47 from daal
import step1Local, step2Master
48 from daal.algorithms
import covariance
49 from daal.algorithms
import pca
51 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
52 if utils_folder
not in sys.path:
53 sys.path.insert(0, utils_folder)
54 from utils
import printNumericTable, createSparseTable
56 DAAL_PREFIX = os.path.join(
'..',
'data')
61 os.path.join(DAAL_PREFIX,
'distributed',
'covcormoments_csr_1.csv'),
62 os.path.join(DAAL_PREFIX,
'distributed',
'covcormoments_csr_2.csv'),
63 os.path.join(DAAL_PREFIX,
'distributed',
'covcormoments_csr_3.csv'),
64 os.path.join(DAAL_PREFIX,
'distributed',
'covcormoments_csr_4.csv')
67 if __name__ ==
"__main__":
70 masterAlgorithm = pca.Distributed(step2Master)
72 for i
in range(nBlocks):
73 dataTable = createSparseTable(datasetFileNames[i])
76 localAlgorithm = pca.Distributed(step1Local)
79 localAlgorithm.parameter.covariance = covariance.Distributed(step1Local, method=covariance.fastCSR)
82 localAlgorithm.input.setDataset(pca.data, dataTable)
86 masterAlgorithm.input.add(pca.partialResults, localAlgorithm.compute())
89 masterAlgorithm.parameter.covariance = covariance.Distributed(step2Master, method=covariance.fastCSR)
92 masterAlgorithm.compute()
94 result = masterAlgorithm.finalizeCompute()
97 printNumericTable(result.get(pca.eigenvalues),
"Eigenvalues:")
98 printNumericTable(result.get(pca.eigenvectors),
"Eigenvectors:")