47 from daal
import step1Local, step2Master
48 from daal.algorithms
import covariance
50 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
51 if utils_folder
not in sys.path:
52 sys.path.insert(0, utils_folder)
53 from utils
import printNumericTable, createSparseTable
55 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 partialResult = [0] * nBlocks
71 def computestep1Local(block):
74 dataTable = createSparseTable(datasetFileNames[block])
77 algorithm = covariance.Distributed(step1Local, method=covariance.fastCSR)
80 algorithm.input.set(covariance.data, dataTable)
83 partialResult[block] = algorithm.compute()
86 def computeOnMasterNode():
90 algorithm = covariance.Distributed(step2Master, method=covariance.fastCSR)
93 for i
in range(nBlocks):
94 algorithm.input.add(covariance.partialResults, partialResult[i])
100 result = algorithm.finalizeCompute()
102 if __name__ ==
"__main__":
104 for i
in range(nBlocks):
107 computeOnMasterNode()
109 printNumericTable(result.get(covariance.covariance),
"Covariance matrix (upper left square 10*10) :", 10, 10)
110 printNumericTable(result.get(covariance.mean),
"Mean vector:", 1, 10)