package com.intel.daal.examples.pca;
import com.intel.daal.algorithms.pca.Batch;
import com.intel.daal.algorithms.pca.InputId;
import com.intel.daal.algorithms.pca.Method;
import com.intel.daal.algorithms.pca.Result;
import com.intel.daal.algorithms.pca.ResultId;
import com.intel.daal.algorithms.pca.ResultsToComputeId;
import com.intel.daal.data_management.data.NumericTable;
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 PCACorCSRBatch {
private static DaalContext context = new DaalContext();
private static final String datasetFileName = "../data/batch/covcormoments_csr.csv";
public static void main(String[] args) throws java.io.FileNotFoundException, java.io.IOException {
CSRNumericTable data = Service.createSparseTable(context, datasetFileName);
Batch pcaAlgorithm = new Batch(context, Float.class, Method.correlationDense);
com.intel.daal.algorithms.covariance.Batch covarianceSparse
= new com.intel.daal.algorithms.covariance.Batch(context, Float.class, com.intel.daal.algorithms.covariance.Method.fastCSR);
pcaAlgorithm.parameter.setCovariance(covarianceSparse);
pcaAlgorithm.parameter.setResultsToCompute(ResultsToComputeId.mean | ResultsToComputeId.variance | ResultsToComputeId.eigenvalue);
pcaAlgorithm.parameter.setIsDeterministic(true);
pcaAlgorithm.input.set(InputId.data, data);
Result res = pcaAlgorithm.compute();
NumericTable eigenValues = res.get(ResultId.eigenValues);
NumericTable eigenVectors = res.get(ResultId.eigenVectors);
NumericTable means = res.get(ResultId.means);
NumericTable variances = res.get(ResultId.variances);
Service.printNumericTable("Eigenvalues:", eigenValues);
Service.printNumericTable("Eigenvectors:", eigenVectors);
Service.printNumericTable("Means:", means);
Service.printNumericTable("Variances:", variances);
context.dispose();
}
}