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

cos_dist_dense_batch.cpp

/* file: cos_dist_dense_batch.cpp */
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/*
! Content:
! C++ example of computing a cosine distance matrix
!******************************************************************************/
#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/distance.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 a cosine distance matrix using the default method */
cosine_distance::Batch<> algorithm;
/* Set input objects for the algorithm */
algorithm.input.set(cosine_distance::data, dataSource.getNumericTable());
/* Compute a cosine distance matrix */
algorithm.compute();
/* Get the computed cosine distance matrix */
cosine_distance::ResultPtr res = algorithm.getResult();
printNumericTable(res->get(cosine_distance::cosineDistance), "Cosine distance", 15);
return 0;
}

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