26 from daal
import step1Local, step2Master
27 from daal.algorithms
import covariance
28 from daal.algorithms
import pca
30 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
31 if utils_folder
not in sys.path:
32 sys.path.insert(0, utils_folder)
33 from utils
import printNumericTable, createSparseTable
35 DAAL_PREFIX = os.path.join(
'..',
'data')
40 os.path.join(DAAL_PREFIX,
'distributed',
'covcormoments_csr_1.csv'),
41 os.path.join(DAAL_PREFIX,
'distributed',
'covcormoments_csr_2.csv'),
42 os.path.join(DAAL_PREFIX,
'distributed',
'covcormoments_csr_3.csv'),
43 os.path.join(DAAL_PREFIX,
'distributed',
'covcormoments_csr_4.csv')
46 if __name__ ==
"__main__":
49 masterAlgorithm = pca.Distributed(step2Master,fptype=np.float64)
51 for i
in range(nBlocks):
52 dataTable = createSparseTable(datasetFileNames[i])
55 localAlgorithm = pca.Distributed(step1Local,fptype=np.float64)
58 localAlgorithm.parameter.covariance = covariance.Distributed(step1Local, fptype=np.float64, method=covariance.fastCSR)
61 localAlgorithm.input.setDataset(pca.data, dataTable)
65 masterAlgorithm.input.add(pca.partialResults, localAlgorithm.compute())
68 masterAlgorithm.parameter.covariance = covariance.Distributed(step2Master, fptype=np.float64, method=covariance.fastCSR)
71 masterAlgorithm.compute()
73 result = masterAlgorithm.finalizeCompute()
76 printNumericTable(result.get(pca.eigenvalues),
"Eigenvalues:")
77 printNumericTable(result.get(pca.eigenvectors),
"Eigenvectors:")