/* file: assoc_rules_apriori_batch.cpp */
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!  Content:
!    C++ example of association rules mining

#include "daal.h"
#include "service.h"
using namespace std;
using namespace daal;
using namespace daal::algorithms;

/* Input data set parameters */
string datasetFileName = "../data/batch/apriori.csv";

/* Apriori algorithm parameters */
const double minSupport     = 0.001;    /* Minimum support */
const double minConfidence  = 0.7;      /* Minimum confidence */

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,

    /* Retrieve the data from the input file */

    /* Create an algorithm to mine association rules using the Apriori method */
    association_rules::Batch<> algorithm;

    /* Set the input object for the algorithm */
    algorithm.input.set(association_rules::data, dataSource.getNumericTable());

    /* Set the Apriori algorithm parameters */
    algorithm.parameter.minSupport = minSupport;
    algorithm.parameter.minConfidence = minConfidence;

    /* Find large item sets and construct association rules */

    /* Get computed results of the Apriori algorithm */
    association_rules::ResultPtr res = algorithm.getResult();

    /* Print the large item sets */

    /* Print the association rules */

    return 0;
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