Java* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 4

CorDistDenseBatch.java

/* file: CorDistDenseBatch.java */
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/*
// Content:
// Java example of computing a correlation distance matrix
*/
package com.intel.daal.examples.distance;
import com.intel.daal.algorithms.cordistance.*;
import com.intel.daal.data_management.data.NumericTable;
import com.intel.daal.data_management.data_source.DataSource;
import com.intel.daal.data_management.data_source.FileDataSource;
import com.intel.daal.examples.utils.Service;
import com.intel.daal.services.DaalContext;
class CorDistDenseBatch {
/* Input data set parameters */
private static final String dataset = "../data/batch/distance.csv";
private static DaalContext context = new DaalContext();
public static void main(String[] args) throws java.io.FileNotFoundException, java.io.IOException {
/* Retrieve the input data */
FileDataSource dataSource = new FileDataSource(context, dataset,
DataSource.DictionaryCreationFlag.DoDictionaryFromContext,
DataSource.NumericTableAllocationFlag.DoAllocateNumericTable);
dataSource.loadDataBlock();
/* Create an algorithm to compute a correlation distance matrix using the defaultDense method */
Batch alg = new Batch(context, Float.class, Method.defaultDense);
NumericTable input = dataSource.getNumericTable();
alg.input.set(InputId.data, input);
Result result = alg.compute();
NumericTable res = result.get(ResultId.correlationDistance);
Service.printNumericTable("Correlation distance", res, 15,15);
context.dispose();
}
}

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