Java* API Reference for Intel® Data Analytics Acceleration Library 2016 Update 4

QROnline.java

/* file: QROnline.java */
/*******************************************************************************
* Copyright 2014-2016 Intel Corporation All Rights Reserved.
*
* The source code, information and material ("Material") contained herein is
* owned by Intel Corporation or its suppliers or licensors, and title to such
* Material remains with Intel Corporation or its suppliers or licensors. The
* Material contains proprietary information of Intel or its suppliers and
* licensors. The Material is protected by worldwide copyright laws and treaty
* provisions. No part of the Material may be used, copied, reproduced,
* modified, published, uploaded, posted, transmitted, distributed or disclosed
* in any way without Intel's prior express written permission. No license under
* any patent, copyright or other intellectual property rights in the Material
* is granted to or conferred upon you, either expressly, by implication,
* inducement, estoppel or otherwise. Any license under such intellectual
* property rights must be express and approved by Intel in writing.
*
* Unless otherwise agreed by Intel in writing, you may not remove or alter this
* notice or any other notice embedded in Materials by Intel or Intel's
* suppliers or licensors in any way.
*******************************************************************************/
/*
// Content:
// Java example of computing QR decomposition in the online processing mode
*/
package com.intel.daal.examples.qr;
import com.intel.daal.algorithms.qr.InputId;
import com.intel.daal.algorithms.qr.Method;
import com.intel.daal.algorithms.qr.Online;
import com.intel.daal.algorithms.qr.Result;
import com.intel.daal.algorithms.qr.ResultId;
import com.intel.daal.data_management.data.HomogenNumericTable;
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 QROnline {
/* Input data set parameters */
private static final String dataset = "../data/online/qr.csv";
private static final int nVectorsInBlock = 4000;
private static Result res;
private static DaalContext context = new DaalContext();
public static void main(String[] args) throws java.io.FileNotFoundException, java.io.IOException {
/* Initialize FileDataSource to retrieve the input data from a .csv file */
FileDataSource dataSource = new FileDataSource(context, dataset,
DataSource.DictionaryCreationFlag.DoDictionaryFromContext,
DataSource.NumericTableAllocationFlag.DoAllocateNumericTable);
/* Create an algorithm to compute QR decomposition in the online processing mode */
Online qrAlgorithm = new Online(context, Double.class, Method.defaultDense);
NumericTable input = dataSource.getNumericTable();
qrAlgorithm.input.set(InputId.data, input);
while (dataSource.loadDataBlock(nVectorsInBlock) == nVectorsInBlock) {
/* Compute QR decomposition */
qrAlgorithm.compute();
}
/* Finalize computations and retrieve the results */
res = qrAlgorithm.finalizeCompute();
/* Print the results */
printResults();
context.dispose();
}
private static void printResults() {
HomogenNumericTable Q = (HomogenNumericTable) res.get(ResultId.matrixQ);
HomogenNumericTable R = (HomogenNumericTable) res.get(ResultId.matrixR);
Service.printNumericTable("Orthogonal matrix Q (10 first vectors):", Q, 10);
Service.printNumericTable("Triangular matrix R:", R);
}
}