Java* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5

CorCSROnline.java

/* file: CorCSROnline.java */
/*******************************************************************************
* Copyright 2014-2019 Intel Corporation.
*
* This software and the related documents are Intel copyrighted materials, and
* your use of them is governed by the express license under which they were
* provided to you (License). Unless the License provides otherwise, you may not
* use, modify, copy, publish, distribute, disclose or transmit this software or
* the related documents without Intel's prior written permission.
*
* This software and the related documents are provided as is, with no express
* or implied warranties, other than those that are expressly stated in the
* License.
*******************************************************************************/
/*
// Content:
// Java example of correlation matrix computation in the online
// processing mode
*/
package com.intel.daal.examples.covariance;
import com.intel.daal.algorithms.covariance.*;
import com.intel.daal.data_management.data.CSRNumericTable;
import com.intel.daal.data_management.data.HomogenNumericTable;
import com.intel.daal.examples.utils.Service;
import com.intel.daal.services.DaalContext;
/*
// Input data set is stored in the compressed sparse row format
*/
class CorCSROnline {
/* Input data set parameters */
private static final String datasetFileNames[] = new String[] { "../data/online/covcormoments_csr_1.csv",
"../data/online/covcormoments_csr_2.csv", "../data/online/covcormoments_csr_3.csv",
"../data/online/covcormoments_csr_4.csv" };
private static final int nBlocks = 4;
private static Result result;
private static DaalContext context = new DaalContext();
public static void main(String[] args) throws java.io.FileNotFoundException, java.io.IOException {
/* Create algorithm objects to compute a correlation matrix in the online processing mode using the default method */
Online algorithm = new Online(context, Float.class, Method.fastCSR);
/* Set the parameter to choose the type of the output matrix */
algorithm.parameter.setOutputMatrixType(OutputMatrixType.correlationMatrix);
for (int i = 0; i < nBlocks; i++) {
/* Read the input data from a file */
CSRNumericTable dataTable = Service.createSparseTable(context, datasetFileNames[i]);
/* Set input objects for the algorithm */
algorithm.input.set(InputId.data, dataTable);
/* Compute partial estimates */
algorithm.compute();
}
/* Finalize the result in the online processing mode */
result = algorithm.finalizeCompute();
HomogenNumericTable correlation = (HomogenNumericTable) result.get(ResultId.correlation);
HomogenNumericTable mean = (HomogenNumericTable) result.get(ResultId.mean);
Service.printNumericTable("Correlation matrix (upper left square 10*10) :", correlation, 10, 10);
Service.printNumericTable("Mean vector:", mean, 1, 10);
context.dispose();
}
}

For more complete information about compiler optimizations, see our Optimization Notice.