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

KernelFuncLinCSRBatch.java

/* file: KernelFuncLinCSRBatch.java */
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/*
// Content:
// Java example of computing a linear kernel function
*/
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.CSRNumericTable;
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 KernelFuncLinCSRBatch {
/* Input data set parameters */
private static final String leftDatasetFileName = "../data/batch/kernel_function_csr.csv";
private static final String rightDatasetFileName = "../data/batch/kernel_function_csr.csv";
private static final double k = 1.0; /* Linear kernel coefficient k */
private static final double b = 0.0; /* Linear kernel coefficient b */
private static DaalContext context = new DaalContext();
public static void main(String[] args) throws java.io.FileNotFoundException, java.io.IOException {
/* Read a data set from a file and create a numeric tables for storing the input data */
CSRNumericTable leftData = Service.createSparseTable(context, leftDatasetFileName);
CSRNumericTable rightData = Service.createSparseTable(context, rightDatasetFileName);
/* Create an algorithm */
com.intel.daal.algorithms.kernel_function.linear.Batch algorithm = new com.intel.daal.algorithms.kernel_function.linear.Batch(
context, Float.class, com.intel.daal.algorithms.kernel_function.linear.Method.fastCSR);
/* Set the kernel algorithm parameter */
algorithm.parameter.setK(k);
algorithm.parameter.setB(b);
algorithm.parameter.setComputationMode(com.intel.daal.algorithms.kernel_function.ComputationMode.matrixMatrix);
/* Set an input data table for the algorithm */
algorithm.input.set(InputId.X, leftData);
algorithm.input.set(InputId.Y, rightData);
/* Compute the linear kernel function */
com.intel.daal.algorithms.kernel_function.linear.Result result = algorithm.compute();
/* Print the results */
Service.printNumericTable("Values", result.get(ResultId.values));
context.dispose();
}
}

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