22 from daal.algorithms
import pca
23 from daal.data_management
import FileDataSource, DataSourceIface
25 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
26 if utils_folder
not in sys.path:
27 sys.path.insert(0, utils_folder)
28 from utils
import printNumericTable
30 DAAL_PREFIX = os.path.join(
'..',
'data')
33 dataFileName = os.path.join(DAAL_PREFIX,
'batch',
'pca_normalized.csv')
36 if __name__ ==
"__main__":
39 dataSource = FileDataSource(
40 dataFileName, DataSourceIface.doAllocateNumericTable, DataSourceIface.doDictionaryFromContext
44 dataSource.loadDataBlock(nVectors)
47 algorithm = pca.Batch(method=pca.svdDense)
50 algorithm.input.setDataset(pca.data, dataSource.getNumericTable())
51 algorithm.parameter.resultsToCompute = pca.mean | pca.variance | pca.eigenvalue;
52 algorithm.parameter.isDeterministic =
True;
55 result = algorithm.compute()
58 printNumericTable(result.get(pca.eigenvalues),
"Eigenvalues:")
59 printNumericTable(result.get(pca.eigenvectors),
"Eigenvectors:")
60 printNumericTable(result.get(pca.means),
"Means:")
61 printNumericTable(result.get(pca.variances),
"Variances:")