Bachelorarbeit/ConditionMonitoring/MLAnalyzer.cpp

#include "MLAnalyzer.h"
#include <sstream>
#include "DataModel.h"
#include "SystemConfig.h"

MLAnalyzer::MLAnalyzer(CappedStorage *storage) :
    n(storage->getN()), m(storage->getM()), data(storage), updateRate(SystemConfig::getIntConfigParameter("update_model_rate"))
{
}



void MLAnalyzer::addData(Eigen::VectorXd Px, double Py)
{
    Eigen::Matrix<double, 1, 1> temp;
    temp << Py;
    addData(Px, temp);
}



void MLAnalyzer::addData(Eigen::MatrixXd Px, Eigen::VectorXd Py)
{
    //if(Px.cols() != n || (Px.rows() != Py.rows())){
    //    std::stringstream ss;
    //    ss << "Invalid Matrix dimensions: ";
    //    throw ss.str();
    //}
    //
    //X.conservativeResize(X.rows()+Px.rows(), Eigen::NoChange_t());
    //y.conservativeResize(y.rows()+Py.rows(),  Eigen::NoChange_t());
    //
    //X.block(m, 0, Px.rows(), 1)         = Eigen::MatrixXd::Ones(Px.rows(), 1);
    //X.block(m, 1, Px.rows(), Px.cols()) = Px;
    //
    //m += X.rows();
    //
    //if(++currentBatch >= trainAfterNPoints){
    //    updateModel();
    //    currentBatch = 0;
    //}
}