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

SVDDenseBatch.java

/* file: SVDDenseBatch.java */
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/*
// Content:
// Java example of singular value decomposition (SVD) in the batch
// processing mode
*/
package com.intel.daal.examples.svd;
import com.intel.daal.algorithms.svd.Batch;
import com.intel.daal.algorithms.svd.InputId;
import com.intel.daal.algorithms.svd.Method;
import com.intel.daal.algorithms.svd.Result;
import com.intel.daal.algorithms.svd.ResultId;
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 SVDDenseBatch {
/* Input data set parameters */
private static final String dataset = "../data/batch/svd.csv";
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);
/* Retrieve the data from an input file */
dataSource.loadDataBlock();
/* Create an algorithm to compute SVD */
Batch svdAlgorithm = new Batch(context, Float.class, Method.defaultDense);
/* Set the input data to the SVD algorithm */
NumericTable input = dataSource.getNumericTable();
svdAlgorithm.input.set(InputId.data, input);
Result res = svdAlgorithm.compute();
/* Print the results */
NumericTable leftSingularMatrix = res.get(ResultId.leftSingularMatrix);
NumericTable singularValues = res.get(ResultId.singularValues);
NumericTable rightSingularMatrix = res.get(ResultId.rightSingularMatrix);
Service.printNumericTable("Singular values:", singularValues);
Service.printNumericTable("Right orthogonal matrix V:", rightSingularMatrix);
Service.printNumericTable("Left orthogonal matrix U:", leftSingularMatrix, 10);
context.dispose();
}
}

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