input features

Returns

return score produced from trained model

Definition at line 408 of file LArAdaBoostDecisionTree.cc.

{
    double score(0.), weights(0.);

    for (const WeakClassifier *const pWeakClassifier : m_weakClassifiers)
    {
        weights += pWeakClassifier->GetWeight();

        if (pWeakClassifier->Predict(features))
        {
            score += pWeakClassifier->GetWeight();
        }
        else
        {
            score -= pWeakClassifier->GetWeight();
        }
    }

    if (weights > std::numeric_limits<double>::epsilon())
    {
        score /= weights;
    }
    else
    {
        throw StatusCodeException(STATUS_CODE_INVALID_PARAMETER);
    }

    return score;
}

StatusCode lar_content::AdaBoostDecisionTree::StrongClassifier::ReadComponent ( pandora::TiXmlElement *  pCurrentXmlElement )

private

Read xml element and if weak classifier add to member variables.

Definition at line 440 of file LArAdaBoostDecisionTree.cc.

{
    const std::string componentName(pCurrentXmlElement->ValueStr());
    TiXmlHandle currentHandle(pCurrentXmlElement);

    if ((std::string("Name") == componentName) || (std::string("Timestamp") == componentName))
        return STATUS_CODE_SUCCESS;

    if (std::string("DecisionTree") == componentName)
    {
        m_weakClassifiers.emplace_back(new WeakClassifier(&currentHandle));
        return STATUS_CODE_SUCCESS;
    }

    return STATUS_CODE_INVALID_PARAMETER;
}

Member Data Documentation

WeakClassifiers lar_content::AdaBoostDecisionTree::StrongClassifier::m_weakClassifiers

private

Vector of weak classifers.

Definition at line 313 of file LArAdaBoostDecisionTree.h.

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

• LArAdaBoostDecisionTree.h
• LArAdaBoostDecisionTree.cc