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transfer_multitaskleastsquaresregression.cpp
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transfer_multitaskleastsquaresregression.cpp
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#include <shogun/lib/config.h>
#ifdef USE_GPL_SHOGUN
#include <shogun/labels/RegressionLabels.h>
#include <shogun/features/DenseFeatures.h>
#include <shogun/transfer/multitask/MultitaskLeastSquaresRegression.h>
#include <shogun/transfer/multitask/Task.h>
#include <shogun/transfer/multitask/TaskTree.h>
#include <shogun/transfer/multitask/TaskGroup.h>
#include <shogun/lib/common.h>
#include <shogun/io/SGIO.h>
using namespace shogun;
int main(int argc, char** argv)
{
// create some data
SGMatrix<float64_t> matrix(2,4);
for (int32_t i=0; i<2*4; i++)
matrix.matrix[i]=i;
DenseFeatures<float64_t>* features= new DenseFeatures<float64_t>(matrix);
// create three labels
RegressionLabels* labels=new RegressionLabels(4);
labels->set_label(0, -1.4);
labels->set_label(1, +1.5);
labels->set_label(2, -1.2);
labels->set_label(3, +1.1);
CTask* first_task = new CTask(0,2);
CTask* second_task = new CTask(2,4);
CTaskGroup* task_group = new CTaskGroup();
task_group->append_task(first_task);
task_group->append_task(second_task);
CMultitaskLeastSquaresRegression* regressor = new CMultitaskLeastSquaresRegression(0.5,features,labels,task_group);
regressor->train();
regressor->set_current_task(0);
regressor->get_w().display_vector();
return 0;
}
#else //USE_GPL_SHOGUN
int main(int argc, char** argv)
{
return 0;
}
#endif //USE_GPL_SHOGUN