PhysicsTools::MVATrainer Class Reference

#include <MVATrainer.h>

Classes
struct	CalibratedProcessor

Public Member Functions
TrainerMonitoring::Module *	bookMonitor (const std::string &name)
void	doneTraining (Calibration::MVAComputer *trainCalibration) const
Calibration::MVAComputer *	getCalibration () const
const std::string &	getName () const
Calibration::MVAComputer *	getTrainCalibration () const
void	loadState ()
	MVATrainer (const std::string &fileName, bool useXSLT=false, const char *styleSheet=0)
void	saveState ()
void	setAutoSave (bool autoSave)
void	setCleanup (bool cleanup)
void	setCrossValidation (double split)
void	setMonitoring (bool monitoring)
void	setRandomSeed (UInt_t seed)
std::string	trainFileName (const TrainProcessor *proc, const std::string &ext, const std::string &arg="") const
	~MVATrainer ()

Static Public Attributes
static const AtomicId	kTargetId
static const AtomicId	kWeightId

Private Member Functions
void	connectProcessors (Calibration::MVAComputer *calib, const std::vector< CalibratedProcessor > &procs, bool withTarget) const
SourceVariable *	createVariable (Source *source, AtomicId name, Variable::Flags flags)
void	fillInputVars (SourceVariableSet &vars, XERCES_CPP_NAMESPACE_QUALIFIER DOMElement *xml)
void	fillOutputVars (SourceVariableSet &vars, Source *source, XERCES_CPP_NAMESPACE_QUALIFIER DOMElement *xml)
std::vector< AtomicId >	findFinalProcessors () const
void	findUntrainedComputers (std::vector< AtomicId > &compute, std::vector< AtomicId > &train) const
SourceVariable *	getVariable (AtomicId source, AtomicId name) const
void	makeProcessor (XERCES_CPP_NAMESPACE_QUALIFIER DOMElement *elem, AtomicId id, const char *name)
Calibration::MVAComputer *	makeTrainCalibration (const AtomicId *compute, const AtomicId *train) const

Private Attributes
double	crossValidation
bool	doAutoSave
bool	doCleanup
bool	doMonitoring
Source *	input
std::auto_ptr< TrainerMonitoring >	monitoring
std::string	name
TrainProcessor *	output
std::vector< AtomicId >	processors
UInt_t	randomSeed
std::map< AtomicId, Source * >	sources
std::string	trainFileMask
std::vector< SourceVariable * >	variables
std::auto_ptr< XMLDocument >	xml

Detailed Description

Definition at line 27 of file MVATrainer.h.

Constructor & Destructor Documentation

PhysicsTools::MVATrainer::MVATrainer	(	const std::string &	fileName,
		bool	useXSLT = false,
		const char *	styleSheet = 0
	)

Definition at line 422 of file MVATrainer.cc.

References ws_sso_content_reader::content, createVariable(), HTMLExport::elem(), PhysicsTools::escape(), edm::hlt::Exception, fillInputVars(), fillOutputVars(), PhysicsTools::Variable::FLAG_NONE, PhysicsTools::Variable::FLAG_OPTIONAL, edm::FileInPath::fullPath(), PhysicsTools::Source::getInputs(), input, PhysicsTools::SourceVariableSet::kTarget, kTargetId, PhysicsTools::SourceVariableSet::kWeight, kWeightId, makeProcessor(), name, python.Node::node, output, popcon_last_value_cfg::Source, sources, evf::utils::state, trainFileMask, xml, and zero.

                            :
    input(0), output(0), name("MVATrainer"),
    doAutoSave(true), doCleanup(false),
    doMonitoring(false), randomSeed(65539), crossValidation(0.0)
{
    if (useXSLT) {
        std::string sheet;
        if (!styleSheet)
            sheet = edm::FileInPath(
                "PhysicsTools/MVATrainer/data/MVATrainer.xsl")
                .fullPath();
        else
            sheet = styleSheet;

        std::string preproc = "xsltproc --xinclude " + escape(sheet) +
                              " " + escape(fileName);
        xml.reset(new XMLDocument(fileName, preproc));
    } else
        xml.reset(new XMLDocument(fileName));

    DOMNode *node = xml->getRootNode();

    if (std::strcmp(XMLSimpleStr(node->getNodeName()), "MVATrainer") != 0)
        throw cms::Exception("MVATrainer")
            << "Invalid XML root node." << std::endl;

    enum State {
        STATE_GENERAL,
        STATE_FIRST,
        STATE_MIDDLE,
        STATE_LAST
    } state = STATE_GENERAL;

    for(node = node->getFirstChild();
        node; node = node->getNextSibling()) {
        if (node->getNodeType() != DOMNode::ELEMENT_NODE)
            continue;

        std::string name = XMLSimpleStr(node->getNodeName());
        DOMElement *elem = static_cast<DOMElement*>(node);

        switch(state) {
            case STATE_GENERAL: {
            if (name != "general")
                throw cms::Exception("MVATrainer")
                    << "Expected general config as first "
                       "tag." << std::endl;

            for(DOMNode *subNode = elem->getFirstChild();
                subNode; subNode = subNode->getNextSibling()) {
                if (subNode->getNodeType() !=
                    DOMNode::ELEMENT_NODE)
                    continue;

                if (std::strcmp(XMLSimpleStr(
                    subNode->getNodeName()), "option") != 0)
                    throw cms::Exception("MVATrainer")
                        << "Expected option tag."
                        << std::endl;

                elem = static_cast<DOMElement*>(subNode);
                name = XMLDocument::readAttribute<std::string>(
                                elem, "name");
                std::string content = XMLSimpleStr(
                        elem->getTextContent());

                if (name == "id")
                    this->name = content;
                else if (name == "trainfiles")
                    trainFileMask = content;
                else
                    throw cms::Exception("MVATrainer")
                        << "Unknown option \""
                        << name << "\"." << std::endl;
            }

            state = STATE_FIRST;
            }   break;
            case STATE_FIRST: {
            if (name != "input")
                throw cms::Exception("MVATrainer")
                    << "Expected input config as second "
                       "tag." << std::endl;

            AtomicId id = XMLDocument::readAttribute<std::string>(
                                elem, "id");
            input = new Source(id, true);
            input->getOutputs().append(
                createVariable(input, kTargetId,
                               Variable::FLAG_NONE),
                SourceVariableSet::kTarget);
            input->getOutputs().append(
                createVariable(input, kWeightId,
                               Variable::FLAG_OPTIONAL),
                SourceVariableSet::kWeight);
            sources.insert(std::make_pair(id, input));
            fillOutputVars(input->getOutputs(), input, elem);

            state = STATE_MIDDLE;
            }   break;
            case STATE_MIDDLE: {
            if (name == "output") {
                AtomicId zero;
                output = new TrainProcessor("output",
                                            &zero, this);
                fillInputVars(output->getInputs(), elem);
                state = STATE_LAST;
                continue;
            } else if (name != "processor")
                throw cms::Exception("MVATrainer")
                    << "Unexpected tag after input "
                       "config." << std::endl;

            AtomicId id = XMLDocument::readAttribute<std::string>(
                                elem, "id");
            std::string name =
                XMLDocument::readAttribute<std::string>(
                    elem, "name");

            makeProcessor(elem, id, name.c_str());
            }   break;
            case STATE_LAST:
            throw cms::Exception("MVATrainer")
                << "Unexpected tag found after output."
                << std::endl;
            break;
        }
    }

    if (state == STATE_FIRST)
        throw cms::Exception("MVATrainer")
            << "Expected input variable config." << std::endl;
    else if (state == STATE_MIDDLE)
        throw cms::Exception("MVATrainer")
            << "Expected output variable config." << std::endl;

    if (trainFileMask.empty())
        trainFileMask = this->name + "_%s%s.%s";
}

PhysicsTools::MVATrainer::~MVATrainer

(

)

Definition at line 563 of file MVATrainer.cc.

References PhysicsTools::TrainProcessor::cleanup(), doCleanup, monitoring, output, proc, sources, and variables.

{
    if (monitoring.get())
        monitoring->write();

    for(std::map<AtomicId, Source*>::const_iterator iter = sources.begin();
        iter != sources.end(); iter++) {
        TrainProcessor *proc =
                dynamic_cast<TrainProcessor*>(iter->second);

        if (proc && doCleanup)
            proc->cleanup();

        delete iter->second;
    }
    delete output;
    std::for_each(variables.begin(), variables.end(),
                  deleter<SourceVariable>());
}

Member Function Documentation

TrainerMonitoring::Module * PhysicsTools::MVATrainer::bookMonitor

(

const std::string &

name

)

Definition at line 710 of file MVATrainer.cc.

References doMonitoring, convertXMLtoSQLite_cfg::fileName, monitoring, PhysicsTools::stdStringPrintf(), and trainFileMask.

Referenced by PhysicsTools::TrainProcessor::doTrainBegin().

{
    if (!doMonitoring)
        return 0;

    if (!monitoring.get()) {
        std::string fileName = 
            stdStringPrintf(trainFileMask.c_str(),
                            "monitoring", "", "root");
        monitoring.reset(new TrainerMonitoring(fileName));
    }

    return monitoring->book(name);
}

void PhysicsTools::MVATrainer::connectProcessors ( Calibration::MVAComputer *  calib, const std::vector< CalibratedProcessor > &  procs, bool  withTarget  ) const

private

Definition at line 885 of file MVATrainer.cc.

References PhysicsTools::Calibration::MVAComputer::addProcessor(), calib, PhysicsTools::Calibration::convert(), edm::hlt::Exception, PhysicsTools::SourceVariableSet::get(), PhysicsTools::Variable::getFlags(), PhysicsTools::Source::getInputs(), PhysicsTools::Variable::getName(), PhysicsTools::Source::getOutputs(), i, input, PhysicsTools::Calibration::MVAComputer::inputSet, prof2calltree::last, Association::map, PhysicsTools::Calibration::Variable::name, output, PhysicsTools::Calibration::MVAComputer::output, PhysicsTools::SourceVariableSet::size(), findQualityFiles::size, and variables.

Referenced by getCalibration(), and makeTrainCalibration().

{
    std::map<SourceVariable*, unsigned int> vars;
    unsigned int size = 0;

    MVATrainerComputer *trainCalib =
            dynamic_cast<MVATrainerComputer*>(calib);

    for(unsigned int i = 0;
        i < input->getOutputs().size(true); i++) {
        if (i < 2 && !withTarget)
            continue;

        SourceVariable *var = variables[i];
        vars[var] = size++;

        Calibration::Variable calibVar;
        calibVar.name = (const char*)var->getName();
        calib->inputSet.push_back(calibVar);
        if (trainCalib)
            trainCalib->addFlag(var->getFlags());
    }

    for(std::vector<CalibratedProcessor>::const_iterator iter =
                procs.begin(); iter != procs.end(); iter++) {
        bool isInterceptor = dynamic_cast<BaseInterceptor*>(
                            iter->calib) != 0;

        BitSet inputSet(size);

        unsigned int last = 0;
        std::vector<SourceVariable*> inoutVars;
        if (iter->processor)
            inoutVars = iter->processor->getInputs().get(
                                isInterceptor);
        for(std::vector<SourceVariable*>::const_iterator iter2 =
            inoutVars.begin(); iter2 != inoutVars.end(); iter2++) {
            std::map<SourceVariable*,
                     unsigned int>::const_iterator pos =
                            vars.find(*iter2);

            assert(pos != vars.end());

            if (pos->second < last)
                throw cms::Exception("MVATrainer")
                    << "Input variables not declared "
                       "in order of appearance in \""
                    << (const char*)iter->processor->getName()
                    << "\"." << std::endl;

            inputSet[last = pos->second] = true;
        }

        assert(!isInterceptor || withTarget);

        iter->calib->inputVars = Calibration::convert(inputSet);

        calib->output = size;

        if (isInterceptor) {
            size++;
            continue;
        }

        calib->addProcessor(iter->calib);

        inoutVars = iter->processor->getOutputs().get();
        for(std::vector<SourceVariable*>::const_iterator iter =
            inoutVars.begin(); iter != inoutVars.end(); iter++) {

            vars[*iter] = size++;
        }
    }

    if (output->getInputs().size() != 1)
        throw cms::Exception("MVATrainer")
            << "Exactly one output variable has to be specified."
            << std::endl;

    SourceVariable *outVar = output->getInputs().get()[0];
    std::map<SourceVariable*, unsigned int>::const_iterator pos =
                            vars.find(outVar);
    if (pos != vars.end())
        calib->output = pos->second;
}

SourceVariable * PhysicsTools::MVATrainer::createVariable ( Source *  source, AtomicId  name, Variable::Flags  flags  )

private

Definition at line 734 of file MVATrainer.cc.

References PhysicsTools::Source::getName(), getVariable(), name, and variables.

Referenced by fillOutputVars(), and MVATrainer().

{
    SourceVariable *var = getVariable(source->getName(), name);
    if (var)
        return 0;

    var = new SourceVariable(source, name, flags);
    variables.push_back(var);
    return var;
}

void PhysicsTools::MVATrainer::doneTraining

(

Calibration::MVAComputer *

trainCalibration

)

const

Definition at line 1102 of file MVATrainer.cc.

References calib, and edm::hlt::Exception.

{
    MVATrainerComputer *calib =
            dynamic_cast<MVATrainerComputer*>(trainCalibration);

    if (!calib)
        throw cms::Exception("MVATrainer")
            << "Invalid training calibration passed to "
               "doneTraining()" << std::endl;

    calib->done();
}

void PhysicsTools::MVATrainer::fillInputVars ( SourceVariableSet &  vars, XERCES_CPP_NAMESPACE_QUALIFIER DOMElement *  xml  )

private

Definition at line 746 of file MVATrainer.cc.

References PhysicsTools::SourceVariableSet::append(), HTMLExport::elem(), edm::hlt::Exception, spr::find(), PhysicsTools::Source::getOutput(), getVariable(), input, PhysicsTools::SourceVariableSet::kRegular, PhysicsTools::SourceVariableSet::kTarget, kTargetId, PhysicsTools::SourceVariableSet::kWeight, kWeightId, n, name, python.Node::node, LaserTracksInput_cfi::source, filterCSVwithJSON::target, tmp, and variables.

Referenced by makeProcessor(), and MVATrainer().

{
    std::vector<SourceVariable*> tmp;
    SourceVariable *target = 0;
    SourceVariable *weight = 0;

    for(DOMNode *node = xml->getFirstChild(); node;
        node = node->getNextSibling()) {
        if (node->getNodeType() != DOMNode::ELEMENT_NODE)
            continue;

        if (std::strcmp(XMLSimpleStr(node->getNodeName()), "var") != 0)
            throw cms::Exception("MVATrainer")
                << "Invalid input variable node." << std::endl;

        DOMElement *elem = static_cast<DOMElement*>(node);

        AtomicId source = XMLDocument::readAttribute<std::string>(
                            elem, "source");
        AtomicId name = XMLDocument::readAttribute<std::string>(
                            elem, "name");

        SourceVariable *var = getVariable(source, name);
        if (!var)
            throw cms::Exception("MVATrainer")
                << "Input variable " << (const char*)source
                << ":" << (const char*)name
                << " not found." << std::endl;

        if (XMLDocument::readAttribute<bool>(elem, "target", false)) {
            if (target)
                throw cms::Exception("MVATrainer")
                    << "Target variable defined twice"
                    << std::endl;
            target = var;
        }
        if (XMLDocument::readAttribute<bool>(elem, "weight", false)) {
            if (weight)
                throw cms::Exception("MVATrainer")
                    << "Weight variable defined twice"
                    << std::endl;
            weight = var;
        }

        tmp.push_back(var);
    }

    if (!weight) {
        weight = input->getOutput(kWeightId);
        assert(weight);
        tmp.insert(tmp.begin() +
                    (target == input->getOutput(kTargetId)),
                   1, weight);
    }
    if (!target) {
        target = input->getOutput(kTargetId);
        assert(target);
        tmp.insert(tmp.begin(), 1, target);
    }

    unsigned int n = 0;
    for(std::vector<SourceVariable*>::const_iterator iter = variables.begin();
        iter != variables.end(); iter++) {
        std::vector<SourceVariable*>::const_iterator pos =
            std::find(tmp.begin(), tmp.end(), *iter);
        if (pos == tmp.end())
            continue;

        SourceVariableSet::Magic magic;
        if (*iter == target)
            magic = SourceVariableSet::kTarget;
        else if (*iter == weight)
            magic = SourceVariableSet::kWeight;
        else
            magic = SourceVariableSet::kRegular;

        if (vars.append(*iter, magic, pos - tmp.begin())) {
            AtomicId source = (*iter)->getSource()->getName();
            AtomicId name = (*iter)->getName();
            throw cms::Exception("MVATrainer")
                << "Input variable " << (const char*)source
                << ":" << (const char*)name
                << " defined twice." << std::endl;
        }

        n++;
    }

    assert(tmp.size() == n);
}

void PhysicsTools::MVATrainer::fillOutputVars ( SourceVariableSet &  vars, Source *  source, XERCES_CPP_NAMESPACE_QUALIFIER DOMElement *  xml  )

private

Definition at line 838 of file MVATrainer.cc.

References PhysicsTools::SourceVariableSet::append(), createVariable(), HTMLExport::elem(), edm::hlt::Exception, PhysicsTools::Variable::FLAG_MULTIPLE, PhysicsTools::Variable::FLAG_NONE, PhysicsTools::Variable::FLAG_OPTIONAL, PhysicsTools::Source::getName(), PhysicsTools::isMagic(), name, and python.Node::node.

Referenced by makeProcessor(), and MVATrainer().

{
    for(DOMNode *node = xml->getFirstChild(); node;
        node = node->getNextSibling()) {
        if (node->getNodeType() != DOMNode::ELEMENT_NODE)
            continue;

        if (std::strcmp(XMLSimpleStr(node->getNodeName()), "var") != 0)
            throw cms::Exception("MVATrainer")
                << "Invalid output variable node."
                << std::endl;

        DOMElement *elem = static_cast<DOMElement*>(node);

        AtomicId name = XMLDocument::readAttribute<std::string>(
                            elem, "name");
        if (!name)
            throw cms::Exception("MVATrainer")
                << "Output variable tag missing name."
                << std::endl;
        if (isMagic(name))
            throw cms::Exception("MVATrainer")
                << "Cannot use magic variable names in output."
                << std::endl;

        Variable::Flags flags = Variable::FLAG_NONE;

        if (XMLDocument::readAttribute<bool>(elem, "optional", true))
            flags = (PhysicsTools::Variable::Flags)
                (flags | Variable::FLAG_OPTIONAL);

        if (XMLDocument::readAttribute<bool>(elem, "multiple", true))
            flags = (PhysicsTools::Variable::Flags)
                (flags | Variable::FLAG_MULTIPLE);

        SourceVariable *var = createVariable(source, name, flags);
        if (!var || vars.append(var))
            throw cms::Exception("MVATrainer")
                << "Output variable "
                << (const char*)source->getName()
                << ":" << (const char*)name
                << " defined twice." << std::endl;
    }
}

std::vector< AtomicId > PhysicsTools::MVATrainer::findFinalProcessors ( ) const

private

Definition at line 1115 of file MVATrainer.cc.

References run_regression::done, PhysicsTools::SourceVariableSet::get(), PhysicsTools::Source::inputs, output, query::result, LaserTracksInput_cfi::source, and sources.

Referenced by getCalibration().

{
    std::set<Source*> toCheck;
    toCheck.insert(output);

    std::set<Source*> done;
    while(!toCheck.empty()) {
        Source *source = *toCheck.begin();
        toCheck.erase(toCheck.begin());

        std::vector<SourceVariable*> inputs = source->inputs.get();
        for(std::vector<SourceVariable*>::const_iterator iter =
                inputs.begin(); iter != inputs.end(); ++iter) {
            source = (*iter)->getSource();
            if (done.insert(source).second)
                toCheck.insert(source);
        }
    }

    std::vector<AtomicId> result;
    for(std::vector<AtomicId>::const_iterator iter = processors.begin();
        iter != processors.end(); ++iter) {
        std::map<AtomicId, Source*>::const_iterator pos =
                            sources.find(*iter);
        if (pos != sources.end() && done.count(pos->second))
            result.push_back(*iter);
    }

    return result;
}

void PhysicsTools::MVATrainer::findUntrainedComputers ( std::vector< AtomicId > &  compute, std::vector< AtomicId > &  train  ) const

private

Definition at line 1195 of file MVATrainer.cc.

References doMonitoring, PhysicsTools::SourceVariableSet::get(), PhysicsTools::Source::getInputs(), input, PhysicsTools::Source::isTrained(), PhysicsTools::kOutputId, output, proc, and sources.

Referenced by getTrainCalibration().

{
    compute.clear();
    train.clear();

    std::set<Source*> trainedSources;
    trainedSources.insert(input);

    for(std::vector<AtomicId>::const_iterator iter =
        processors.begin(); iter != processors.end(); iter++) {
        std::map<AtomicId, Source*>::const_iterator pos =
                            sources.find(*iter);
        assert(pos != sources.end());
        TrainProcessor *proc =
                dynamic_cast<TrainProcessor*>(pos->second);
        assert(proc);

        bool trainedDeps = true;
        std::vector<SourceVariable*> inputVars =
                    proc->getInputs().get();
        for(std::vector<SourceVariable*>::const_iterator iter2 =
            inputVars.begin(); iter2 != inputVars.end(); iter2++) {
            if (trainedSources.find((*iter2)->getSource())
                == trainedSources.end()) {
                trainedDeps = false;
                break;
            }
        }

        if (!trainedDeps)
            continue;

        if (proc->isTrained()) {
            trainedSources.insert(proc);
            compute.push_back(proc->getName());
        } else
            train.push_back(proc->getName());
    }

    if (doMonitoring && !output->isTrained() &&
        trainedSources.find(output->getInputs().get()[0]->getSource())
                        != trainedSources.end())
        train.push_back(kOutputId);
}

Calibration::MVAComputer * PhysicsTools::MVATrainer::getCalibration

(

)

const

Definition at line 1146 of file MVATrainer.cc.

References begin, calib, connectProcessors(), end, spr::find(), findFinalProcessors(), foreach, proc, processors, LaserTracksInput_cfi::source, and sources.

Referenced by PhysicsTools::MVATrainerContainerLooperImpl< Record_t >::produce(), and PhysicsTools::TreeTrainer::train().

{
    std::vector<CalibratedProcessor> processors;

    std::auto_ptr<Calibration::MVAComputer> calib(
                        new Calibration::MVAComputer);

    std::vector<AtomicId> used = findFinalProcessors();
    for(std::vector<AtomicId>::const_iterator iter = used.begin();
        iter != used.end(); iter++) {
        std::map<AtomicId, Source*>::const_iterator pos =
                            sources.find(*iter);
        assert(pos != sources.end());
        TrainProcessor *source =
                dynamic_cast<TrainProcessor*>(pos->second);
        assert(source);
        if (!source->isTrained())
            return 0;

        Calibration::VarProcessor *proc = source->getCalibration();
        if (!proc)
            continue;

        Calibration::ProcForeach *foreach =
                dynamic_cast<Calibration::ProcForeach*>(proc);
        if (foreach) {
            std::vector<AtomicId>::const_iterator begin =
                std::find(this->processors.begin(),
                          this->processors.end(), *iter);
            assert(this->processors.end() - begin >
                   (int)(foreach->nProcs + 1));
            ++begin;
            std::vector<AtomicId>::const_iterator end =
                        begin + foreach->nProcs;
            foreach->nProcs = 0;
            for(std::vector<AtomicId>::const_iterator iter2 =
                    iter; iter2 != used.end(); ++iter2)
                if (std::find(begin, end, *iter2) != end)
                    foreach->nProcs++;
        }

        processors.push_back(CalibratedProcessor(source, proc));
    }

    connectProcessors(calib.get(), processors, false);

    return calib.release();
}

const std::string& PhysicsTools::MVATrainer::getName ( void  ) const

inline

Definition at line 53 of file MVATrainer.h.

References name.

{ return name; }

Calibration::MVAComputer * PhysicsTools::MVATrainer::getTrainCalibration

(

)

const

Definition at line 1241 of file MVATrainer.cc.

References bookConverter::compute(), findUntrainedComputers(), and makeTrainCalibration().

Referenced by PhysicsTools::TreeTrainer::iteration().

{
    std::vector<AtomicId> compute, train;
    findUntrainedComputers(compute, train);

    if (train.empty())
        return 0;

    compute.push_back(0);
    train.push_back(0);

    return makeTrainCalibration(&compute.front(), &train.front());
}

SourceVariable * PhysicsTools::MVATrainer::getVariable ( AtomicId  source, AtomicId  name  ) const

private

Definition at line 725 of file MVATrainer.cc.

References sources.

Referenced by createVariable(), and fillInputVars().

{
    std::map<AtomicId, Source*>::const_iterator pos = sources.find(source);
    if (pos == sources.end())
        return 0;

    return pos->second->getOutput(name);
}

void PhysicsTools::MVATrainer::loadState

(

)

Definition at line 583 of file MVATrainer.cc.

References LaserTracksInput_cfi::source, and sources.

{
    for(std::vector<AtomicId>::const_iterator iter =
                        this->processors.begin();
        iter != this->processors.end(); iter++) {
        std::map<AtomicId, Source*>::const_iterator pos =
                            sources.find(*iter);
        assert(pos != sources.end());
        TrainProcessor *source =
                dynamic_cast<TrainProcessor*>(pos->second);
        assert(source);

        if (source->load())
            edm::LogInfo("MVATrainer")
                << source->getId() << " configuration for \""
                << (const char*)source->getName()
                << "\" loaded from file.";
    }
}

void PhysicsTools::MVATrainer::makeProcessor ( XERCES_CPP_NAMESPACE_QUALIFIER DOMElement *  elem, AtomicId  id, const char *  name  )

private

Definition at line 622 of file MVATrainer.cc.

References PhysicsTools::ProcessRegistry< Base_t, CalibBase_t, Parent_t >::Factory::create(), HTMLExport::elem(), edm::hlt::Exception, fillInputVars(), fillOutputVars(), python.Node::node, proc, sources, and GlobalPosition_Frontier_DevDB_cff::tag.

Referenced by MVATrainer().

{
    DOMElement *xmlInput = 0;
    DOMElement *xmlConfig = 0;
    DOMElement *xmlOutput = 0;
    DOMElement *xmlData = 0;

    static struct NameExpect {
        const char  *tag;
        bool        mandatory;
        DOMElement  **elem;
    } const expect[] = {
        { "input",  true,   &xmlInput },
        { "config", true,   &xmlConfig },
        { "output", true,   &xmlOutput },
        { "data",   false,  &xmlData },
        { 0, }
    };

    const NameExpect *cur = expect;
    for(DOMNode *node = elem->getFirstChild();
        node; node = node->getNextSibling()) {
        if (node->getNodeType() != DOMNode::ELEMENT_NODE)
            continue;

        std::string tag = XMLSimpleStr(node->getNodeName());
        DOMElement *elem = static_cast<DOMElement*>(node);

        if (!cur->tag)
            throw cms::Exception("MVATrainer")
                << "Superfluous tag " << tag
                << "encountered in processor." << std::endl;
        else if (tag != cur->tag && cur->mandatory)
            throw cms::Exception("MVATrainer")
                << "Expected tag " << cur->tag << ", got "
                << tag << " instead in processor."
                << std::endl;
        else if (tag != cur->tag) {
            cur++;
            continue;
        }
        *(cur++)->elem = elem;
    }

    while(cur->tag && !cur->mandatory)
        cur++;
    if (cur->tag)
        throw cms::Exception("MVATrainer")
            << "Unexpected end of processor configuration, "
            << "expected tag " << cur->tag << "." << std::endl;

    std::auto_ptr<TrainProcessor> proc(
                TrainProcessor::create(name, &id, this));
    if (!proc.get())
        throw cms::Exception("MVATrainer")
            << "Variable processor trainer " << name
            << " could not be instantiated. Most likely because"
               " the trainer plugin for \"" << name << "\""
               " does not exist." << std::endl;

    if (sources.find(id) != sources.end())
        throw cms::Exception("MVATrainer")
            << "Duplicate variable processor id "
            << (const char*)id << "."
            << std::endl;

    fillInputVars(proc->getInputs(), xmlInput);
    fillOutputVars(proc->getOutputs(), proc.get(), xmlOutput);

    edm::LogInfo("MVATrainer")
        << "Configuring " << (const char*)proc->getId()
        << " \"" << (const char*)proc->getName() << "\".";
    proc->configure(xmlConfig);

    sources.insert(std::make_pair(id, proc.release()));
    processors.push_back(id);
}

Calibration::MVAComputer * PhysicsTools::MVATrainer::makeTrainCalibration ( const AtomicId *  compute, const AtomicId *  train  ) const

private

Definition at line 974 of file MVATrainer.cc.

References calib, bookConverter::compute(), connectProcessors(), crossValidation, doAutoSave, run_regression::done, spr::find(), i, interceptors, PhysicsTools::kOutputId, AlignmentProducer_cff::looper, n, PhysicsTools::Calibration::ProcForeach::nProcs, output, proc, processors, randomSeed, LaserTracksInput_cfi::source, and sources.

Referenced by getTrainCalibration().

{
    std::map<AtomicId, TrainInterceptor*> interceptors;
    std::vector<MVATrainerComputer::Interceptor> baseInterceptors;
    std::vector<CalibratedProcessor> processors;

    BaseInterceptor *interceptor = new InitInterceptor;
    baseInterceptors.push_back(std::make_pair(0, interceptor));
    processors.push_back(CalibratedProcessor(0, interceptor));

    for(const AtomicId *iter = train; *iter; iter++) {
        TrainProcessor *source;
        if (*iter == kOutputId)
            source = output;
        else {
            std::map<AtomicId, Source*>::const_iterator pos =
                            sources.find(*iter);
            assert(pos != sources.end());
            source = dynamic_cast<TrainProcessor*>(pos->second);
        }
        assert(source);

        interceptors[*iter] = new TrainInterceptor(source);
    }

    auto_cleaner<Calibration::VarProcessor> autoClean;

    std::set<AtomicId> done;
    for(const AtomicId *iter = compute; *iter; iter++) {
        if (done.erase(*iter))
            continue;

        std::map<AtomicId, Source*>::const_iterator pos =
                            sources.find(*iter);
        assert(pos != sources.end());
        TrainProcessor *source =
                dynamic_cast<TrainProcessor*>(pos->second);
        assert(source);
        assert(source->isTrained());

        Calibration::VarProcessor *proc = source->getCalibration();
        if (!proc)
            continue;

        autoClean.add(proc);
        processors.push_back(CalibratedProcessor(source, proc));

        Calibration::ProcForeach *looper =
                dynamic_cast<Calibration::ProcForeach*>(proc);
        if (looper) {
            std::vector<AtomicId>::const_iterator pos2 =
                std::find(this->processors.begin(),
                          this->processors.end(), *iter);
            assert(pos2 != this->processors.end());
            ++pos2;
            unsigned int n = 0;
            for(int i = 0; i < (int)looper->nProcs; ++i, ++pos2) {
                assert(pos2 != this->processors.end());

                const AtomicId *iter2 = compute;
                while(*iter2) {
                    if (*iter2 == *pos2)
                        break;
                    iter2++;
                }

                if (*iter2) {
                    n++;
                    done.insert(*iter2);
                    pos = sources.find(*iter2);
                    assert(pos != sources.end());
                    TrainProcessor *source =
                        dynamic_cast<TrainProcessor*>(
                                pos->second);
                    assert(source);
                    assert(source->isTrained());

                    proc = source->getCalibration();
                    if (proc) {
                        autoClean.add(proc);
                        processors.push_back(
                            CalibratedProcessor(
                                source, proc));
                    }
                }

                std::map<AtomicId, TrainInterceptor*>::iterator
                        pos3 = interceptors.find(*pos2);
                if (pos3 != interceptors.end()) {
                    n++;
                    baseInterceptors.push_back(
                        std::make_pair(processors.size(),
                                   pos3->second));
                    processors.push_back(
                        CalibratedProcessor(
                            pos3->second->getProcessor(),
                            pos3->second));
                    interceptors.erase(pos3);
                }
            }

            looper->nProcs = n;
            if (!n) {
                baseInterceptors.pop_back();
                processors.pop_back();
            }
        }
    }

    for(std::map<AtomicId, TrainInterceptor*>::const_iterator iter =
        interceptors.begin(); iter != interceptors.end(); ++iter) {

        TrainProcessor *proc = iter->second->getProcessor();
        baseInterceptors.push_back(std::make_pair(processors.size(),
                                                  iter->second));
        processors.push_back(CalibratedProcessor(proc, iter->second));
    }

    std::auto_ptr<Calibration::MVAComputer> calib(
        new MVATrainerComputer(baseInterceptors, doAutoSave,
                               randomSeed, crossValidation));

    connectProcessors(calib.get(), processors, true);

    return calib.release();
}

void PhysicsTools::MVATrainer::saveState

(

)

Definition at line 603 of file MVATrainer.cc.

References doCleanup, LaserTracksInput_cfi::source, and sources.

{
    doCleanup = false;

    for(std::vector<AtomicId>::const_iterator iter =
                        this->processors.begin();
        iter != this->processors.end(); iter++) {
        std::map<AtomicId, Source*>::const_iterator pos =
                            sources.find(*iter);
        assert(pos != sources.end());
        TrainProcessor *source =
                dynamic_cast<TrainProcessor*>(pos->second);
        assert(source);

        if (source->isTrained())
            source->save();
    }
}

void PhysicsTools::MVATrainer::setAutoSave ( bool  autoSave )

inline

Definition at line 33 of file MVATrainer.h.

References doAutoSave.

{ doAutoSave = autoSave; }

void PhysicsTools::MVATrainer::setCleanup ( bool  cleanup )

inline

Definition at line 34 of file MVATrainer.h.

References edm::cleanup(), and doCleanup.

{ doCleanup = cleanup; }

void PhysicsTools::MVATrainer::setCrossValidation ( double  split )

inline

Definition at line 37 of file MVATrainer.h.

References crossValidation, and PhysicsTools::split().

Referenced by PhysicsTools::TreeTrainer::train().

{ crossValidation = split; }

void PhysicsTools::MVATrainer::setMonitoring ( bool  monitoring )

inline

Definition at line 35 of file MVATrainer.h.

References doMonitoring, and monitoring.

Referenced by PhysicsTools::TreeTrainer::train().

{ doMonitoring = monitoring; }

void PhysicsTools::MVATrainer::setRandomSeed ( UInt_t  seed )

inline

Definition at line 36 of file MVATrainer.h.

References randomSeed.

{ randomSeed = seed; }

std::string PhysicsTools::MVATrainer::trainFileName	(	const TrainProcessor *	proc,
		const std::string &	ext,
		const std::string &	arg = ""
	)		const

Definition at line 700 of file MVATrainer.cc.

References PhysicsTools::Source::getName(), PhysicsTools::stdStringPrintf(), and trainFileMask.

{
    std::string arg_ = arg.size() > 0 ? ("_" + arg) : "";
    return stdStringPrintf(trainFileMask.c_str(),
                           (const char*)proc->getName(),
                           arg_.c_str(), ext.c_str());
}

Member Data Documentation

double PhysicsTools::MVATrainer::crossValidation

private

Definition at line 115 of file MVATrainer.h.

Referenced by makeTrainCalibration(), and setCrossValidation().

bool PhysicsTools::MVATrainer::doAutoSave

private

Definition at line 110 of file MVATrainer.h.

Referenced by makeTrainCalibration(), and setAutoSave().

bool PhysicsTools::MVATrainer::doCleanup

private

Definition at line 111 of file MVATrainer.h.

Referenced by saveState(), setCleanup(), and ~MVATrainer().

bool PhysicsTools::MVATrainer::doMonitoring

private

Definition at line 112 of file MVATrainer.h.

Referenced by bookMonitor(), findUntrainedComputers(), and setMonitoring().

Source* PhysicsTools::MVATrainer::input

private

Definition at line 103 of file MVATrainer.h.

Referenced by connectProcessors(), fillInputVars(), findUntrainedComputers(), and MVATrainer().

const AtomicId PhysicsTools::MVATrainer::kTargetId

static

Definition at line 59 of file MVATrainer.h.

Referenced by PhysicsTools::TreeTrainer::addTree(), TtSemiLepJetCombMVATrainer::analyze(), evaluateTtFullHadSignalSel(), evaluateTtSemiLepSignalSel(), fillInputVars(), and MVATrainer().

const AtomicId PhysicsTools::MVATrainer::kWeightId

static

Definition at line 60 of file MVATrainer.h.

Referenced by PhysicsTools::TreeTrainer::addTree(), evaluateTtFullHadSignalSel(), evaluateTtSemiLepSignalSel(), fillInputVars(), and MVATrainer().

std::auto_ptr<TrainerMonitoring> PhysicsTools::MVATrainer::monitoring

private

Definition at line 106 of file MVATrainer.h.

Referenced by bookMonitor(), setMonitoring(), and ~MVATrainer().

std::string PhysicsTools::MVATrainer::name

private

Definition at line 109 of file MVATrainer.h.

Referenced by dirstructure.Directory::__create_pie_image(), dqm_interfaces.DirID::__eq__(), dirstructure.Directory::__get_full_path(), dirstructure.Comparison::__get_img_name(), dataset.Dataset::__getFileInfoList(), dirstructure.Comparison::__make_image(), dirstructure.Directory::__repr__(), dqm_interfaces.DirID::__repr__(), dirstructure.Comparison::__repr__(), BeautifulSoup.Tag::_invert(), dirstructure.Directory::calcStats(), createVariable(), python.rootplot.utilities.Hist::divide(), python.rootplot.utilities.Hist::divide_wilson(), fillInputVars(), fillOutputVars(), utils.StatisticalTest::get_status(), getName(), MVATrainer(), dirstructure.Directory::print_report(), python.rootplot.utilities.Hist::TGraph(), python.rootplot.utilities.Hist::TH1F(), and Vispa.Views.PropertyView.Property::valueChanged().

TrainProcessor* PhysicsTools::MVATrainer::output

private

Definition at line 104 of file MVATrainer.h.

Referenced by connectProcessors(), findFinalProcessors(), findUntrainedComputers(), makeTrainCalibration(), MVATrainer(), and ~MVATrainer().

std::vector<AtomicId> PhysicsTools::MVATrainer::processors

private

Definition at line 102 of file MVATrainer.h.

Referenced by getCalibration(), and makeTrainCalibration().

UInt_t PhysicsTools::MVATrainer::randomSeed

private

Definition at line 114 of file MVATrainer.h.

Referenced by makeTrainCalibration(), and setRandomSeed().

std::map<AtomicId, Source*> PhysicsTools::MVATrainer::sources

private

Definition at line 100 of file MVATrainer.h.

Referenced by findFinalProcessors(), findUntrainedComputers(), getCalibration(), getVariable(), loadState(), makeProcessor(), makeTrainCalibration(), MVATrainer(), saveState(), and ~MVATrainer().

std::string PhysicsTools::MVATrainer::trainFileMask

private

Definition at line 108 of file MVATrainer.h.

Referenced by bookMonitor(), MVATrainer(), and trainFileName().

std::vector<SourceVariable*> PhysicsTools::MVATrainer::variables

private

Definition at line 101 of file MVATrainer.h.

Referenced by connectProcessors(), createVariable(), fillInputVars(), and ~MVATrainer().

std::auto_ptr<XMLDocument> PhysicsTools::MVATrainer::xml

private

Definition at line 107 of file MVATrainer.h.

Referenced by MVATrainer().