C++ API Reference for Intel® Data Analytics Acceleration Library 2019 Update 4

pivoted_qr_dense_batch.cpp

/* file: pivoted_qr_dense_batch.cpp */
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/*
! Content:
! C++ example of computing pivoted QR decomposition
!******************************************************************************/
#include "daal.h"
#include "service.h"
using namespace std;
using namespace daal;
using namespace daal::algorithms;
/* Input data set parameters */
const string datasetFileName = "../data/batch/qr.csv";
int main(int argc, char *argv[])
{
checkArguments(argc, argv, 1, &datasetFileName);
/* Initialize FileDataSource<CSVFeatureManager> to retrieve the input data from a .csv file */
FileDataSource<CSVFeatureManager> dataSource(datasetFileName, DataSource::doAllocateNumericTable, DataSource::doDictionaryFromContext);
/* Retrieve the data from the input file */
dataSource.loadDataBlock();
/* Create an algorithm to compute pivoted QR decomposition */
pivoted_qr::Batch<> algorithm;
algorithm.input.set(pivoted_qr::data, dataSource.getNumericTable());
/* Compute pivoted QR decomposition */
algorithm.compute();
pivoted_qr::ResultPtr res = algorithm.getResult();
/* Print the results */
printNumericTable(res->get(pivoted_qr::matrixQ), "Orthogonal matrix Q:", 10);
printNumericTable(res->get(pivoted_qr::matrixR), "Triangular matrix R:");
printNumericTable(res->get(pivoted_qr::permutationMatrix), "Permutation matrix P:");
return 0;
}

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