C++ API Reference for Intel® Data Analytics Acceleration Library 2018 Update 3

qr_dense_online.cpp

/* file: qr_dense_online.cpp */
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/*
! Content:
! C++ example of computing QR decomposition in the online processing mode
!******************************************************************************/
#include "daal.h"
#include "service.h"
using namespace std;
using namespace daal;
using namespace daal::algorithms;
/* Input data set parameters */
const string datasetFileName = "../data/online/qr.csv";
const size_t nRowsInBlock = 4000;
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);
/* Create an algorithm to compute QR decomposition in the online processing mode */
qr::Online<> algorithm;
while(dataSource.loadDataBlock(nRowsInBlock) == nRowsInBlock)
{
algorithm.input.set( qr::data, dataSource.getNumericTable() );
/* Compute QR decomposition */
algorithm.compute();
}
/* Finalize computations and retrieve the results */
algorithm.finalizeCompute();
qr::ResultPtr res = algorithm.getResult();
/* Print the results */
printNumericTable(res->get(qr::matrixQ), "Orthogonal matrix Q:", 10);
printNumericTable(res->get(qr::matrixR), "Triangular matrix R:");
return 0;
}

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