package com.intel.daal.examples.quality_metrics;
import java.nio.DoubleBuffer;
import com.intel.daal.data_management.data.HomogenNumericTable;
import com.intel.daal.examples.utils.Service;
import com.intel.daal.services.DaalContext;
import com.intel.daal.algorithms.pca.*;
import com.intel.daal.algorithms.pca.quality_metric.*;
import com.intel.daal.algorithms.pca.quality_metric_set.*;
import com.intel.daal.data_management.data.DataCollection;
import com.intel.daal.data_management.data_source.DataSource;
import com.intel.daal.data_management.data_source.FileDataSource;
class PCAMetricsDenseBatch {
private static final String trainDatasetFileName = "../data/batch/pca_normalized.csv";
private static final long nVectors = 1000;
private static final long nComponents = 5;
private static DaalContext context = new DaalContext();
public static void main(String[] args) throws java.io.FileNotFoundException, java.io.IOException {
FileDataSource dataSource = new FileDataSource(context, trainDatasetFileName,
DataSource.DictionaryCreationFlag.DoDictionaryFromContext,
DataSource.NumericTableAllocationFlag.DoAllocateNumericTable);
dataSource.loadDataBlock(nVectors);
Batch pca = new Batch(context, Float.class, Method.svdDense);
pca.input.set(InputId.data, dataSource.getNumericTable());
Result pcaResult = pca.compute();
QualityMetricSetBatch qms = new QualityMetricSetBatch(context, nComponents, 0);
ExplainedVarianceInput varianceMetrics = (ExplainedVarianceInput)qms.getInputDataCollection().getInput(QualityMetricId.explainedVariancesMetrics);
varianceMetrics.set(ExplainedVarianceInputId.eigenValues, pcaResult.get(ResultId.eigenValues));
ResultCollection res = qms.compute();
ExplainedVarianceResult qmsResult = (ExplainedVarianceResult)res.getResult(QualityMetricId.explainedVariancesMetrics);
Service.printNumericTable("Explained variances:", qmsResult.get(ExplainedVarianceResultId.explainedVariances));
Service.printNumericTable("Explained variance ratios:", qmsResult.get(ExplainedVarianceResultId.explainedVariancesRatios));
Service.printNumericTable("Noise variance:", qmsResult.get(ExplainedVarianceResultId.noiseVariance));
context.dispose();
}
}