25 from daal.algorithms
import pca
26 from daal.data_management
import FileDataSource, DataSourceIface
28 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
29 if utils_folder
not in sys.path:
30 sys.path.insert(0, utils_folder)
31 from utils
import printNumericTable
33 DAAL_PREFIX = os.path.join(
'..',
'data')
36 dataFileName = os.path.join(DAAL_PREFIX,
'batch',
'pca_normalized.csv')
39 if __name__ ==
"__main__":
42 dataSource = FileDataSource(
43 dataFileName, DataSourceIface.doAllocateNumericTable, DataSourceIface.doDictionaryFromContext
47 dataSource.loadDataBlock(nVectors)
50 algorithm = pca.Batch(fptype=np.float64)
53 algorithm.input.setDataset(pca.data, dataSource.getNumericTable())
54 algorithm.parameter.resultsToCompute = pca.mean | pca.variance | pca.eigenvalue;
55 algorithm.parameter.isDeterministic =
True;
58 result = algorithm.compute()
61 printNumericTable(result.get(pca.eigenvalues),
"Eigenvalues:")
62 printNumericTable(result.get(pca.eigenvectors),
"Eigenvectors:")
63 printNumericTable(result.get(pca.means),
"Means:")
64 printNumericTable(result.get(pca.variances),
"Variances:")