C++ API Reference for Intel® Data Analytics Acceleration Library 2016 Update 4

datastructures_aos.cpp

/* file: datastructures_aos.cpp */
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/*
! Content:
! C++ example of using an array of structures (AOS)
!******************************************************************************/
#include "daal.h"
#include "service.h"
using namespace daal;
struct PointType
{
float x;
float y;
int categ;
double value;
};
int main()
{
std::cout << "Array of structures (AOS) numeric table example" << std::endl << std::endl;
const size_t nObservations = 5;
const size_t nFeatures = 4;
PointType points[nObservations] =
{
{0.5f, -1.3f, 1, 100.1},
{2.5f, -3.3f, 2, 200.2},
{4.5f, -5.3f, 2, 350.3},
{6.5f, -7.3f, 0, 470.4},
{8.5f, -9.3f, 1, 270.5}
};
/* Create a new dictionary and fill it with the information about data */
NumericTableDictionary newDict(nFeatures);
/* Add a feature type to the dictionary */
newDict[0].featureType = data_feature_utils::DAAL_CONTINUOUS;
newDict[1].featureType = data_feature_utils::DAAL_CONTINUOUS;
newDict[2].featureType = data_feature_utils::DAAL_CATEGORICAL;
newDict[3].featureType = data_feature_utils::DAAL_CONTINUOUS;
/* Set the number of categories for a categorical feature */
newDict[2].categoryNumber = 3;
/* Construct AOS numericTable for a data array with nFeatures fields and nObservations elements*/
AOSNumericTable dataTable(points, nFeatures, nObservations);
/* Assign the new dictionary to an existing numeric table */
dataTable.setDictionary(&newDict);
/* Add data to the numeric table */
dataTable.setFeature<float> (0, DAAL_STRUCT_MEMBER_OFFSET(PointType, x));
dataTable.setFeature<float> (1, DAAL_STRUCT_MEMBER_OFFSET(PointType, y));
dataTable.setFeature<int> (2, DAAL_STRUCT_MEMBER_OFFSET(PointType, categ));
dataTable.setFeature<double>(3, DAAL_STRUCT_MEMBER_OFFSET(PointType, value));
/* Read a block of rows */
const size_t firstReadRow = 0;
BlockDescriptor<double> doubleBlock;
dataTable.getBlockOfRows(firstReadRow, nObservations, readOnly, doubleBlock);
printArray<double>(doubleBlock.getBlockPtr(), nFeatures, doubleBlock.getNumberOfRows(), "Print AOS data structures as double:");
dataTable.releaseBlockOfRows(doubleBlock);
/* Read a feature (column) */
size_t readFeatureIdx = 2;
BlockDescriptor<int> intBlock;
dataTable.getBlockOfColumnValues(readFeatureIdx, firstReadRow, nObservations, readOnly, intBlock);
printArray<int>(intBlock.getBlockPtr(), 1, intBlock.getNumberOfRows(), "Print the third feature of AOS:");
dataTable.releaseBlockOfColumnValues(intBlock);
return 0;
}