50 from daal
import step1Local, step2Master
51 from daal.algorithms
import covariance
52 from daal.algorithms
import pca
54 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
55 if utils_folder
not in sys.path:
56 sys.path.insert(0, utils_folder)
57 from utils
import printNumericTable, createSparseTable
59 DAAL_PREFIX = os.path.join(
'..',
'data')
64 os.path.join(DAAL_PREFIX,
'distributed',
'covcormoments_csr_1.csv'),
65 os.path.join(DAAL_PREFIX,
'distributed',
'covcormoments_csr_2.csv'),
66 os.path.join(DAAL_PREFIX,
'distributed',
'covcormoments_csr_3.csv'),
67 os.path.join(DAAL_PREFIX,
'distributed',
'covcormoments_csr_4.csv')
70 if __name__ ==
"__main__":
73 masterAlgorithm = pca.Distributed(step2Master,fptype=np.float64)
75 for i
in range(nBlocks):
76 dataTable = createSparseTable(datasetFileNames[i])
79 localAlgorithm = pca.Distributed(step1Local,fptype=np.float64)
82 localAlgorithm.parameter.covariance = covariance.Distributed(step1Local, fptype=np.float64, method=covariance.fastCSR)
85 localAlgorithm.input.setDataset(pca.data, dataTable)
89 masterAlgorithm.input.add(pca.partialResults, localAlgorithm.compute())
92 masterAlgorithm.parameter.covariance = covariance.Distributed(step2Master, fptype=np.float64, method=covariance.fastCSR)
95 masterAlgorithm.compute()
97 result = masterAlgorithm.finalizeCompute()
100 printNumericTable(result.get(pca.eigenvalues),
"Eigenvalues:")
101 printNumericTable(result.get(pca.eigenvectors),
"Eigenvectors:")