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

Referenced by lar_content::AdaBoostDecisionTree::WeakClassifier::EvaluateNode().

lar_content::AdaBoostDecisionTree::StrongClassifier::StrongClassifier

(

const StrongClassifier &

rhs

)

Copy constructor.

Parameters

rhs	the strong classifier to copy

Definition at line 382 of file LArAdaBoostDecisionTree.cc.

References m_weakClassifiers, and lar_content::AdaBoostDecisionTree::WeakClassifier::WeakClassifier().

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

lar_content::AdaBoostDecisionTree::StrongClassifier::~StrongClassifier

(

)

Destructor.

Definition at line 403 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 390 of file LArAdaBoostDecisionTree.cc.

References m_weakClassifiers, and lar_content::AdaBoostDecisionTree::WeakClassifier::WeakClassifier().

{
    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 411 of file LArAdaBoostDecisionTree.cc.

Referenced by lar_content::AdaBoostDecisionTree::CalculateScore().

{
    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 443 of file LArAdaBoostDecisionTree.cc.

References lar_content::AdaBoostDecisionTree::WeakClassifier::WeakClassifier().

{
    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.

Referenced by operator=(), and StrongClassifier().

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

• /cvmfs/larsoft.opensciencegrid.org/products/larpandoracontent/v03_14_03/source/larpandoracontent/LArObjects/LArAdaBoostDecisionTree.h
• /cvmfs/larsoft.opensciencegrid.org/products/larpandoracontent/v03_14_03/source/larpandoracontent/LArObjects/LArAdaBoostDecisionTree.cc