package com.intel.daal.examples.pca_transform;
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;
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;
import com.intel.daal.algorithms.pca.ResultId;
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);
algorithm.parameter.setResultsToCompute(ResultsToComputeId.mean | ResultsToComputeId.variance | ResultsToComputeId.eigenvalue);
Result result = algorithm.compute();
Service.printNumericTable("Eigenvalues:",result.get(ResultId.eigenValues));
Service.printNumericTable("Eigenvectors:",result.get(ResultId.eigenVectors));
Service.printNumericTable("Eigenvalues kv:",result.get(ResultId.eigenValues));
Service.printNumericTable("Means kv:",result.get(ResultId.means));
Service.printNumericTable("Variances kv:",result.get(ResultId.variances));
long a=2;
TransformInput inputDataAlg = new TransformInput(context,a);
long b=3;
KeyValueDataCollection dataCollection = new KeyValueDataCollection(context);
TransformBatch transformAlgorithm = new TransformBatch(context, Float.class, TransformMethod.defaultDense, 2);
transformAlgorithm.input.set(TransformInputId.data, input);
ResultId transformResultId = new ResultId(TransformDataInputId.dataForTransform.getValue());
int id = transformResultId.getValue();
transformAlgorithm.input.set(TransformInputId.eigenvectors, result.get(ResultId.eigenVectors));
NumericTable trNumTable = result.get(ResultId.means);
transformAlgorithm.input.set(TransformDataInputId.dataForTransform,dataCollection);
TransformResult transformResult = transformAlgorithm.compute();
Service.printNumericTable("Transformed data:", transformResult.get(TransformResultId.transformedData));
context.dispose();
}
}