49 from daal.algorithms
import pca
50 from daal.data_management
import FileDataSource, DataSourceIface
52 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
53 if utils_folder
not in sys.path:
54 sys.path.insert(0, utils_folder)
55 from utils
import printNumericTable
57 DAAL_PREFIX = os.path.join(
'..',
'data')
60 dataFileName = os.path.join(DAAL_PREFIX,
'batch',
'pca_normalized.csv')
63 if __name__ ==
"__main__":
66 dataSource = FileDataSource(
67 dataFileName, DataSourceIface.doAllocateNumericTable, DataSourceIface.doDictionaryFromContext
71 dataSource.loadDataBlock(nVectors)
74 algorithm = pca.Batch(fptype=np.float64)
77 algorithm.input.setDataset(pca.data, dataSource.getNumericTable())
78 algorithm.parameter.resultsToCompute = pca.mean | pca.variance | pca.eigenvalue;
79 algorithm.parameter.isDeterministic =
True;
82 result = algorithm.compute()
85 printNumericTable(result.get(pca.eigenvalues),
"Eigenvalues:")
86 printNumericTable(result.get(pca.eigenvectors),
"Eigenvectors:")
87 printNumericTable(result.get(pca.means),
"Means:")
88 printNumericTable(result.get(pca.variances),
"Variances:")