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

KernelFuncRbfDenseBatch.java

/* file: KernelFuncRbfDenseBatch.java */
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/*
// Content:
// Java example of computing a radial basis function (RBF) kernel
*/
package com.intel.daal.examples.kernel_function;
import com.intel.daal.algorithms.kernel_function.InputId;
import com.intel.daal.algorithms.kernel_function.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 KernelFuncRbfDenseBatch {
/* Input data set parameters */
private static final String leftDatasetFileName = "../data/batch/kernel_function.csv";
private static final String rightDatasetFileName = "../data/batch/kernel_function.csv";
private static final double sigma = 1.0; /* RBF kernel coefficient */
private static DaalContext context = new DaalContext();
public static void main(String[] args) throws java.io.FileNotFoundException, java.io.IOException {
/* Retrieve the input data */
FileDataSource leftDataSource = new FileDataSource(context, leftDatasetFileName,
DataSource.DictionaryCreationFlag.DoDictionaryFromContext,
DataSource.NumericTableAllocationFlag.DoAllocateNumericTable);
FileDataSource rightDataSource = new FileDataSource(context, rightDatasetFileName,
DataSource.DictionaryCreationFlag.DoDictionaryFromContext,
DataSource.NumericTableAllocationFlag.DoAllocateNumericTable);
leftDataSource.loadDataBlock();
rightDataSource.loadDataBlock();
/* Create an algorithm */
com.intel.daal.algorithms.kernel_function.rbf.Batch algorithm = new com.intel.daal.algorithms.kernel_function.rbf.Batch(
context, Float.class);
/* Set the kernel algorithm parameter */
algorithm.parameter.setSigma(sigma);
algorithm.parameter.setComputationMode(com.intel.daal.algorithms.kernel_function.ComputationMode.matrixMatrix);
/* Set an input object for the algorithm */
NumericTable inputX = leftDataSource.getNumericTable();
NumericTable inputY = rightDataSource.getNumericTable();
/* Set an input data table for the algorithm */
algorithm.input.set(InputId.X, inputX);
algorithm.input.set(InputId.Y, inputY);
/* Compute the RBF kernel */
com.intel.daal.algorithms.kernel_function.rbf.Result result = algorithm.compute();
/* Get the computed results */
NumericTable values = result.get(ResultId.values);
/* Print the results */
Service.printNumericTable("Values", values);
context.dispose();
}
}

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