ridge_regression.cpp

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#include <shark/Data/Csv.h>
#include <shark/Algorithms/Trainers/LinearRegression.h>
#include <shark/ObjectiveFunctions/Loss/SquaredLoss.h>
#include <shark/Core/Timer.h>
#include <iostream>
using namespace shark;
using namespace std;
 
int main(int argc, char **argv) {
    RegressionDataset data;
    importCSV(data, "blogData_train.csv", LAST_COLUMN,1,',','#', 2<<16);
 
    LinearRegression trainer(100);
    LinearModel<> model;
    
    Timer time;
    trainer.train(model, data);
    double time_taken = time.stop();
 
    SquaredLoss<> loss;
    cout << "Residual sum of squares:" << loss(data.labels(),model(data.inputs()))<<std::endl;
    cout << "Time:\n" << time_taken << endl;
    cout << time_taken << endl;
}