package com.intel.daal.examples.pca_transform;
import com.intel.daal.algorithms.pca.*;
import com.intel.daal.algorithms.pca.transform.*;
import com.intel.daal.data_management.data.NumericTable;
import com.intel.daal.data_management.data.KeyValueDataCollection;
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 PCATransformDenseBatch {
private static final String dataset = "../data/batch/pca_transform.csv";
private static DaalContext context = new DaalContext();
public static void main(String[] args) throws java.io.FileNotFoundException, java.io.IOException {
FileDataSource dataSource = new FileDataSource(context, dataset,
DataSource.DictionaryCreationFlag.DoDictionaryFromContext,
DataSource.NumericTableAllocationFlag.DoAllocateNumericTable);
dataSource.loadDataBlock();
NumericTable input = dataSource.getNumericTable();
Batch algorithm =
new Batch(context, Float.class, Method.correlationDense);
algorithm.input.set(InputId.data, input);
Result result = algorithm.compute();
TransformBatch transformAlgorithm = new TransformBatch(context, Float.class, TransformMethod.defaultDense, 2);
transformAlgorithm.input.set(TransformInputId.data, input);
transformAlgorithm.input.set(TransformInputId.eigenvectors, result.get(ResultId.eigenVectors));
TransformResult transformResult = transformAlgorithm.compute();
Service.printNumericTable("First 4 rows of the input data:", input, 4);
Service.printNumericTable("First 4 rows of the PCA transformation result:",
transformResult.get(TransformResultId.transformedData), 4);
context.dispose();
}
}