/* file: LowOrderMomsDenseOnline.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 computing low order moments in the online processing mode

package com.intel.daal.examples.moments;

import com.intel.daal.algorithms.low_order_moments.*;
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 LowOrderMomsDenseOnline {

    /* Input data set parameters */
    private static final String datasetFileName = "../data/online/covcormoments_dense.csv";
    private static final int    nVectorsInBlock = 50;

    private static FileDataSource dataSource;

    private static Result result;

    private static DaalContext context = new DaalContext();

    public static void main(String[] args) throws java.io.FileNotFoundException, java.io.IOException {
        /* Retrieve the input data from a .csv file */
        dataSource = new FileDataSource(context, datasetFileName,

        /* Create algorithm objects to compute low order moments in the online processing mode using the default method */
        Online algorithm = new Online(context, Float.class, Method.defaultDense);

        /* Set input objects for the algorithm */
        NumericTable input = dataSource.getNumericTable();
        algorithm.input.set(InputId.data, input);

        while (dataSource.loadDataBlock(nVectorsInBlock) == nVectorsInBlock) {
            /* Compute partial low order moments estimates */

        /* Finalize the result in the online processing mode */
        result = algorithm.finalizeCompute();



    private static void printResults() {
        NumericTable minimum = result.get(ResultId.minimum);
        NumericTable maximum = result.get(ResultId.maximum);
        NumericTable sum = result.get(ResultId.sum);
        NumericTable sumSquares = result.get(ResultId.sumSquares);
        NumericTable sumSquaresCentered = result.get(ResultId.sumSquaresCentered);
        NumericTable mean = result.get(ResultId.mean);
        NumericTable secondOrderRawMoment = result.get(ResultId.secondOrderRawMoment);
        NumericTable variance = result.get(ResultId.variance);
        NumericTable standardDeviation = result.get(ResultId.standardDeviation);
        NumericTable variation = result.get(ResultId.variation);

        Service.printNumericTable("Minimum:", minimum);
        Service.printNumericTable("Maximum:", maximum);
        Service.printNumericTable("Sum:", sum);
        Service.printNumericTable("Sum of squares:", sumSquares);
        Service.printNumericTable("Sum of squared difference from the means:", sumSquaresCentered);
        Service.printNumericTable("Mean:", mean);
        Service.printNumericTable("Second order raw moment:", secondOrderRawMoment);
        Service.printNumericTable("Variance:", variance);
        Service.printNumericTable("Standart deviation:", standardDeviation);
        Service.printNumericTable("Variation:", variation);
For more complete information about compiler optimizations, see our Optimization Notice.
Select sticky button color: 
Orange (only for download buttons)